Abras, Chadia, Maloney-Krichmar, Diane, and Preece, Jenny. User-centered design. In Bainbridge, William Sims, editor, Berkshire encyclopedia of human-computer interaction, volume 2, pages 763–767. Sage, Great Barrington, MA, 2004. ISBN 9780974309125. URL http://www.worldcat.org/oclc/635690108.Google Scholar

Admoni, Henny and Scassellati, Brian. Social eye gaze in human-robot interaction: A review. Journal of Human-Robot Interaction, 6(1):25–63, 2017. doi: 10.5898/JHRI.6.1.Admoni. URL https://doi.org/10.5898/JHRI.6.1.Admoni.Google Scholar

Alaerts, Kaat, Nackaerts, Evelien, Meyns, Pieter, Swinnen, Stephan P., and Wenderoth, Nicole. Action and emotion recognition from point light displays: An investigation of gender differences. PloS One, 6(6):e20989, 2011. doi: 10.1371/journal.pone.0020989. URL https://doi.org/10.1371/journal.pone.0020989.CrossRefGoogle Scholar

Brian Wilson Aldiss. Supertoys last all summer long: And other stories of future time. St. Martin’s Griffin, New York, NY, 2001. ISBN 978-0312280611. URL http://www.worldcat.org/oclc/956323493.Google Scholar

Alemi, Minoo, Meghdari, Ali, and Ghazisaedy, Maryam. Employing humanoid robots for teaching English language in Iranian junior high-schools. International Journal of Humanoid Robotics, 11(03):1450022, 2014. doi: 10.1142/S0219843614500224. URL https://doi.org/10.1142/S0219843614500224.Google Scholar

Alexander, Christopher. A pattern language: Towns, buildings, construction. Oxford University Press, Oxford, UK, 1977. ISBN 978-0195019193. URL http://www.worldcat.org/oclc/961298119.Google Scholar

Althaus, Philipp, Ishiguro, Hiroshi, Kanda, Takayuki, Miyashita, Takahiro, and Christensen, Henrik I.. Navigation for human-robot interaction tasks. In IEEE International Conference on Robotics and Automation, volume 2, pages 1894–1900. IEEE, 2004. ISBN 0-7803-8232-3. doi: 10.1109/ROBOT.2004.1308100. URL https://doi.org/10.1109/ROBOT.2004.1308100.Google Scholar

Aly, Amir and Tapus, Adriana. A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human-robot interaction. In Proceedings of the 8th ACM/IEEE International Conference on Human-Robot Interaction, HRI’13, pages 325–332, Piscataway, NJ, USA, 2013. IEEE Press. ISBN 978-1-4673-3055-8. doi: 10.1109/HRI.2013.6483606. URL https://doi.org/10.1109/HRI.2013.6483606.Google Scholar

American Osteopathic Association. Survey finds nearly three-quarters (72%) of Americans feel lonely, 2016. URL https://www.osteopathic.org/inside-aoa/news-and-publications/media-center/2016-news-releases/Pages/ 10-11-survey-finds-nearly-three-quarters-of-americans-feel-lonely. aspx.Google Scholar

Andersen, Peter A. and Guerrero, Laura K.. Principles of communication and emotion in social interaction. In Andersen, Peter A. and Guerrero, Laura K., editors, Handbook of communication and emotion: Research, theory, applications, and contexts, chapter 3, pages 49–96. Academic Press, 1998. ISBN 0-12-057770-4. doi: 10.1016/B978-012057770-5/50005-9. URL https://doi.org/10.1016/ B978–012057770-5/50005-9.Google Scholar

Andrist, Sean, Tan, Xiang Zhi, Gleicher, Michael, and Mutlu, Bilge. Conversational gaze aversion for humanlike robots. In ACM/IEEE International Conference on Human-Robot Interaction, pages 25–32. ACM, 2014. ISBN 978-1-4503-2658-2. doi: 10.1145/2559636.2559666. URL https://doi.org/10.1145/2559636.2559666.Google Scholar

Argall, Brenna D., Chernova, Sonia, Veloso, Manuela, and Browning, Brett. A survey of robot learning from demonstration. Robotics and Autonomous Systems, 57 (5):469–483, 2009. doi: 10.1016/j.robot.2008.10.024. URL https://doi.org/10. 1016/j.robot.2008.10.024.Google Scholar

Asch, S. E.. Effects of group pressure upon the modification and distortion of judgments, pages 177–190. Carnegie Press, Oxford, England, 1951. doi: psycinfo/1952-00803-001. URL http://doi.apa.org/psycinfo/1952-00803-001.Google Scholar

Asimov, Isaac. The Bicentennial man and other stories. Doubleday science fiction. Doubleday, Garden City, NY, [Book Club edition, 1976. ISBN 978-0385121989. URL http://www.worldcat.org/oclc/85069299.Google Scholar

Asimov, Isaac. Prelude to foundation. Grafton, London, UK, 1988. ISBN 9780008117481. URL http://www.worldcat.org/oclc/987248670.Google Scholar

Isaac Asimov, I, robot. Bantam spectra book. Bantam Books, New York, NY, 1991. ISBN 0553294385. URL http://www.worldcat.org/oclc/586089717.Google Scholar

Aviezer, Hillel, Trope, Yaacov, and Todorov, Alexander. Body cues, not facial expressions, discriminate between intense positive and negative emotions. Science, 338(6111):1225–1229, 2012. doi: 10.1126/science.1224313. URL https://doi.org/10.1126/science.1224313.CrossRefGoogle Scholar

Awad, Edmond, Dsouza, Sohan, Kim, Richard, Schulz, Jonathan, Henrich, Joseph, Shariff, Azim, Bonnefon, Jean-François, and Rahwan, Iyad. The moral machine experiment. Nature, 2018. ISSN 1476-4687. doi: 10.1038/s41586-018-0637-6. URL https://doi.org/10.1038/s41586–018-0637-6.Google Scholar

Bainbridge, Wilma A., Hart, Justin W., Kim, Elizabeth S., and Scassellati, Brian. The benefits of interactions with physically present robots over video-displayed agents. International Journal of Social Robotics, 3(1):41–52, Jan 2011. ISSN 1875-4805. doi: 10.1007/s12369-010-0082-7. URL https://doi.org/10.1007/ s12369–010-0082-7.Google Scholar

Baron-Cohen, Simon, Leslie, Alan M., and Frith, Uta. Does the autistic child have a “Theory of Mind”? Cognition, 21(1):37–46, 1985. doi: 10.1016/0010-0277(85)90022-8. URL https://doi.org/10.1016/0010-0277(85)90022-8.Google Scholar

Barrat, James. Why Stephen Hawking and Bill Gates are terrified of artificial intelligence. Huffington Post, 2015. URL http://www.huffingtonpost.com/ james-barrat/hawking-gates-artificial-intelligence_b_7008706.html.Google Scholar

Bartneck, Christoph. eMuu: An embodied emotional character for the ambient intelligent home. PhD thesis, Technische Universiteit Eindhoven, 2002. URL http://www.bartneck.de/publications/2002/eMuu/bartneckPHDThesis2002.pdf.Google Scholar

Bartneck, Christoph and Hu, Jun. Rapid prototyping for interactive robots. In The 8th Conference on Intelligent Autonomous Systems (IAS-8), pages 136–145, 2004. doi: 10.6084/m9.figshare.5160775.v1. URL https://doi.org/10.6084/m9.figshare.5160775.v1.Google Scholar

Bartneck, Christoph and Lyons, Michael J.. Facial expression analysis, modeling and synthesis: Overcoming the limitations of artificial intelligence with the art of the soluble. In Vallverdu, Jordi and Casacuberta, David, editors, Handbook of research on synthetic emotions and sociable robotics: New applications in affective computing and artificial intelligence, Information Science Reference, pages 33–53. IGI Global, 2009. URL http://www.bartneck.de/publications/2009/facialExpressionAnalysisModelingSynthesisAI/ bartneckLyonsEmotionBook2009.pdf.Google Scholar

Bartneck, Christoph and Rauterberg, M.. HCI reality—an unreal tournament. International Journal of Human-Computer Studies, 65(8):737–743, 2007. doi: 10.1016/j.ijhcs.2007.03.003. URL https://doi.org/10.1016/j.ijhcs.2007.03.003.Google Scholar

Bartneck, Christoph and Reichenbach, Juliane. Subtle emotional expressions of synthetic characters. International Journal of Human-Computer Studies, 62 (2):179 – 192, 2005. ISSN 1071-5819. doi: 10.1016/j.ijhcs.2004.11.006. URL https://doi.org/10.1016/j.ijhcs.2004.11.006. Subtle expressivity for charactersand robots.Google Scholar

Christoph, Bartneck, Nomura, T., Kanda, T., Suzuki, Tomhohiro, and Kennsuke, Kato. Cultural differences in attitudes towards robots. In AISB Symposium on Robot Companions: Hard Problems and Open Challenges in Human-Robot Interaction, pages 1–4. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB), 2005. doi: 10.13140/RG.2.2.22507.34085. URL http://www.bartneck.de/publications/2005/cultureNars/bartneckAISB2005.pdf.Google Scholar

Bartneck, Christoph, Croft, Elizabeth, Kulic, Dana, and Zoghbi, Susana. Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1(1):71–81, 2009. doi: 10.1007/s12369-008-0001-3. URL https://doi.org/10. 1007/s12369–008-0001-3.Google Scholar

Bartneck, Christoph, Duenser, Andreas, Moltchanova, Elena, and Zawieska, Karolina. Comparing the similarity of responses received from studies in Amazon’s Mechanical Turk to studies conducted online and with direct recruitment. PloS One, 10(4):e0121595, 2015. doi: 10.1371/journal.pone.0121595. URL https://doi.org/10.1371/journal.pone.0121595.CrossRefGoogle ScholarPubMed

Bartneck, Christoph, Yogeeswaran, Kumar, Ser, Qi Min, Woodward, Graeme, Sparrow, R., Wang, Siheng, and Eyssel, Friederike. Robots and racism. In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pages 196–204. ACM, 2018. ISBN 978-1-4503-4953-6. doi: 10.1145/3171221.3171260. URL https://doi.org/10.1145/3171221.3171260.Google Scholar

Baumann, Timo and Schlangen, David. The INPROTK 2012 release. In NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data, pages 29–32. Association for Computational Linguistics, 2012. URL http://dl.acm.org/citation.cfm?id=2390444.2390464.Google Scholar

Baumeister, Roy F. and Leary, Mark R.. The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117(3): 497–529, 1995. doi: 10.1037/0033-2909.117.3.497. URL https://doi.org/10.1037/0033-2909.117.3.497.Google Scholar

Baxter, Paul, Kennedy, James, Senft, Emmanuel, Lemaignan, Severin, and Belpaeme, Tony. From characterising three years of HRI to methodology and reporting recommendations. In The 11th ACM/IEEE International Conference on Human-Robot Interaction, pages 391–398. IEEE Press, 2016. ISBN 978-1-4673-8370-7. doi: 10.1109/HRI.2016.7451777. URL https://doi.org/10.1109/HRI.2016.7451777.Google Scholar

Beck, Aryel, Hiolle, Antoine, Mazel, Alexandre, and Cañamero, Lola. Interpretation of emotional body language displayed by robots. In Proceedings of the 3rd International Workshop on Affective Interaction in Natural Environments, pages 37– 42. ACM, 2010. ISBN 978-1-4503-0170-1. doi: 10.1145/1877826.1877837. URL https://doi.org/10.1145/1877826.1877837.Google Scholar

Beedie, Christopher, Terry, Peter, and Lane, Andrew. Distinctions between emotion and mood. Cognition & Emotion, 19(6):847–878, 2005. doi: 10.1080/02699930541000057. URL https://doi.org/10.1080/02699930541000057.Google Scholar

Belpaeme, Tony, Baxter, Paul E., Read, Robin, Wood, Rachel, Cuayáhuitl, Heriberto, Kiefer, Bernd, Racioppa, Stefania, Kruijff-Korbayová, Ivana, Athana-sopoulos, Georgios, Enescu, Valentin, et al. Multimodal child-robot interaction: Building social bonds. Journal of Human-Robot Interaction, 1(2):33–53, 2012. doi: 10.5898/JHRI.1.2.Belpaeme. URL https://doi.org/10.5898/JHRI.1.2.Belpaeme.Google Scholar

Belpaeme, Tony, Kennedy, James, Baxter, Paul, Vogt, Paul, Krahmer, Emiel E. J., Kopp, Stefan, Bergmann, Kirsten, Leseman, Paul, Küntay, Aylin C., Göksun, Tilbe, et al. L2tor-second language tutoring using social robots. In Proceedings of the ICSR 2015 WONDER Workshop, 2015. URL https://pub.uni-bielefeld.de/download/2900267/2900268.Google Scholar

Bem, Sandra L.. The measurement of psychological androgyny. Journal of Consulting and Clinical Psychology, 42:155–162, 1974. doi: 10.1037/h0036215. URL https://doi.org/10.1037/h0036215.Google Scholar

Berghuis, Koen. Robot ‘preacher’ can beam light from its hands and give automated blessings to worshippers, 2017. URL https://www.mirror.co.uk/news/ weird-news/robot-priest-can-beam-light-10523678.Google Scholar

Bernotat, Jasmin, Schiffhauer, Birte, Eyssel, Friederike, Holthaus, Patrick, Leichsenring, Christian, Richter, Viktor, Pohling, Marian, Carlmeyer, Birte, Köster, Norman, Meyer zu Borgsen, Sebastian, et al. Welcome to the future: How naïve users intuitively address an intelligent robotics apartment. In International Conference on Social Robotics, pages 982–992. Springer, 2016. ISBN 978-3-319-47436-6. doi: 10.1007/978-3-319-47437-3 96. URL https://doi.org/10.1007/ 978-3-319-47437-3_96.CrossRefGoogle Scholar

Bethel, Cindy L. and Murphy, Robin R.. Survey of non-facial/non-verbal affective expressions for appearance-constrained robots. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 38(1):83–92, 2008. doi: 10.1109/TSMCC.2007.905845. URL https://doi.org/10.1109/TSMCC.2007.905845.Google Scholar

Bethel, Cindy L. and Murphy, Robin R.. Review of human studies methods in HRI and recommendations. International Journal of Social Robotics, 2(4):347– 359, 2010. doi: 10.1007/s12369-010-0064-9. URL https://doi.org/10.1007/ s12369–010-0064-9.Google Scholar

Bethel, Cindy L., Salomon, Kristen, Murphy, Robin R., and Burke, Jennifer L.. Survey of psychophysiology measurements applied to human-robot interaction. In The 16th IEEE International Symposium on Robot and Human Interactive Communication, pages 732–737. IEEE, 2007. ISBN 978-1-4244-1634-9. doi: 10.1109/ROMAN.2007.4415182. URL https://doi.org/10.1109/ROMAN.2007.4415182.Google Scholar

Blair, James R.. Responding to the emotions of others: Dissociating forms of empathy through the study of typical and psychiatric populations. Consciousness and Cognition, 14(4):698–718, 2005. doi: 10.1016/j.concog.2005.06.004. URL https://doi.org/10.1016/j.concog.2005.06.004.Google Scholar

Bloom, Benjamin S.. The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher, 13(6):4– 16, 1984. doi: 10.3102/0013189X013006004. URL https://doi.org/10.3102/0013189X013006004.Google Scholar

Bogue, Robert. Exoskeletons and robotic prosthetics: A review of recent developments. Industrial Robot: An International Journal, 36(5):421–427, 2009. doi: 10.1108/01439910910980141. URL https://doi.org/10.1108/01439910910980141.Google Scholar

Bonanno, George A., Goorin, Laura, and Coifman, Karin G.. Social functions of emotion. In Lewis, Michael, Haviland-Jones, Jeanette M., and Barrett, Lisa Feldman, editors, Handbook of emotions, volume 3, pages 456–468. Guilford Press, New York, NY, 2008. ISBN 978-1-59385-650-2. URL http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.472.7583&rep=rep1&type=pdf.Google Scholar

Borenstein, Jason and Arkin, Ronald C.. Robots, ethics, and intimacy: The need for scientific research. In Conference of the International Association for Computing and Philosophy, 2016. URL https://www.cc.gatech.edu/ai/robot-lab/ online-publications/RobotsEthicsIntimacy-IACAP.pdf.Google Scholar

Braitenberg, Valentino. Vehicles: Experiments in synthetic psychology. MIT Press, Cambridge, MA, 1986. ISBN 978-0262521123. URL http://www.worldcat.org/oclc/254155258.Google Scholar

Brandstetter, Jürgen, Rácz, Péter, Beckner, Clay, Sandoval, Eduardo B., Hay, Jennifer, and Bartneck, Christoph. A peer pressure experiment: Recreation of the Asch conformity experiment with robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1335–1340. IEEE, 2014. ISBN 978-1-4799-6934-0. doi: 10.1109/IROS.2014.6942730. URL https://doi.org/10.1109/IROS. 2014.6942730.Google Scholar

Brandstetter, Jurgen, Sandoval, Eduardo B., Beckner, Clay, and Bartneck, Christoph. Persistent lexical entrainment in HRI. In ACM/IEEE International Conference on Human-Robot Interaction, pages 63–72. ACM, 2017. ISBN 978-1-4503-4336-7. doi: 10.1145/2909824.3020257. URL https://doi.org/10.1145/2909824.3020257.Google Scholar

Breazeal, Cynthia. Designing sociable robots. MIT Press, Cambridge, MA, Cambridge, 2003. ISBN 978-0262524315. URL http://www.worldcat.org/oclc/758042496.Google Scholar

Breazeal, Cynthia. Function meets style: Insights from emotion theory applied to HRI. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 34(2):187–194, 2004a. doi: 10.1109/TSMCC.2004.826270. URL https://doi.org/10.1109/TSMCC.2004.826270.Google Scholar

Breazeal, Cynthia. Social interactions in HRI: The robot view. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 34(2): 181–186, 2004b. doi: 10.1109/TSMCC.2004.826268. URL https://doi.org/10.1109/TSMCC.2004.826268.Google Scholar

Breazeal, Cynthia and Scassellati, Brian. A context-dependent attention system for a social robot. In Proceedings of the 16th International Joint Conference on Artificial Intelligence, Volume 2, pages 1146–1151. Morgan Kaufmann Publishers Inc., 1999. URL http://dl.acm.org/citation.cfm?id=1624312.1624382.Google Scholar

Breazeal, Cynthia, Kidd, Cory D., Thomaz, Andrea Lockerd, Hoffman, Guy, and Berlin, Matt. Effects of nonverbal communication on efficiency and robustness in human-robot teamwork. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 708–713. IEEE, 2005. ISBN 0-7803-8912-3. doi: 10.1109/IROS.2005.1545011. URL https://doi.org/10.1109/IROS.2005.1545011.Google Scholar

Bremner, Paul, Pipe, Anthony, Melhuish, Chris, Fraser, Mike, and Subramanian, Sriram. Conversational gestures in human-robot interaction. In IEEE International Conference on Systems, Man and Cybernetics, pages 1645–1649. IEEE, 2009. ISBN 978-1-4244-2793-2. doi: 10.1109/ICSMC.2009.5346903. URL https://doi.org/10.1109/ICSMC.2009.5346903.Google Scholar

Broadbent, Elizabeth, Stafford, Rebecca, and MacDonald, Bruce. Acceptance of healthcare robots for the older population: Review and future directions. International Journal of Social Robotics, 1(4):319–330, 2009. doi: 10.1007/s12369–009-0030-6. URL https://doi.org/10.1007/s12369–009-0030-6.Google Scholar

Broekens, Joost, Heerink, Marcel, Rosendal, Henk, et al. Assistive social robots in elderly care: A review. Gerontechnology, 8(2):94–103, 2009. doi: 10.4017/gt.2009.08.02.002.00. URL https://doi.org/10.4017/gt.2009.08.02.002.00.Google Scholar

Brooks, Rodney. A robust layered control system for a mobile robot. IEEE Journal on Robotics and Automation, 2(1):14–23, 1986. doi: 10.1109/JRA.1986.1087032. URL https://doi.org/10.1109/JRA.1986.1087032.Google Scholar

Brooks, Rodney A.. Intelligence without representation. Artificial Intelligence, 47 (1-3):139–159, 1991. doi: 10.1016/0004-3702(91)90053-M. URL https://doi.org/10.1016/0004-3702(91)90053-M.Google Scholar

Brooks, Rodney Allen. Flesh and machines: How robots will change us. Vintage, New York, NY, 2003. ISBN 9780375725272. URL http://www.worldcat.org/oclc/249859485.Google Scholar

Brscić, Drazen, Kanda, Takayuki, Ikeda, Tetsushi, and Miyashita, Takahiro. Person tracking in large public spaces using 3-D range sensors. IEEE Transactions on Human-Machine Systems, 43(6):522–534, 2013. doi: 10.1109/THMS.2013.2283945. URL https://doi.org/10.1109/THMS.2013.2283945.Google Scholar

Brscić, Drazen, Kidokoro, Hiroyuki, Suehiro, Yoshitaka, and Kanda, Takayuki. Escaping from children’s abuse of social robots. In Proceedings of the 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, pages 59– 66. ACM, 2015. ISBN 978-1-4503-2883-8. doi: 10.1145/2696454.2696468. URL https://doi.org/10.1145/2696454.2696468.Google Scholar

Bruno, Barbara, Chong, Nak Young, Kamide, Hiroko, Kanoria, Sanjeev, Lee, Jaeryoung, Lim, Yuto, Pandey, Amit Kumar, Papadopoulos, Chris, Papadopoulos, Irena, Pecora, Federico, et al. The CARESSES EU-Japan project: Making assistive robots culturally competent. arXiv, page 1708.06276, 2017. URL https://arxiv.org/abs/1708.06276.Google Scholar

Buchanan, Richard. Wicked problems in design thinking. Design Issues, 8(2):5–21, 1992. URL https://www.jstor.org/stable/1511637.Google Scholar

Burgard, Wolfram, Cremers, Armin B., Fox, Dieter, Hähnel, Dirk, Lakemeyer, Gerhard, Schulz, Dirk, Steiner, Walter, and Thrun, Sebastian. The interactive museum tour-guide robot. In Proceedings of the 15th National/10th Conference on Artificial Intelligence/Innovative Applications of Artificial Intelligence, pages 11–18, 1998. ISBN 0-262-51098-7. URL https://dl.acm.org/citation.cfm?id=295249.Google Scholar

Cakmak, Maya, Srinivasa, Siddhartha S., Lee, Min Kyung, Forlizzi, Jodi, and Kiesler, Sara. Human preferences for robot-human hand-over configurations. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1986–1993. IEEE, 2011. ISBN 978-1-61284-454-1. doi: 10.1109/IROS.2011.6094735. URL https://doi.org/10.1109/IROS.2011.6094735.Google Scholar

Calvo, Rafael A., D’Mello, Sidney, Gratch, Jonathan, and Kappas, Arvid. The Oxford handbook of affective computing. Oxford Library of Psychology, Oxford, UK, 2015. ISBN 978-0199942237. URL http://www.worldcat.org/oclc/1008985555.Google Scholar

Cameron, James. The Terminator, 1984. URL https://www.imdb.com/title/ tt0088247/.Google Scholar

Campbell, Murray, Hoane, A. Joseph, and Hsu, Feng-hsiung. Deep blue. Artificial Intelligence, 134(1-2):57–83, 2002. doi: 10.1016/S0004-3702(01)00129-1. URL https://doi.org/10.1016/S0004–3702(01)00129-1.Google Scholar

Cao, Zhe, Simon, Tomas, Wei, Shih-En, and Sheikh, Yaser. Realtime multi-person 2d pose estimation using part affinity fields. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1302–1310, 2017. ISBN 9781538604571. doi: 10.1109/CVPR.2017.143. URL https://doi.org/10.1109/CVPR.2017.143.Google Scholar

Carpenter, Julie. Culture and human-robot interaction in militarized spaces: A war story. Routledge, New York, NY, 2016. ISBN 978-1-4724-4311-3. URL http://www.worldcat.org/oclc/951397181.Google Scholar

Carpinella, Colleen M., Wyman, Alisa B., Perez, Michael A., and Stroessner, Steven J.. The Robotic Social Attributes Scale (RoSAS): Development and validation. In ACM/IEEE International Conference on Human-Robot Interaction, pages 254– 262. ACM, 2017. ISBN 978-1-4503-4336-7. doi: 10.1145/2909824.3020208. URL https://doi.org/10.1145/2909824.3020208.Google Scholar

Carrere, Sybil and Gottman, John Mordechai. Predicting divorce among newlyweds from the first three minutes of a marital conflict discussion. Family Process, 38 (3):293–301, 1999. doi: 10.1111/j.1545-5300.1999.00293.x. URL https://doi.org/10.1111/j.1545-5300.1999.00293.x.Google Scholar

Cassell, J., Sullivan, Joseph, Prevost, Scott, and Churchill, Elizabeth. Embodied conversational agents. MIT Press, Cambridge, MA, 2000. ISBN 9780262032780. URL http://www.worldcat.org/oclc/440727862.Google Scholar

Cavallo, Filippo, Limosani, Raffaele, Manzi, Alessandro, Bonaccorsi, Manuele, Esposito, Raffaele, Di Rocco, Maurizio Federico Pecora, Giancarlo Teti, Alessandro Saffiotti, , and Dario, Paolo. Development of a socially believable multi-robot solution from town to home. Cognitive Computation, 6(4):954–967, 2014. doi: 10.1007/s12559–014-9290-z. URL https://doi.org/10.1007/s12559–014-9290-z.Google Scholar

Chang, Wan-Ling and Šabanović, Selma. Interaction expands function: Social shaping of the therapeutic robot PARO in a nursing home. In The 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, pages 343– 350. ACM, 2015. ISBN 978-1-4503-2883-8. doi: 10.1145/2696454.2696472. URL https://doi.org/10.1145/2696454.2696472.Google Scholar

Charman, Tony, Baron-Cohen, Simon, Swettenham, John, Baird, Gillian, Cox, Antony, and Drew, Auriol. Testing joint attention, imitation, and play as infancy precursors to language and Theory of Mind. Cognitive Development, 15(4):481–498, 2000. doi: 10.1016/S0885-2014(01)00037-5. URL https://doi.org/10.1016/ S0885–2014(01)00037-5.CrossRefGoogle Scholar

Chartrand, Tanya L. and Bargh, John A.. The chameleon effect: The perception-behavior link and social interaction. Journal of Personality and Social Psychology, 76(6):893–910, 1999. doi: 10.1037/0022-3514.76.6.893. URL https://doi.org/10.1037/0022-3514.76.6.893.Google Scholar

Chen, Tiffany L., Aaron King, Chih-Hung, Thomaz, Andrea L., and Kemp, Charles C.. An investigation of responses to robot-initiated touch in a nursing context. International Journal of Social Robotics, 6(1):141–161, 2014. doi: 10.1007/s12369–013-0215-x. URL https://doi.org/10.1007/s12369–013-0215-x.Google Scholar

Chikaraishi, Takenobu, Yoshikawa, Yuichiro, Ogawa, Kohei, Hirata, Oriza, and Ishiguro, Hiroshi. Creation and staging of android theatre “sayonara” towards developing highly human-like robots. Future Internet, 9(4):75–92, 2017. doi: 10.3390/fi9040075. URL https://doi.org/10.3390/fi9040075.Google Scholar

Choset, Howie M., Hutchinson, Seth, Lynch, Kevin M., Kantor, George, Burgard, Wolfram, Kavraki, Lydia E., and Thrun, Sebastian. Principles of robot motion: Theory, algorithms, and implementation. MIT Press, Cambridge, MA, 2005. ISBN 978026203327. URL http://www.worldcat.org/oclc/762070740.Google Scholar

Coe, Robert. It’s the effect size, stupid: What effect size is and why it is important. In Annual Conference of the British Educational Research Association. Education-line, 2002. URL http://www.leeds.ac.uk/educol/documents/00002182.htm.Google Scholar

Cohen, Jacob. Statistical power analysis for the behavioral sciences. Academic Press, New York, NY, 1977. ISBN 9781483276489. URL http://www.worldcat.org/oclc/898103044.Google Scholar

Cohen, Jacob. The earth is round (p ¡ .05). American Psychologist, 49:997–1003, 1994. doi: 10.1037/0003-066X.49.12.997. URL https://doi.org/10.1037/0003-066X.49.12.997.Google Scholar

Cook, Mark. Experiments on orientation and proxemics. Human Relations, 23(1):61– 76, 1970. doi: 10.1177/001872677002300107. URL https://doi.org/10.1177/001872677002300107.Google Scholar

Cooney, Martin, Kanda, Takayuki, Alissandarakis, Aris, and Ishiguro, Hiroshi. Designing enjoyable motion-based play interactions with a small humanoid robot. International Journal of Social Robotics, 6(2):173–193, 2014. doi: 10.1007/s12369–013-0212-0. URL https://doi.org/10.1007/s12369–013-0212-0.Google Scholar

Cribb, Jo and Glover, David. Don’t worry about the robots. Allen & Unwin, Auckland, New Zealand, 2018. ISBN 9781760633509. URL http://www.worldcat.org/oclc/1042120802.Google Scholar

Crisp, Richard J. and Turner, Rhiannon N.. Imagined intergroup contact: Refinements, debates, and clarifications. In Hodson, Gordon and Hewstone, Miles, editors, Advances in intergroup contact, chapter 6, pages 149–165. Psychology Press, 2013. ISBN 978-1136213908. URL http://www.worldcat.org/oclc/694393740.Google Scholar

Crusco, April H. and Wetzel, Christopher G.. The Midas touch: The effects of interpersonal touch on restaurant tipping. Personality and Social Psychology Bulletin, 10(4):512–517, 1984. doi: 10.1177/0146167284104003. URL https://doi.org/10.1177/0146167284104003.Google Scholar

Csikszentmihalyi, Mihaly and Csikszentmihalyi, Isabella Selega. Optimal experience: Psychological studies of flow in consciousness. Cambridge University Press, Cambridge, UK, 1988. ISBN 0521342880. URL http://www.worldcat.org/oclc/963712478.Google Scholar

Cuddy, Amy, Fiske, Susan, and Glick, Peter. Warmth and competence as universal dimensions of social perception: The stereotype content model and the bias map. Advances in Experimental Social Psychology, 40:61–149, 12 2008. doi: 10.1016/S0065–2601(07)00002-0. URL https://doi.org/10.1016/S0065–2601(07) 00002-0.Google Scholar

Geoff Cumming. Replication and p intervals: p values predict the future only vaguely, but confidence intervals do much better. Perspectives on Psychological Science, 3(4):286–300, 2008. doi: 10.1111/j.1745-6924.2008.00079.x. URL https://doi.org/10.1111/j.1745-6924.2008.00079.x.Google Scholar

Cumming, Geoff. The new statistics: Why and how. Psychological Science, 25(1): 7–29, 2014. doi: 10.1177/0956797613504966. URL http://journals.sagepub.com/doi/10.1177/0956797613504966.Google Scholar

Darling, Kate. Extending legal protection to social robots: The effects of anthropomorphism, empathy, and violent behavior towards robotic objects. In We Robot Conference. SSRN, 2012. doi: 10.2139/ssrn.2044797. URL https://doi.org/10.2139/ssrn.2044797.Google Scholar

Dautenhahn, K., Walters, M., Woods, S., Koay, K. L., Nehaniv, C. L., Sisbot, A., Alami, R., and Siméon, T.. How may I serve you? A robot companion approaching a seated person in a helping context. In Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, HRI’06, pages 172– 179, New York, NY, 2006a. ACM. ISBN 1-59593-294-1. doi: 10.1145/1121241.1121272. URL http://doi.acm.org/10.1145/1121241.1121272.Google Scholar

Dautenhahn, Kerstin, Walters, Michael, Woods, Sarah, Koay, Kheng Lee, Nehaniv, Chrystopher L., Sisbot, A., Alami, Rachid, and Siméon, Thierry. How may I serve you? A robot companion approaching a seated person in a helping context. In 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, pages 172–179. ACM, 2006b. ISBN 1-59593-294-1. doi: 10.1145/1121241.1121272. URL https://doi.org/10.1145/1121241.1121272.Google Scholar

Davison, Andrew J., Reid, Ian D., Molton, Nicholas D., and Stasse, Olivier. Monoslam: Real-time single camera slam. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(6):1052–1067, 2007. doi: 10.1109/TPAMI.2007.1049. URL http://doi.org/10.1109/TPAMI.2007.1049.Google Scholar

Angeli, Antonella De. Ethical implications of verbal disinhibition with conversational agents. PsychNology Journal, 7(1), 2009. URL http://psychnology.org/File/PNJ7(1)/PSYCHNOLOGY_JOURNAL_7_1_DEANGELI.pdf.Google Scholar

Graaf, Maartje de, Allouch, Somaya Ben, and Dijk, Jan van. Why do they refuse to use my robot? Reasons for non-use derived from a long-term home study. In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pages 224–233. ACM, 2017. ISBN 978-1-4503-4336-7. doi: 10.1145/2909824.3020236. URL https://doi.org/10.1145/2909824.3020236.Google Scholar

Waal, Frans De. The ape and the sushi master: Cultural reflections of a primatologist. Basic Books, New York, NY, 2001. ISBN 978-0465041763. URL http://www.worldcat.org/oclc/458716823.Google Scholar

Dick, Philip K.. Do androids dream of electric sheep? Boom! Studios, a division of Boom Entertainment, Los Angeles, CA, 1986. ISBN 978-160886784. URL http://www.worldcat.org/oclc/929049302.Google Scholar

Dick, Philip K.. Blade runner: Do androids dream of electric sheep? Ballantine Books, New York, NY, 25th anniversary edition, 2007. ISBN 9780345350473. URL http://www.worldcat.org/oclc/776604212.Google Scholar

Diehl, Joshua J., Schmitt, Lauren M., Villano, Michael, and Crowell, Charles R.. The clinical use of robots for individuals with autism spectrum disorders: A critical review. Research in Autism Spectrum Disorders, 6(1):249–262, 2012. doi: 10.1016/j.rasd.2011.05.006. URL https://doi.org/10.1016/j.rasd.2011.05.006.Google Scholar

DiSalvo, Carl, Nourbakhsh, Illah, Holstius, David, Akin, Ayça, and Louw, Marti. The neighborhood networks project: A case study of critical engagement and creative expression through participatory design. In 10th Anniversary Conference on Participatory Design 2008, pages 41–50. Indiana University, 2008. ISBN 978-0-9818561-0-0. URL https://dl.acm.org/citation.cfm?id=1795241.Google Scholar

DiSalvo, Carl F., Gemperle, Francine, Forlizzi, Jodi, and Kiesler, Sara. All robots are not created equal: The design and perception of humanoid robot heads. In Proceedings of the 4th Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, DIS’02, pages 321–326, New York, NY, 2002. ACM. ISBN 1-58113-515-7. doi: 10.1145/778712.778756. URL http://doi.acm.org/10.1145/778712.778756.Google Scholar

Dixon, Steve. Metal performance humanizing robots, returning to nature, and camping about. TDR/The Drama Review, 48(4):15–46, 2004. ISSN 1054-2043. doi: 10.1162/1054204042442017. URL http://dx.doi.org/10.1162/1054204042442017.Google Scholar

Doan, Anhai, Ramakrishnan, Raghu, and Halevy, Alon Y.. Crowdsourcing systems on the world-wide web. Communications of the ACM, 54(4):86–96, 2011. doi: 10.1145/1924421.1924442. URL https://doi.org/10.1145/1924421.1924442.Google Scholar

Dragan, Anca D., Lee, Kenton C. T., and Srinivasa, Siddhartha S.. Legibility and predictability of robot motion. In 8th ACM/IEEE International Conference on Human-Robot Interaction, pages 301–308. IEEE, 2013. ISBN 978-1-4673-3099-2. doi: 10.1109/HRI.2013.6483603. URL https://doi.org/10.1109/HRI.2013.6483603.Google Scholar

Duffy, Brian R.. Anthropomorphism and the social robot. Robotics and Autonomous Systems, 42(3):177–190, 2003. ISSN 0921-8890. doi: 10.1016/S0921-8890(02) 00374-3. URL https://doi.org/10.1016/S0921–8890(02)00374-3.Google Scholar

Edwards, Autumn, Edwards, Chad, Spence, Patric R., Harris, Christina, and Gambino, Andrew. Robots in the classroom: Differences in students’ perceptions of credibility and learning between “teacher as robot” and “robot as teacher”. Computers in Human Behavior, 65:627–634, 2016. doi: 10.1016/j.chb.2016.06.005. URL https://doi.org/10.1016/j.chb.2016.06.005.Google Scholar

Eisenberger, Naomi I., Lieberman, Matthew D., and Williams, Kipling D.. Does rejection hurt? An fMRI study of social exclusion. Science, 302(5643):290–292, 2003. doi: 10.1126/science.1089134. URL https://doi.org/10.1126/science. 1089134.Google Scholar

Ekkekakis, Panteleimon. The measurement of affect, mood, and emotion: A guide for health-behavioral research. Cambridge University Press, Cambridge, UK, 2013. doi: 10.1017/CBO9780511820724. URL https://doi.org/10.1017/CBO9780511820724.Google Scholar

Ekman, Paul. Facial expressions of emotion: New findings, new questions. Psychological Science, 3(1):34–38, 1992. doi: 10.1111/j.1467-9280.1992.tb00253.x. URL https://doi.org/10.1111/j.1467-9280.1992.tb00253.x.Google Scholar

Ekman, Paul. Basic emotions. In Dalgleich, T. and Power, M., editors, Handbook of cognition and emotion, pages 45–60. Wiley Online Library, 1999. ISBN 9781462509997. URL http://www.worldcat.org/oclc/826592694.Google Scholar

Ekman, Paul and Friesen, Wallace. Facial action coding system: A technique for the measurement of facial movement. Palo Alto: Consulting Psychologists, 1978.Google Scholar

Ekman, Paul and Friesen, Wallace V.. Unmasking the face. Prentice Hall, Englewood Cliffs, NJ, 1975. ISBN 978-1883536367. URL http://www.worldcat.org/oclc/803874427.Google Scholar

El Ayadi, Moataz, Kamel, Mohamed S., and Karray, Fakhri. Survey on speech emotion recognition: Features, classification schemes, and databases. Pattern Recognition, 44(3):572–587, 2011. doi: 10.1016/j.patcog.2010.09.020. URL https://doi.org/ 10.1016/j.patcog.2010.09.020.Google Scholar

Makrini, Ilias El, Elprama, Shirley A., Bergh, Jan Van den, Vanderborght, Bram, Knevels, Albert-Jan, Jewell, Charlotte I. C., Stals, Frank, Coppel, Geert De, Ravyse, Ilse, Potargent, Johan, et al. Working with Walt. IEEE Robotics & Automation Magazine, 25:51–58, 2018. doi: 10.1109/MRA.2018.2815947. URL https://doi.org/10.1109/MRA.2018.2815947.Google Scholar

Elder, Alexis M.. Friendship, robots, and social media: False friends and second selves. Routledge, New York, NY, 2017. ISBN 978-1138065666. URL http://www.worldcat.org/oclc/1016009820.Google Scholar

Epley, Nicholas, Waytz, Adam, and Cacioppo, John T.. On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114(4):864–886, 2007. doi: 10.1037/0033-295X.114.4.864. URL https://doi.org/10.1037/0033-295X.114.4.864.Google Scholar

Epley, Nicholas, Waytz, Adam, Akalis, Scott, and Cacioppo, John T.. When we need a human: Motivational determinants of anthropomorphism. Social Cognition, 26 (2):143–155, 2008. doi: 10.1521/soco.2008.26.2.143. URL https://doi.org/10.1521/soco.2008.26.2.143.Google Scholar

European Commission. Public attitudes towards robots: A report. Technical Report Special Eurobarometer 382 / Wave EB77.1, Directorate-General for Information Society and Media, 2012. URL http://ec.europa.eu/commfrontoffice/publicopinion/archives/ebs/ebs_382_en.pdf.Google Scholar

Evers, Vanessa, Maldonado, Heidy C., Brodecki, Talia L., and Hinds, Pamela J.. Relational vs. group self-construal: Untangling the role of national culture in HRI. In Proceedings of the 3rd ACM/IEEE International Conference on Human-Robot Interaction, HRI’08, pages 255–262, New York, NY, 2008. ACM. ISBN 978-1-60558-017-3. doi: 10.1145/1349822.1349856. URL http://doi.acm.org/10.1145/1349822.1349856.Google Scholar

Eyben, Florian, Weninger, Felix, Gross, Florian, and Schuller, Björn. Recent developments in OpenSMILE, the Munich open-source multimedia feature extractor. In 21st ACM International Conference on Multimedia, pages 835–838. ACM, 2013. ISBN 978-1-4503-2404-5. doi: 10.1145/2502081.2502224. URL https://doi.org/10.1145/2502081.2502224.Google Scholar

Eyssel, F. and Reich, N.. Loneliness makes the heart grow fonder (of robots)—on the effects of loneliness on psychological anthropomorphism. In Proceedings of the 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pages 121–122, 2013. ISBN 978-1-4673-3101-2. doi: 10.1109/HRI.2013.6483531. URL https://doi.org/10.1109/HRI.2013.6483531.Google Scholar

Eyssel, Friederike. An experimental psychological perspective on social robotics. Robotics and Autonomous Systems, 87(Supplement C):363–371, 2017. ISSN 0921-8890. doi: https://doi.org/10.1016/j.robot.2016.08.029. URL http://www.sciencedirect.com/science/article/pii/S0921889016305462.Google Scholar

Eyssel, Friederike and Hegel, Frank. (S)he’s got the look: Gender-stereotyping of social robots. Journal of Applied Social Psychology, 42:2213–2230, 2012. doi: 10.1111/j.1559-1816.2012.00937.x. URL https://doi.org/10.1111/j.1559-1816.2012.00937.x.Google Scholar

Eyssel, Friederike, Kuchenbrandt, Dieta, Bobinger, Simon, de Ruiter, Laura, and Hegel, Frank. “If you sound like me, you must be more human”: On the interplay of robot and user features on human-robot acceptance and anthropomorphism. In Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI’12, pages 125–126, New York, NY, 2012a. ACM. ISBN 978-1-4503-1063-5. doi: 10.1145/2157689.2157717. URL http://doi.acm.org/10.1145/2157689.2157717.Google Scholar

Eyssel, Friederike, Kuchenbrandt, Dieta, Hegel, Frank, and Ruiter, Laura de. Activating elicited agent knowledge: How robot and user features shape the perception of social robots. In Robot and human interactive communication (ROMAN), pages 851–857. IEEE, 2012b. doi: 10.1109/ROMAN.2012.6343858. URL https://doi.org/10.1109/ROMAN.2012.6343858.Google Scholar

Faul, Franz, Erdfelder, Edgar, Lang, Albert-Georg, and Axel, Buchner. G*power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39:175–191, 2007. doi: 10.3758/BF03193146. URL https://doi.org/10.3758/BF03193146.Google Scholar

Feil-Seifer, David and Matarić, Maja J.. Socially assistive robotics. IEEE Robotics & Automation Magazine, 18(1):24–31, 2011. doi: 10.1109/MRA.2010.940150. URL https://10.1109/MRA.2010.940150.Google Scholar

Feng, Catherine, Azenkot, Shiri, and Cakmak, Maya. Designing a robot guide for blind people in indoor environments. In The 10th Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts, pages 107– 108. ACM, 2015. ISBN 978-1-4503-3318-4. doi: 10.1145/2701973.2702060. URL https://doi.org/10.1145/2701973.2702060.Google Scholar

Ferrari, Francesco, Paladino, Maria Paola, and Jetten, Jolanda. Blurring human-machine distinctions: Anthropomorphic appearance in social robots as a threat to human distinctiveness. International Journal of Social Robotics, 8(2):287– 302, 2016. doi: 10.1007/s12369-016-0338-y. URL https://doi.org/10.1007/ s12369–016-0338-y.Google Scholar

Field, Andy. Discovering statistics using IBM SPSS statistics. Sage, Thousand Oaks, CA, 2018. ISBN 9781526419514. URL http://www.worldcat.org/oclc/ 1030545826.Google Scholar

Field, Andy and Hole, Graham. How to design and report experiments. Sage, Thousand Oaks, CA, 2002. ISBN 978085702829. URL http://www.worldcat.org/ title/how-to-design-and-report-experiments/oclc/961100072.Google Scholar

Fink, Julia. Anthropomorphism and human likeness in the design of robots and human-robot interaction. In Sam Ge, Shuzhi, Khatib, Oussama, Cabibihan, John-John, Simmons, Reid, and Williams, Mary-Anne, editors, Social robotics, pages 199– 208, Berlin, Heidelberg, 2012. Springer. ISBN 978-3-642-34103-8. doi: 10.1007/978-3-642-34103-820. URL https://doi.org/10.1007/978-3-642-34103-8_20.Google Scholar

Fink, Julia, Bauwens, Valérie, Kaplan, Frédéric, and Dillenbourg, Pierre. Living with a vacuum cleaning robot. International Journal of Social Robotics, 5(3):389– 408, Aug 2013. ISSN 1875-4805. doi: 10.1007/s12369-013-0190-2. URL https://doi.org/10.1007/s12369–013-0190-2.Google Scholar

Fink, Julia, Lemaignan, Séverin, Dillenbourg, Pierre, Rétornaz, Philippe, Vaussard, Florian, Berthoud, Alain, Mondada, Francesco, Wille, Florian, and Franinović, Karmen. Which robot behavior can motivate children to tidy up their toys? Design and evaluation of ranger. In ACM/IEEE International Conference on Human-Robot Interaction, pages 439–446. ACM, 2014. ISBN 978-1-4503-2658-2. doi: 10.1145/2559636.2559659. URL https://doi.org/10.1145/2559636.2559659.Google Scholar

Fisac, Jaime, Bajcsy, Andrea, Herbert, Sylvia, Fridovich-Keil, David, Wang, Steven, Tomlin, Claire, and Dragan, Anca. Probabilistically safe robot planning with confidence-based human predictions. In Proceedings of Robotics: Science and Systems, Pittsburgh, Pennsylvania, June 2018. ISBN 978-0-9923747-4-7. doi: 10.15607/RSS.2018.XIV.069. URL https://doi.org/10.15607/RSS.2018.XIV.069.Google Scholar

Fischer, Kerstin, Lohan, Katrin, Saunders, Joe, Nehaniv, Chrystopher, Wrede, Britta, and Rohlfing, Katharina. The impact of the contingency of robot feedback on HRI. In International Conference on Collaboration Technologies and Systems, pages 210–217. IEEE, 2013. ISBN 978-1-4673-6403-4. doi: 10.1109/CTS.2013.6567231. URL https://doi.org/10.1109/CTS.2013.6567231.Google Scholar

Ford, Martin. The rise of the robots: Technology and the threat of mass unemployment. Oneworld Publications, London, UK, 2015. ISBN 978-0465059997. URL http://www.worldcat.org/oclc/993846206.Google Scholar

Forlizzi, Jodi and DiSalvo, Carl. Service robots in the domestic environment: A study of the Roomba vacuum in the home. In Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, HRI’06, pages 258– 265, New York, NY, 2006. ACM. ISBN 1-59593-294-1. doi: 10.1145/1121241.1121286. URL http://doi.acm.org/10.1145/1121241.1121286.Google Scholar

Fowler, Floyd J.. Improving survey questions: Design and evaluation, volume 38. Sage, Thousand Oaks, CA, 1995. ISBN 978-0803945838. URL http://www.worldcat.org/oclc/551387270.Google Scholar

Fowler, Floyd J. Jr. Survey research methods. Sage, Thousand Oaks, CA, 2013. ISBN 978-1452259000. URL http://www.worldcat.org/oclc/935314651.Google Scholar

Fox, Dieter, Burgard, Wolfram, and Thrun, Sebastian. The dynamic window approach to collision avoidance. IEEE Robotics & Automation Magazine, 4(1):23–33, 1997. doi: 10.1109/100.580977. URL https://doi.org/10.1109/100.580977.Google Scholar

Fujita, Masahiro. Aibo: Toward the era of digital creatures. International Journal of Robotics Research, 20(10):781–794, 2001. doi: 10.1177/02783640122068092. URL https://doi.org/10.1177/02783640122068092.Google Scholar

Future of Life Institute. An open letter—research priorities for robust and beneficial artificial intelligence, January 2015. URL https://futureoflife.org/ ai-open-letter/.Google Scholar

Garreau, Joel. Bots on the ground. Washington Post, 2007. URL http://www.washingtonpost.com/wp-dyn/content/article/2007/05/05/AR2007050501009.html.Google Scholar

Gazzaley, Adam and Rosen, Larry D.. The distracted mind: Ancient brains in a high-tech world. MIT Press, Cambridge, MA, 2016. ISBN 978-0262534437. URL http://www.worldcat.org/oclc/978487215.Google Scholar

Gendolla, Guido H. E.. On the impact of mood on behavior: An integrative theory and a review. Review of General Psychology, 4(4):378–408, 2000. doi: 10.1037/ 1089-2680.4.4.378. URL https://doi.org/10.1037/1089-2680.4.4.378.Google Scholar

Genschow, Oliver, Bossche, Sofie van Den, Cracco, Emiel, Bardi, Lara, Rigoni, Davide, and Brass, Marcel. Mimicry and automatic imitation are not correlated. PloS One, 12(9):e0183784, 2017. doi: 10.1371/journal.pone.0183784. URL https://doi.org/10.1371/journal.pone.0183784.Google Scholar

Geraci, Robert M.. Spiritual robots: Religion and our scientific view of the natural world. Theology and Science, 4(3):229–246, 2006. doi: 10.1080/14746700600952993. URL https://doi.org/10.1080/14746700600952993.Google Scholar

Gibson, James J.. The ecological approach to visual perception: Classic edition. Psychology Press, London, UK, 2014. ISBN 978-1848725782. URL http://www.worldcat.org/oclc/896794768.Google Scholar

Gockley, Rachel, Bruce, Allison, Forlizzi, Jodi, Michalowski, Marek, Mundell, Anne, Rosenthal, Stephanie, Sellner, Brennan, Simmons, Reid, Snipes, Kevin, Schultz, Alan C., et al. Designing robots for long-term social interaction. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1338–1343. IEEE, 2005. ISBN 0-7803-8912-3. doi: 10.1109/IROS.2005.1545303. URL https://doi.org/10.1109/IROS.2005.1545303.Google Scholar

Gockley, Rachel, Forlizzi, Jodi, and Simmons, Reid. Interactions with a moody robot. In Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, pages 186–193. ACM, 2006. ISBN 1-59593-294-1. doi: 10.1145/1121241.1121274. URL https://doi.org/10.1145/1121241.1121274.Google Scholar

Gockley, Rachel, Forlizzi, Jodi, and Simmons, Reid. Natural person-following behavior for social robots. In ACM/IEEE International Conference on Human-Robot Interaction, pages 17–24. ACM, 2007. ISBN 978-1-59593-617-2. doi: 10.1145/1228716.1228720. URL https://doi.org/10.1145/1228716.1228720.Google Scholar

Goldacre, Ben. Bad science. Fourth Estate, London, UK, 2008. ISBN 9780007240197. URL http://www.worldcat.org/oclc/760098401.Google Scholar

Goodman, Joseph K., Cryder, Cynthia E., and Cheema, Amar. Data collection in a flat world: The strengths and weaknesses of mechanical turk samples. Journal of Behavioral Decision Making, 26(3):213–224, 2013. doi: 10.1002/bdm.1753. URL https://doi.org/10.1002/bdm.1753.Google Scholar

Graether, Eberhard and Mueller, Florian. Joggobot: A flying robot as jogging companion. In CHI’12 Extended Abstracts on Human Factors in Computing Systems, pages 1063–1066, New York, NY, 2012. ACM. ISBN 978-1-4503-1016-1. doi: 10.1145/2212776.2212386. URL https://doi.org/10.1145/2212776.2212386.Google Scholar

Gray, Heather M., Gray, Kurt, and Wegner, Daniel M.. Dimensions of mind perception. Science, 315(5812):619–619, 2007. ISSN 0036-8075. doi: 10.1126/science.1134475. URL http://science.sciencemag.org/content/315/5812/619.Google Scholar

Greenberg, Leslie S.. Application of emotion in psychotherapy. In Lewis, Michael, Haviland-Jones, Jeanette M., and Barrett, Lisa Feldman, editors, Handbook of emotions, volume 3, pages 88–101. Guilford Press, New York, NY, 2008. ISBN 978-1-59385-650-2. URL http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.472.7583&rep=rep1&type=pdf.Google Scholar

Gross, H.-M., Boehme, H., Schroeter, Ch, Müller, Steffen, König, Alexander, Einhorn, Erik, Martin, Ch, Merten, Matthias, and Bley, Andreas. Toomas: Interactive shopping guide robots in everyday use-final implementation and experiences from long-term field trials. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2005–2012. IEEE, 2009. ISBN 978-1-4244-3803-7. doi: 10.1109/IROS.2009.5354497. URL https://doi.org/10.1109/IROS.2009.5354497.Google Scholar

Gross, James J.. Emotion regulation: Conceptual foundations. In Gross, James J., editor, Handbook of emotion regulation, chapter 1, pages 3–22. Guilford Press, 2007. ISBN 978-1462520732. URL http://www.worldcat.org/oclc/1027033463.Google Scholar

Gunes, Hatice, Schuller, Björn, Pantic, Maja, and Cowie, Roddy. Emotion representation, analysis and synthesis in continuous space: A survey. In IEEE International Conference on Automatic Face & Gesture Recognition and Workshops, pages 827– 834. IEEE, 2011. ISBN 978-1-4244-9140-7. doi: 10.1109/FG.2011.5771357. URL https://doi.org/10.1109/FG.2011.5771357.Google Scholar

Haegele, Martin. World robotics service robots. IFR Statistical Department, Chicago, IL, 2016. ISBN 9783816306948. URL http://www.worldcat.org/oclc/ 979905174.Google Scholar

Hall, Edward T., Birdwhistell, Ray L., Bock, Bernhard, Bohannan, Paul, Diebold, A. Richard Jr., Durbin, Marshall, Edmonson, Munro S., Fischer, J. L., Hymes, Dell, Kimball, Solon T., et al. Proxemics [and comments and replies]. Current Anthropology, 9(2/3):83–108, 1968. doi: 10.1086/200975. URL https://doi.org/10.1086/200975.Google Scholar

Han, Kun, Yu, Dong, and Tashev, Ivan. Speech emotion recognition using deep neural network and extreme learning machine. In 15th Annual Conference of the International Speech Communication Association, pages 223– 227, 2014. URL https://www.isca-speech.org/archive/archive_papers/interspeech_2014/i14_0223.pdf.Google Scholar

Hashimoto, Takuya, Verner, Igor M., and Kobayashi, Hiroshi. Human-like robot as teacher’s representative in a science lesson: An elementary school experiment. In J. H. Kim, Matson E., and Xu P. Myung H., editors, Robot intelligence technology and applications, volume 208 of Advances in Intelligent Systems and Computing, pages 775–786. Springer, 2013. doi: 10.1007/978-3-642-37374-974. URL https://doi.org/10.1007/978-3-642-37374-9_74.Google Scholar

Haslam, Nick. Dehumanization: An integrative review. Personality and Social Psychology Review, 10(3):252–264, 2006. doi: 10.1207/s15327957pspr10034. URL https://doi.org/10.1207/s15327957pspr1003_4.Google Scholar

Hayashi, Kotaro, Shiomi, Masahiro, Kanda, Takayuki, Hagita, Norihiro, and Robotics, AI. Friendly patrolling: A model of natural encounters. In Hugh Durrant-Whyte, Nicholas Roy, and Pieter Abbeel, editors, Robotics: Science and systems, Volume II, pages 121–129. MIT Press, Cambridge, MA, 2012. ISBN 978-0-262-51779-9. URL http://www.worldcat.org/oclc/858018257.Google Scholar

Heider, Fritz and Simmel, Marianne. An experimental study of apparent behavior. American Journal of Psychology, 57(2):243–259, 1944. doi: 10.2307/1416950. URL https://doi.org/10.2307/1416950.Google Scholar

Heldner, Mattias and Edlund, Jens. Pauses, gaps and overlaps in conversations. Journal of Phonetics, 38(4):555–568, 2010. doi: 10.1016/j.wocn.2010.08.002. URL https://doi.org/10.1016/j.wocn.2010.08.002.Google Scholar

Hjortsjö, Carl-Herman. Man’s face and mimic language. Studen litteratur, Sweden, 1969. URL http://www.worldcat.org/oclc/974134474.Google Scholar

Ho, Chin-Chang and MacDorman, Karl F.. Revisiting the Uncanny Valley theory: Developing and validating an alternative to the Godspeed indices. Computers in Human Behavior, 26(6):1508–1518, 2010. doi: 10.1016/j.chb.2010.05.015. URL https://doi.org/10.1016/j.chb.2010.05.015.Google Scholar

Hoffman, Guy. robots, Dumb, smart phones: A case study of music listening companionship. In The 21st IEEE International Symposium on Robot and Human Interactive Communication, pages 358–363. IEEE, 2012. ISBN 978-1-4673-4604-7. doi: 10.1109/ROMAN.2012.6343779. URL https://doi.org/10.1109/ROMAN.2012.6343779.Google Scholar

Hoffman, Guy and Breazeal, Cynthia. Effects of anticipatory action on human-robot teamwork efficiency, fluency, and perception of team. In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pages 1– 8. ACM, 2007. ISBN 978-1-59593-617-2. doi: 10.1145/1228716.1228718. URL https://doi.org/10.1145/1228716.1228718.Google Scholar

Hoffman, Guy and Vanunu, Keinan. Effects of robotic companionship on music enjoyment and agent perception. In 8th ACM/IEEE International Conference on Human-Robot Interaction, pages 317–324. IEEE, 2013. ISBN 978-1-4673-3099-2. doi: 10.1109/HRI.2013.6483605. URL https://doi.org/10.1109/HRI.2013. 6483605.Google Scholar

Hoffman, Guy and Weinberg, Gil. Shimon: An interactive improvisational robotic marimba player. In CHI’10 Extended Abstracts on Human Factors in Computing Systems, pages 3097–3102. ACM, 2010. ISBN 978-1-60558-930-5. doi: 10.1145/1753846.1753925. URL https://doi.org/10.1145/1753846.1753925.Google Scholar

Holm, Olle. Analyses of longing: Origins, levels, and dimensions. Journal of Psychology, 133(6):621–630, 1999. doi: 10.1080/00223989909599768. URL https://doi.org/10.1080/00223989909599768.Google Scholar

Hood, Deanna, Lemaignan, Séverin, and Dillenbourg, Pierre. When children teach a robot to write: An autonomous teachable humanoid which uses simulated handwriting. In 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, pages 83–90. ACM, 2015. ISBN 978-1-4503-2883-8. doi: 10.1145/2696454.2696479. URL https://doi.org/10.1145/2696454.2696479.Google Scholar

Hunt, Andrew J. and Black, Alan W.. Unit selection in a concatenative speech synthesis system using a large speech database. In IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 1, pages 373–376. IEEE, 1996. ISBN 0-7803-3192-3. doi: 10.1109/ICASSP.1996.541110. URL https://doi.org/10.1109/ICASSP.1996.541110.Google Scholar

Hüttenrauch, Helge, Eklundh, Kerstin Severinson, Green, Anders, and Topp, Elin A.. Investigating spatial relationships in human-robot interaction. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 5052–5059. IEEE, 2006. ISBN 1-4244-0258-1. doi: 10.1109/IROS.2006.282535. URL https://doi.org/10.1109/IROS.2006.282535.Google Scholar

Imai, Michita, Ono, Tetsuo, and Ishiguro, Hiroshi. Physical relation and expression: Joint attention for human-robot interaction. IEEE Transactions on Industrial Electronics, 50(4):636–643, 2003. doi: 10.1109/TIE.2003.814769. URL https://doi.org/10.1109/TIE.2003.814769.Google Scholar

Irfan, Bahar, Kennedy, James, Lemaignan, Séverin, Papadopoulos, Fotios, Senft, Emmanuel, and Belpaeme, Tony. Social psychology and human-robot interaction: An uneasy marriage. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, HRI’18, pages 13–20, New York, NY, 2018. ACM. ISBN 978-1-4503-5615-2. doi: 10.1145/3173386.3173389. URL http://doi.acm.org/10.1145/3173386.3173389.Google Scholar

Ishi, Carlos T., Liu, Chaoran, Ishiguro, Hiroshi, and Hagita, Norihiro. Speech-driven lip motion generation for tele-operated humanoid robots. In Auditory-visual speech processing, pages 131–135, 2011. URL https://www.isca-speech.org/archive/avsp11/papers/av11_131.pdf.Google Scholar

Ishiguro, Hiroshi. Android science. In Thrun S., Brooks R., and Durrant-Whyte H., editors, Robotics research, pages 118–127. Springer, 2007. ISBN 978-3-540-48110-2. doi: 10.1007/978-3-540-48113-311. URL https://doi.org/10.1007/ 978-3-540-48113-3_11.Google Scholar

John, Oliver P., Srivastava, Sanjay, et al. The Big Five trait taxonomy: History, measurement, and theoretical perspectives. Handbook of personality: Theory and research, 2(1999):102–138, 1999.Google Scholar

Jonze, Spike. Her, 2013. URL https://www.imdb.com/title/tt1798709/?ref_=fn_al_tt_1.Google Scholar

Joormann, Jutta and Gotlib, Ian H.. Emotion regulation in depression: Relation to cognitive inhibition. Cognition and Emotion, 24(2):281–298, 2010. doi: 10.1080/02699930903407948. URL https://doi.org/10.1080/02699930903407948.Google Scholar

Jung, Malte and Hinds, Pamela. Robots in the wild: A time for more robust theories of human-robot interaction. ACM Transactions on Human-Robot Interaction (THRI), 7(1):2, 2018. doi: 10.1145/3208975. URL https://doi.org/10.1145/3208975.Google Scholar

Kahn, Peter H., Freier, Nathan G., Kanda, Takayuki, Ishiguro, Hiroshi, Ruckert, Jolina H., Severson, Rachel L., and Kane, Shaun K.. Design patterns for sociality in human-robot interaction. In The 3rd ACM/IEEE International Conference on Human-Robot Interaction, pages 97–104. ACM, 2008. ISBN 978-1-60558-017-3. doi: 10.1145/1349822.1349836. URL https://doi.org/10.1145/1349822.1349836.Google Scholar

Kahn, Peter H. Jr., Kanda, Takayuki, Ishiguro, Hiroshi, Gill, Brian T., Ruckert, Jolina H., Shen, Solace, Gary, Heather E., Reichert, Aimee L., Freier, Nathan G., and Severson, Rachel L.. Do people hold a humanoid robot morally accountable for the harm it causes? In Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction, pages 33–40. ACM, 2012. ISBN 978-1-4503-1063-5. doi: 10.1145/2157689.2157696. URL https://doi.org/10.1145/2157689.2157696.Google Scholar

Kahn, Peter H. Jr., Kanda, Takayuki, Ishiguro, Hiroshi, Shen, Solace, Gary, Heather E., and Ruckert, Jolina H.. Creative collaboration with a social robot. In ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 99–103. ACM, 2014. ISBN 978-1-4503-2968-2. doi: 10.1145/2632048.2632058. URL https://doi.org/10.1145/2632048.2632058.Google Scholar

Kanda, Takayuki, Hirano, Takayuki, Eaton, Daniel, and Ishiguro, Hiroshi. Interactive robots as social partners and peer tutors for children: A field trial. Human-Computer Interaction, 19(1):61–84, 2004. doi: 10.1080/07370024.2004.9667340. URL https://doi.org/10.1080/07370024.2004.9667340.Google Scholar

Kanda, Takayuki, Kamasima, Masayuki, Imai, Michita, Ono, Tetsuo, Sakamoto, Daisuke, Ishiguro, Hiroshi, and Anzai, Yuichiro. A humanoid robot that pretends to listen to route guidance from a human. Autonomous Robots, 22(1):87–100, 2007a. doi: 10.1007/s10514-006-9007-6. URL https://doi.org/10.1007/ s10514–006-9007-6.Google Scholar

Kanda, Takayuki, Sato, Rumi, Saiwaki, Naoki, and Ishiguro, Hiroshi. A two-month field trial in an elementary school for long-term human-robot interaction. IEEE Transactions on Robotics, 23(5):962–971, 2007b. doi: 10.1109/TRO.2007.904904. URL https://doi.org/10.1109/TRO.2007.904904.Google Scholar

Kanda, Takayuki, Shiomi, Masahiro, Miyashita, Zenta, Ishiguro, Hiroshi, and Hagita, Norihiro. A communication robot in a shopping mall. IEEE Transactions on Robotics, 26(5):897–913, 2010. doi: 10.1109/TRO.2010.2062550. URL https://doi.org/10.1109/TRO.2010.2062550.Google Scholar

Kang, Kyong Il, Freedman, Sanford, Mataric, Maja J., Cunningham, Mark J., and Lopez, Becky. A hands-off physical therapy assistance robot for cardiac patients. In 9th International Conference on Rehabilitation Robotics (ICORR), pages 337– 340. IEEE, 2005. ISBN 0-7803-9003-2. doi: 10.1109/ICORR.2005.1501114. URL https://doi.org/10.1109/ICORR.2005.1501114.Google Scholar

Kaplan, Frederic. Who is afraid of the humanoid? Investigating cultural differences in the acceptance of robots. International Journal of Humanoid Robotics, 1(3): 1–16, 2004. doi: 10.1142/S0219843604000289. URL https://doi.org/10.1142/S0219843604000289.Google Scholar

Kaptelinin, Victor. Technology and the givens of existence: Toward an existential inquiry framework in HCI research. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI’18, pages 270:1–270:14, New York, NY, 2018. ACM. ISBN 978-1-4503-5620-6. doi: 10.1145/3173574.3173844. URL http://doi.acm.org/10.1145/3173574.3173844.Google Scholar

Kato, Yusuke, Kanda, Takayuki, and Ishiguro, Hiroshi. May I help you? design of human-like polite approaching behavior. In 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, pages 35–42. ACM, 2015. ISBN 978-1-4503-2883-8. doi: 10.1145/2696454.2696463. URL https://doi.org/10.1145/2696454.2696463.Google Scholar

Keltner, Dacher and Kring, Ann M.. Emotion, social function, and psychopathology. Review of General Psychology, 2(3):320–342, 1998. doi: 10.1037/1089-2680.2.3.320. URL https://doi.org/10.1037/1089-2680.2.3.320.Google Scholar

Kemper, Theodore D.. How many emotions are there? Wedding the social and the autonomic components. American Journal of Sociology, 93(2):263–289, 1987. doi: 10.1086/228745. URL https://doi.org/10.1086/228745.Google Scholar

Kendon, Adam. Conducting interaction: Patterns of behavior in focused encounters. Cambridge University Press, Cambridge, UK, 1990. ISBN 978-0521389389. URL http://www.worldcat.org/oclc/785489376.Google Scholar

Kennedy, James, Baxter, Paul, and Belpaeme, Tony. The robot who tried too hard: Social behaviour of a robot tutor can negatively affect child learning. In 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, pages 67–74. ACM, 2015. ISBN 978-1-4503-2883-8. doi: 10.1145/2696454.2696457. URL https://doi.org/10.1145/2696454.2696457.Google Scholar

Kennedy, James, Lemaignan, Séverin, Montassier, Caroline, Lavalade, Pauline, Irfan, Bahar, Fotios, Papadopoulos, Emmanuel, Senft, and Belpaeme, Tony. Child speech recognition in human-robot interaction: Evaluations and recommendations. In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pages 82–90. ACM, 2017. ISBN 978-1-4503-4336-7. doi: 10.1145/2909824.3020229. URL https://doi.org/10.1145/2909824.3020229.Google Scholar

Kidd, Cory D. and Breazeal, Cynthia. A robotic weight loss coach. In Proceedings of the 22nd National Conference on Artificial Intelligence, Volume 2, AAAI’07, pages 1985–1986. AAAI Press, 2007. ISBN 978-1-57735-323-2. URL http://dl.acm.org/citation.cfm?id=1619797.1619992.Google Scholar

Kidd, Cory D. and Breazeal, Cynthia. Robots at home: Understanding long-term human-robot interaction. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 3230–3235. IEEE, 2008. ISBN 978-1-4244-2057-5. doi: 10.1109/IROS.2008.4651113. URL https://doi.org/10.1109/IROS.2008.4651113.Google Scholar

Kiesler, Sara, Powers, Aaron, Fussell, Susan R., and Torrey, Cristen. Anthropomorphic interactions with a robot and robot-like agent. Social Cognition, 26(2):169–181, 2008. doi: 10.1521/soco.2008.26.2.169. URL https://doi.org/10.1521/soco.2008.26.2.169.Google Scholar

Kim, Ki Joon, Park, Eunil, and Sundar, S. Shyam. Caregiving role in human–robot interaction: A study of the mediating effects of perceived benefit and social presence. Computers in Human Behavior, 29(4):1799–1806, 2013. doi: 10.1016/j.chb.2013.02.009. URL https://doi.org/10.1016/j.chb.2013.02.009.Google Scholar

Kirmeyer, Sandra L. and Lin, Thung-Rung. Social support: Its relationship to observed communication with peers and superiors. Academy of Management Journal, 30(1):138–151, 1987. doi: 10.5465/255900. URL https://doi.org/10.5465/255900.Google Scholar

Kitano, Naho. “Rinri”: An incitement towards the existence of robots in Japanese society. International Review of Information Ethics, 6:78–83, 2006. URL http://www.i-r-i-e.net/inhalt/006/006_Kitano.pdf.Google Scholar

Klassner, Frank. A case study of LEGO Mindstorms suitability for artificial intelligence and robotics courses at the college level. SIGCSE Bulletin, 34(1): 8–12, February 2002. ISSN 0097-8418. doi: 10.1145/563517.563345. URL http://doi.acm.org/10.1145/563517.563345.Google Scholar

Koay, Kheng Lee, Sisbot, Emrah Akin, Syrdal, Dag Sverre, Walters, Mick L., Dautenhahn, Kerstin, and Alami, Rachid. Exploratory study of a robot approaching a person in the context of handing over an object. In AAAI Spring Symposium: Multidisciplinary Collaboration for Socially Assistive Robotics, pages 18–24, 2007a. URL http://www.aaai.org/Papers/Symposia/Spring/2007/SS-07–07/SS07–07-004.pdf.Google Scholar

Koay, Kheng Lee, Syrdal, Dag Sverre, Walters, Michael L., and Dautenhahn, Kerstin. Living with robots: Investigating the habituation effect in participants’ preferences during a longitudinal human-robot interaction study. In The 16th IEEE International Symposium on Robot and Human Interactive Communication, pages 564–569. IEEE, 2007b. ISBN 978-1-4244-1634-9. doi: 10.1109/ROMAN.2007.4415149. URL https://doi.org/10.1109/ROMAN.2007.4415149.Google Scholar

Kollar, Thomas, Tellex, Stefanie, Roy, Deb, and Roy, Nicholas. Toward understanding natural language directions. In 5th ACM/IEEE International Conference on Human-Robot Interaction, pages 259–266. IEEE, 2010. ISBN 978-1-4244-4892-0. doi: 10.1109/HRI.2010.5453186. URL https://doi.org/10.1109/HRI.2010.5453186.Google Scholar

Koo, Jeamin, Kwac, Jungsuk, Wendy, Ju, Steinert, Martin, Leifer, Larry, and Nass, Clifford. Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance. International Journal on Interactive Design and Manufacturing (IJIDeM), 9(4):269–275, 2015. doi: 10.1007/s12008–014-0227-2. URL https://doi.org/10.1007/s12008–014-0227-2.Google Scholar

Kopp, Stefan, Krenn, Brigitte, Marsella, Stacy, Marshall, Andrew N., Pelachaud, Catherine, Pirker, Hannes, Thórisson, Kristinn R., and Vilhjálmsson, Hannes. Towards a common framework for multimodal generation: The behavior markup language. In International Workshop on Intelligent Virtual Agents, pages 205– 217. Springer, 2006. ISBN 978-3-540-37593-7. doi: 10.1007/11821830 17. URL https://doi.org/10.1007/11821830_17.Google Scholar

Kozima, Hideki, Michalowski, Marek P., and Nakagawa, Cocoro. Keepon. International Journal of Social Robotics, 1(1):3–18, 2009. doi: 10.1007/s12369–008-0009-8. URL https://doi.org/10.1007/s12369–008-0009-8.Google Scholar

Kruse, Thibault, Pandey, Amit Kumar, Alami, Rachid, and Kirsch, Alexandra. Human-aware robot navigation: A survey. Robotics and Autonomous Systems, 61(12):1726–1743, 2013. doi: 10.1016/j.robot.2013.05.007. URL https://doi.org/10.1016/j.robot.2013.05.007.Google Scholar

Kuchenbrandt, Dieta, Riether, Nina, and Eyssel, Friederike. Does anthropomorphism reduce stress in HRI? In Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction, pages 218–219, New York, NY, 2014. ACM. ISBN 978-1-4503-2658-2. doi: 10.1145/2559636.2563710. URL http://doi.org/10.1145/2559636.2563710.Google Scholar

Kuhn, Thomas S.. The structure of scientific revolutions. University of Chicago Press, Chicago, IL, 2nd edition, 1970. ISBN 0226458032. URL http://www.worldcat.org/oclc/468581998.Google Scholar

Kulic, Dana and Croft, Elizabeth A.. Safe planning for human-robot interaction. Journal of Field Robotics, 22(7):383–396, 2005. doi: 10.1002/rob.20073. URL https://doi.org/10.1002/rob.20073.Google Scholar

Kuzuoka, Hideaki, Suzuki, Yuya, Yamashita, Jun, and Yamazaki, Keiichi. Reconfiguring spatial formation arrangement by robot body orientation. In 5th ACM/IEEE International Conference on Human-Robot Interaction, pages 285–292. IEEE Press, 2010. ISBN 978-1-4244-4892-0. doi: 10.1109/HRI.2010.5453182. URL https://doi.org/10.1109/HRI.2010.5453182.Google Scholar

Lang, Peter J., Bradley, Margaret M., and Cuthbert, Bruce N.. Motivated attention: Affect, activation, and action. In Lang, Peter J., Simons, Robert F., Balaban, Marie, and Simons, Robert, editors, Attention and orienting: Sensory and motivational processes, pages 97–135. Erlbaum, Hillsdale, NJ, 1997. ISBN 9781135808204. URL http://www.worldcat.org/oclc/949987355.Google Scholar

Lara, Juan S., Casas, Jonathan, Aguirre, Andres, Munera, Marcela, Rincon-Roncancio, Monica, Irfan, Bahar, Senft, Emmanuel, Belpaeme, Tony, and Ci-fuentes, Carlos A.. Human-robot sensor interface for cardiac rehabilitation. In International Conference on Rehabilitation Robotics (ICORR), pages 1013–1018. IEEE, 2017. ISBN 978-1-5386-2296-4. doi: 10.1109/ICORR.2017.8009382. URL https://doi.org/10.1109/ICORR.2017.8009382.Google Scholar

Larsen, Randy J. and Diener, Edward. Promises and problems with the circumplex model of emotion. In Clark, Margaret S., editor, Emotion: The review of personality and social psychology, volume 13, chapter 2, pages 25–59. Thousand Oaks, CA: Sage, 1992. ISBN 978-0803946149. URL http://www.worldcat.org/oclc/ 180631851.Google Scholar

Lazarus, Richard S.. Emotion and adaptation. Oxford University Press on Demand, 1991. ISBN 978-0195092660. URL http://www.worldcat.org/oclc/298419692.Google Scholar

LeCun, Yann, Bengio, Yoshua, and Hinton, Geoffrey. Deep learning. Nature, 521 (7553):436, 2015. doi: 10.1038/nature14539. URL https://doi.org/10.1038/nature14539.Google Scholar

Lee, Hee Rin, Sung, JaYoung, Šabanović, Selma, and Han, Joenghye. Cultural design of domestic robots: A study of user expectations in Korea and the United States. In IEEE International Workshop on Robot and Human Interactive Communication, pages 803–808. IEEE, 2012. ISBN 978-1-4673-4604-7. doi: 10.1109/ROMAN.2012.6343850. URL https://doi.org/10.1109/ROMAN.2012.6343850.Google Scholar

Lee, Hee Rin, Šabanović, Selma, Chang, Wan-Ling, Nagata, Shinichi, Piatt, Jennifer, Bennett, Casey, and Hakken, David. Steps toward participatory design of social robots: Mutual learning with older adults with depression. In ACM/IEEE International Conference on Human-Robot Interaction, pages 244–253. ACM, 2017. ISBN 978-1-4503-4336-7. doi: 10.1145/2909824.3020237. URL https://doi.org/10.1145/2909824.3020237.Google Scholar

Lee, Min Kyung, Forlizzi, Jodi, Rybski, Paul E, Crabbe, Frederick, Chung, Wayne, Finkle, Josh, Glaser, Eric, and Kiesler, Sara. The Snackbot: Documenting the design of a robot for long-term human-robot interaction. In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pages 7–14. ACM, 2009. ISBN 978-1-60558-404-1. doi: 10.1145/1514095.1514100. URL https://doi.org/ 10.1145/1514095.1514100.Google Scholar

Lee, Sau-lai, Lau, Ivy Yee-man, Kiesler, Sara, and Chiu, Chi-Yue. Human mental models of humanoid robots. In IEEE International Conference on Robotics and Automation, pages 2767–2772. IEEE, 2005. ISBN 0-7803-8914-X. doi: 10.1109/ROBOT.2005.1570532. URL https://doi.org/10.1109/ROBOT.2005.1570532.Google Scholar

Leite, Iolanda, Castellano, Ginevra, Pereira, André, Martinho, Carlos, and Paiva, Ana. Modelling empathic behaviour in a robotic game companion for children: An ethnographic study in real-world settings. In Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI’12, pages 367–374, New York, NY, 2012. ACM. ISBN 978-1-4503-1063-5. doi: 10.1145/2157689.2157811. URL https://dx.doi.org/10.1145/2157689.2157811.Google Scholar

Leite, Iolanda, Martinho, Carlos, and Paiva, Ana. Social robots for long-term interaction: A survey. International Journal of Social Robotics, 5(2):291– 308, 2013. doi: 10.1007/s12369-013-0178-y. URL https://doi.org/10.1007/ s12369–013-0178-y.Google Scholar

Leite, Iolanda, McCoy, Marissa, Lohani, Monika, Ullman, Daniel, Salomons, Nicole, Stokes, Charlene, Rivers, Susan, and Scassellati, Brian. Emotional storytelling in the classroom: Individual versus group interaction between children and robots. In Proceedings of the 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, pages 75–82. ACM, 2015. ISBN 978-1-4503-2883-8. doi: 10.1145/2696454.2696481. URL https://doi.org/10.1145/2696454.2696481.Google Scholar

Lemaignan, Séverin, Warnier, Mathieu, Sisbot, E. Akin, Clodic, Aurélie, and Alami, Rachid. Artificial cognition for social human-robot interaction: An implementation. Artificial Intelligence, 247:45–69, 2017. ISSN 0004-3702. doi: 10.1016/j.artint.2016.07.002. URL http://doi.org/10.1016/j.artint.2016.07.002.Google Scholar

Lenat, Douglas B.. Cyc: A large-scale investment in knowledge infrastructure. Communications of the ACM, 38(11):33–38, 1995. doi: 10.1145/219717.219745. URL https://doi.org/10.1145/219717.219745.Google Scholar

Levy, David. Love and sex with robots: The evolution of human-robot relationships. Harper Collins, New York, NY, 2009. ISBN 978-0061359804. URL http://www.worldcat.org/oclc/1021135698.Google Scholar

Leyens, Jacques-Philippe, Rodríguez, Armando, Rodriguez-Torres, Ramon, Gaunt, Ruth, Paladino, Maria, Vaes, Jeroen, and Demoulin, Stéphanie. Psychological essentialism and the differential attribution of uniquely human emotions to in-groups and outgroups. European Journal of Social Psychology, 31:395–411, 07 2001. doi: 10.1002/ejsp.50. URL https://doi.org/10.1002/ejsp.50.Google Scholar

Leyzberg, Daniel, Spaulding, Samuel, Toneva, Mariya, and Scassellati, Brian. The physical presence of a robot tutor increases cognitive learning gains. In Proceedings of the Cognitive Science Society, pages 1882–1887, 2012. URL https://escholarship.org/uc/item/7ck0p200.Google Scholar

Lin, Patrick, Abney, Keith, and Bekey, George A.. Robot ethics: The ethical and social implications of robotics. Intelligent robotics and autonomous agents. MIT Press, Cambridge, MA, 2012. ISBN 9780262016667. URL http://www.worldcat.org/ oclc/1004334474.Google Scholar

Lindblom, Jessica and Ziemke, Tom. Social situatedness of natural and artificial intelligence: Vygotsky and beyond. Adaptive Behavior, 11(2):79–96, 2003. doi: 10.1177/10597123030112002. URL https://doi.org/10.1177/10597123030112002.Google Scholar

Liu, P., Glas, D. F., Kanda, T., and Ishiguro, H.. Data-driven HRI: Learning social behaviors by example from human-human interaction. IEEE Transactions on Robotics, 32(4):988–1008, 2016. ISSN 1552-3098. doi: 10.1109/TRO.2016.2588880. URL https://doi.org/10.1109/TRO.2016.2588880.Google Scholar

Liu, Phoebe, Glas, Dylan F., Kanda, Takayuki, Ishiguro, Hiroshi, and Hagita, Norihiro. It’s not polite to point: Generating socially-appropriate deictic behaviors towards people. In The 8th ACM/IEEE International Conference on Human-Robot Interaction, pages 267–274. IEEE Press, 2013. ISBN 978-1-4673-3099-2. doi: 10.1109/HRI.2013.6483598. URL https://doi.org/10.1109/HRI.2013.6483598.Google Scholar

Lowdermilk, Travis. User-centered design: A developer’s guide to building user-friendly applications. O’Reilly, Sebastopol, CA, 2013. ISBN 978-1449359805. URL http://www.worldcat.org/oclc/940703603.Google Scholar

Luber, Matthias, Spinello, Luciano, Silva, Jens, and Arras, Kai O.. Socially-aware robot navigation: A learning approach. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 902–907. IEEE, 2012. ISBN 978-1-4673-1737-5. doi: 10.1109/IROS.2012.6385716. URL https://doi.org/10.1109/IROS.2012.6385716.Google Scholar

MacDorman, Karl F., Vasudevan, Sandosh K., and Ho, Chin-Chang. Does Japan really have robot mania? comparing attitudes by implicit and explicit measures. AI & SOCIETY, 23(4):485–510, Jul 2009. ISSN 1435-5655. doi: 10.1007/s00146–008-0181-2. URL https://doi.org/10.1007/s00146–008-0181-2.Google Scholar

Mar, Alex. Modern love: Are we ready for intimacy with androids?, October 2017. URL https://www.wired.com/2017/10/hiroshi-ishiguro-when-robots-act-just-like-humans/. Online; accessed 7-September-2018.Google Scholar

Marshall, Aarian and Davies, Alex. Uber’s self-driving car saw the woman it killed, report says. Wired Magazine, March 2018. URL https://www.wired.com/story/uber-self-driving-crash-arizona-ntsb-report/Online; accessed7-November-2018.Google Scholar

Marshall, Paul, Rogers, Yvonne, and Pantidi, Nadia. Using f-formations to analyse spatial patterns of interaction in physical environments. In Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, pages 445– 454. ACM, 2011. ISBN 978-1-4503-0556-3. doi: 10.1145/1958824.1958893. URL https://doi.org/10.1145/1958824.1958893.Google Scholar

Matarić, Maja J.. The robotics primer. MIT Press, Cambridge, MA, 2007. ISBN 9780262633543. URL http://www.worldcat.org/oclc/604083625.Google Scholar

Mavridis, Nikolaos. A review of verbal and non-verbal human–robot interactive communication. Robotics and Autonomous Systems, 63:22–35, 2015. ISSN 0921-8890. doi: 10.1016/j.robot.2014.09.031. URL https://doi.org/10.1016/j.robot.2014.09.031.Google Scholar

Mayer, Richard E. and DaPra, C. Scott. An embodiment effect in computer-based learning with animated pedagogical agents. Journal of Experimental Psychology: Applied, 18(3):239–252, 2012. doi: 10.1037/a0028616. URL http://doi.org/10. 1037/a0028616.Google Scholar

McCorduck, Pamela. Machines who think: A personal inquiry into the history and prospects of artificial intelligence. W. H. Freeman, San Francisco, 1979. ISBN 978-1568812052. URL http://www.worldcat.org/oclc/748860627.Google Scholar

McDermott, Drew. Yes, computers can think. New York Times, 1997. URL http://www.nytimes.com/1997/05/14/opinion/yes-computers-can-think.html.Google Scholar

Mehrabian, Albert. Basic dimensions for a general psychological theory: Implications for personality, social, environmental, and developmental studies. Oelgeschlager, Gunn & Hain, Cambridge, MA, 1980. ISBN 978-0899460048. URL http://www.worldcat.org/oclc/925130232.Google Scholar

Mehrabian, Albert and Russell, James A.. An approach to environmental psychology. MIT Press, Cambridge, MA, 1974. ISBN 9780262630719. URL http://www.worldcat.org/oclc/318133343.Google Scholar

Michalowski, Marek P., Sabanovic, Selma, and Simmons, Reid. A spatial model of engagement for a social robot. In 9th IEEE International Workshop on Advanced Motion Control, pages 762–767. IEEE, 2006. ISBN 0-7803-9511-1. doi: 10.1109/AMC.2006.1631755. URL https://doi.org/10.1109/AMC.2006.1631755.Google Scholar

Michalowski, Marek P., Sabanovic, Selma, and Kozima, Hideki. A dancing robot for rhythmic social interaction. In 2nd ACM/IEEE International Conference on Human-Robot Interaction, pages 89–96. IEEE, 2007. ISBN 978-1-59593-617-2. doi: 10.1145/1228716.1228729. URL https://doi.org/10.1145/1228716.1228729.Google Scholar

Mitra, Sushmita and Acharya, Tinku. Gesture recognition: A survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 37 (3):311–324, 2007. doi: 10.1109/TSMCC.2007.893280. URL https://doi.org/10.1109/TSMCC.2007.893280.Google Scholar

Moore, Roger K.. A Bayesian explanation of the “uncanny valley” effect and related psychological phenomena. Scientific Reports, 2:864, 2012. doi: 10.1038/srep00864. URL http://dx.doi.org/10.1038/srep00864.Google Scholar

Saiki, Luis Yoichi Morales, Satake, Satoru, Kanda, Takayuki, and Hagita, Norihiro. Modeling environments from a route perspective. In 6th International Conference on Human-Robot interaction, pages 441–448. ACM, 2011. ISBN 978-1-4503-0561-7. doi: 10.1145/1957656.1957815. URL https://doi.org/10.1145/1957656.1957815.Google Scholar

Morales Saiki, Luis Yoichi, Satake, Satoru, Huq, Rajibul, Glas, Dylan, Kanda, Takayuki, and Hagita, Norihiro. How do people walk side-by-side? Using a computational model of human behavior for a social robot. In 7th Annual ACM/IEEE International Conference on Human-Robot Interaction, pages 301–308. ACM, 2012. ISBN 978-1-4503-1063-5. doi: 10.1145/2157689.2157799. URL https://doi.org/10.1145/2157689.2157799.Google Scholar

Mori, Masahiro. The Uncanny Valley. Energy, 7:33–35, 1970. doi: 10.1109/MRA.2012.2192811. URL https://doi.org/10.1109/MRA.2012.2192811.Google Scholar

Mori, Masahiro. The Buddha in the robot. Tuttle Publishing, Tokyo, Japan, 1982. ISBN 978-4333010028. URL http://www.worldcat.org/oclc/843422852.Google Scholar

Mori, Masahiro, MacDorman, Karl F., and Kageki, Norri. The Uncanny Valley [from the field]. IEEE Robotics & Automation Magazine, 19(2):98–100, 2012. doi: 10.1109/MRA.2012.2192811. URL https://doi.org/10.1109/MRA.2012.2192811.Google Scholar

Mubin, Omar, Stevens, Catherine J., Shahid, Suleman, Mahmud, Abdullah Al, and Dong, Jian-Jie. A review of the applicability of robots in education. Journal of Technology in Education and Learning, 1(209-0015):1–7, 2013. doi: 10.2316/Journal.209.2013.1.209-0015. URL http://doi.org/10.2316/Journal.209.2013.1.209-0015.Google Scholar

Mumm, Jonathan and Mutlu, Bilge. Human-robot proxemics: Physical and psychological distancing in human-robot interaction. In Proceedings of the 2011 ACM/IEEE International Conference on Human-Robot Interaction, pages 331– 338. ACM, 2011. ISBN 978-1-4503-0561-7. doi: 10.1145/1957656.1957786. URL https://dl.acm.org/citation.cfm?doid=1957656.1957786.Google Scholar

Murphy, Mike. The beginning of the end: Google’s AI has beaten a top human player at the complex game of go. Quartz, 2016 . URL https://qz.com/636637/ the-beginning-of-the-end-googles-ai-has-beaten-a-top-human-player-at-the-complex-game-of-go/.Google Scholar

Mutlu, Bilge and Forlizzi, Jodi. Robots in organizations: The role of workflow, social, and environmental factors in human-robot interaction. In 3rd ACM/IEEE International Conference on Human-Robot Interaction, pages 287–294. IEEE, 2008. ISBN 978-1-60558-017-3. doi: 10.1145/1349822.1349860. URL https://doi.org/10.1145/1349822.1349860.Google Scholar

Mutlu, Bilge, Forlizzi, Jodi, and Hodgins, Jessica. A storytelling robot: Modeling and evaluation of human-like gaze behavior. In 6th IEEE-RAS International Conference on Humanoid Robots, pages 518–523. Citeseer, 2006. ISBN 1-4244-0199-2. doi: https://doi.org/10.1109/ICHR.2006.321322. URL https://doi.org/10.1109/ICHR.2006.321322.Google Scholar

Mutlu, Bilge, Shiwa, Toshiyuki, Kanda, Takayuki, Ishiguro, Hiroshi, and Hagita, Norihiro. Footing in human-robot conversations: How robots might shape participant roles using gaze cues. In The 4th ACM/IEEE International Conference on Human-Robot Interaction, pages 61–68. ACM, 2009. ISBN 978-1-60558-404-1. doi: 10.1145/1514095.1514109. URL https://doi.org/10.1145/1514095.1514109.Google Scholar

Mutlu, Bilge, Kanda, Takayuki, Forlizzi, Jodi, Hodgins, Jessica, and Ishiguro, Hiroshi. Conversational gaze mechanisms for humanlike robots. ACM Transactions on Interactive Intelligent Systems, 1(2):12, 2012. doi: 10.1145/2070719.2070725. URL https://doi.org/10.1145/2070719.2070725.Google Scholar

Nakauchi, Yasushi and Simmons, Reid. A social robot that stands in line. Autonomous Robots, 12(3):313–324, 2002. doi: 10.1023/A:1015273816637. URL https://doi.org/10.1023/A:1015273816637.Google Scholar

Navigli, Roberto and Ponzetto, Simone Paolo. Babelnet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial Intelligence, 193:217–250, 2012. doi: 10.1016/j.artint.2012.07.001. URL https://doi.org/10.1016/j.artint.2012.07.001.Google Scholar

Nehaniv, C. L., Dautenhahn, K., Kubacki, J., Haegele, M., Parlitz, C., and Alami, R.. A methodological approach relating the classification of gesture to identification of human intent in the context of human-robot interaction. In IEEE International Workshop on Robot and Human Interactive Communication, pages 371–377, 2005. ISBN 0780392744. doi: 10.1109/ROMAN.2005.1513807. URL https://doi.org/10.1109/ROMAN.2005.1513807.Google Scholar

Nishiguchi, Shogo, Ogawa, Kohei, Yoshikawa, Yuichiro, Chikaraishi, Takenobu, Hirata, Oriza, and Ishiguro, Hiroshi. Theatrical approach: Designing human-like behaviour in humanoid robots. Robotics and Autonomous Systems, 89:158–166, 2017. doi: 10.1016/j.robot.2016.11.017. URL https://doi.org/10.1016/j.robot.2016.11.017.Google Scholar

Norman, Don. The design of everyday things: Revised and expanded edition. Basic Books, New York, NY, 2013. ISBN 9780465072996. URL http://www.worldcat.org/oclc/862103168.Google Scholar

Norman, Donald A.. The way i see it: Signifiers, not affordances. Interactions, 15(6): 18–19, 2008. doi: 10.1145/1409040.1409044. URL https://doi.org/10.1145/1409040.1409044.Google Scholar

Nosek, Brian A., Ebersole, Charles R., DeHaven, Alexander, and Mellor, David. The preregistration revolution. Proceedings of the National Academy of Sciences of the United States of America, 115(11):2600–2606, 2017. doi: 10.1073/pnas.1708274114. URL https://doi.org/10.1073/pnas.1708274114.Google Scholar

Nourbakhsh, Illah R., Bobenage, Judith, Grange, Sebastien, Lutz, Ron, Meyer, Roland, and Soto, Alvaro. An affective mobile robot educator with a full-time job. Artificial Intelligence, 114(1-2):95–124, 1999. doi: 10.1016/S0004-3702(99)00027-2. URL https://doi.org/10.1016/S0004–3702(99)00027-2.Google Scholar

Nourbakhsh, Illah Reza. Robot futures. MIT Press, Cambridge, MA, 2013. ISBN 9780262018623. URL http://www.worldcat.org/oclc/945438245.Google Scholar

Novikova, Jekaterina and Watts, Leon. Towards artificial emotions to assist social coordination in HRI. International Journal of Social Robotics, 7(1):77– 88, 2015. doi: 10.1007/s12369-014-0254-y. URL https://doi.org/10.1007/ s12369–014-0254-y.Google Scholar

Nuzzo, Regina. Statistical errors. Nature, 506(7487):150, 2014. doi: 10.1038/506150a. URL https://doi.org/10.1038/506150a.Google Scholar

Oppenheimer, Daniel M., Meyvis, Tom, and Davidenko, Nicolas. Instructional manipulation checks: Detecting satisficing to increase statistical power. Journal of Experimental Social Psychology, 45(4):867–872, 2009. doi: 10.1016/j.jesp.2009.03.009. URL https://doi.org/10.1016/j.jesp.2009.03.009.Google Scholar

Ortony, Andrew and Turner, Terence J. What’s basic about basic emotions? Psychological Review, 97(3):315, 1990. doi: 10.1037/0033-295X.97.3.315. URL https://doi.org/10.1037/0033-295X.97.3.315.Google Scholar

Ortony, Andrew, Clore, Gerald, and Collins, Allan. The cognitive structure of emotions. Cambridge University Press, Cambridge, UK, 1988. ISBN 978-0521386647. URL http://www.worldcat.org/oclc/910015120.Google Scholar

Osawa, Hirotaka, Ohmura, Ren, and Imai, Michita. Using attachable humanoid parts for realizing imaginary intention and body image. International Journal of Social Robotics, 1(1):109–123, 2009. doi: 10.1007/s12369-008-0004-0. URL https://doi.org/10.1007/s12369–008-0004-0.Google Scholar

Pacchierotti, Elena, Christensen, Henrik I., and Jensfelt, Patric. Evaluation of passing distance for social robots. In The 15th IEEE International Symposium on Robot and Human Interactive Communication, pages 315–320. IEEE, 2006. ISBN 1-4244-0564-5. doi: 10.1109/ROMAN.2006.314436. URL https://doi.org/10.1109/ROMAN.2006.314436.Google Scholar

Paepcke, Steffi and Takayama, Leila. Judging a bot by its cover: An experiment on expectation setting for personal robots. In 5th ACM/IEEE International Conference on Human-Robot Interaction, pages 45–52. IEEE, 2010. ISBN 978-1-4244-4892-0. doi: 10.1109/HRI.2010.5453268. URL https://doi.org/10.1109/HRI. 2010.5453268.Google Scholar

Pantic, Maja, Pentland, Alex, Nijholt, Anton, and Huang, Thomas S.. Human computing and machine understanding of human behavior: A survey. In Huang T. S., Nijholt A., Pantic M., and Pentland A., editors, Artificial intelligence for human computing, volume 4451 of Lecture Notes in Computer Science, pages 47–71. Springer, 2007. doi: 10.1007/978-3-540-72348-63. URL https://doi.org/10.1007/978-3-540-72348-6_3.Google Scholar

Park, Hae Won, Gelsomini, Mirko, Lee, Jin Joo, and Breazeal, Cynthia. Telling stories to robots: The effect of backchanneling on a child’s storytelling. In ACM/IEEE International Conference on Human-Robot Interaction, pages 100– 108. ACM, 2017. ISBN 978-1-4503-4336-7. doi: 10.1145/2909824.3020245. URL https://doi.org/10.1145/2909824.3020245.Google Scholar

Partridge, Michael and Bartneck, Christoph. The invisible naked guy: An exploration of a minimalistic robot. In The First International Conference on Human-Agent Interaction, pages II–2–p2, 2013. doi: 10.17605/OSF.IO/A4YM5. URL https://doi.org/10.17605/OSF.IO/A4YM5.Google Scholar

Pentland, Alex and Heibeck, Tracy. Honest signals: How they shape our world. MIT Press, Cambridge, MA, 2010. ISBN 978-0262515122. URL http://www.worldcat.org/oclc/646395585.Google Scholar

Pérez-Hurtado, Ignacio, Capitán, Jesús, Caballero, Fernando, and Merino, Luis. Decision-theoretic planning with person trajectory prediction for social navigation. In Robot 2015: Second Iberian Robotics Conference, pages 247–258. Springer, 2016. ISBN 978-3-319-27148-4. doi: 10.1007/978-3-319-27149-120. URL https://doi.org/10.1007/978-3-319-27149-1_20.Google Scholar

Pettigrew, Thomas F., Tropp, Linda R., Wagner, Ulrich, and Christ, Oliver. Recent advances in intergroup contact theory. International Journal of Intercultural Relations, 35(3):271–280, 2011. doi: 10.1016/j.ijintrel.2011.03.001. URL https://doi.org/10.1016/j.ijintrel.2011.03.001.Google Scholar

Picard, R. W.. Affective computing. MIT Press, Cambridge, MA, 1997. ISBN 978-0262661157. URL https://mitpress.mit.edu/books/affective-computing.Google Scholar

Pineau, Joelle, Montemerlo, Michael, Pollack, Martha, Roy, Nicholas, and Thrun, Sebastian. Towards robotic assistants in nursing homes: Challenges and results. Robotics and Autonomous Systems, 42(3-4):271–281, 2003. doi: 10.1016/S0921–8890(02)00381-0. URL https://doi.org/10.1016/S0921–8890(02) 00381-0.Google Scholar

Pirsig, Robert M.. Zen and the art of motorcycle maintenance: An inquiry into values. Morrow, New York, NY, 1974. ISBN 0688002307. URL http://www.worldcat.org/oclc/41356566.Google Scholar

Pizzagalli, Diego A., Holmes, Avram J., Dillon, Daniel G., Goetz, Elena L., Birk, Jeffrey L., Bogdan, Ryan, Dougherty, Darin D., Iosifescu, Dan V., Rauch, Scott L., and Fava, Maurizio. Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder. American Journal of Psychiatry, 166(6):702–710, 2009. doi: 10.1016/j.jpsychires.2008.03.001. URL https://doi.org/10.1016/j.jpsychires.2008.03.001.Google Scholar

Plutchik, Robert Ed and Conte, Hope R.. Circumplex models of personality and emotions. American Psychological Association, Washington, D.C., 1997. ISBN 978-1557983800. URL http://www.worldcat.org/oclc/442562242.Google Scholar

Anamaria Pop, Cristina, Simut, Ramona, Pintea, Sebastian, Saldien, Jelle, Rusu, Alina, David, Daniel, Vanderfaeillie, Johan, Lefeber, Dirk, and Vanderborght, Bram. Can the social robot Probo help children with autism to identify situation-based emotions? A series of single case experiments. International Journal of Humanoid Robotics, 10(03):1350025, 2013. doi: 10.1142/S0219843613500254. URL https://doi.org/10.1142/S0219843613500254.Google Scholar

Posner, Jonathan, Russell, James A., and Peterson, Bradley S.. The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology. Development and Psychopathology, 17(3):715– 734, 2005. doi: 10.1017/S0954579405050340. URL https://doi.org/10.1017/S0954579405050340.Google Scholar

Posner, Michael I.. Cognitive neuroscience of attention. Guilford Press, New York, NY, 2011. ISBN 978-1609189853. URL http://www.worldcat.org/oclc/ 958053069.Google Scholar

Powers, Aaron, Kramer, Adam D. I., Lim, Shirlene, Kuo, Jean, Lee, Sau-lai, and Kiesler, Sara. Eliciting information from people with a gendered humanoid robot. In IEEE International Workshop on Robot and Human Interactive Communication, pages 158–163. IEEE, 2005. ISBN 0-7803-9274-4. doi: 10.1109/ROMAN.2005.1513773. URL https://doi.org/10.1109/ROMAN.2005.1513773.Google Scholar

Powers, Aaron, Kiesler, Sara, Fussell, Susan, and Torrey, Cristen. Comparing a computer agent with a humanoid robot. In Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pages 145–152. ACM, 2007. ISBN 978-1-59593-617-2. doi: 10.1145/1228716.1228736. URL https://doi.org/10.1145/1228716.1228736.Google Scholar

Reeves, Byron and Ivar Nass, Clifford. The media equation: How people treat computers, television, and new media like real people and places. Cambridge University Press, Cambridge, UK, 1996. ISBN 978-1575860534. URL http://www.worldcat.org/oclc/796222708.Google Scholar

Reich-Stiebert, Natalia and Eyssel, Friederike. Learning with educational companion robots? Toward attitudes on education robots, predictors of attitudes, and application potentials for education robots. International Journal of Social Robotics, 7(5):875–888, Nov 2015. ISSN 1875-4805. doi: 10.1007/s12369-015-0308-9. URL https://doi.org/10.1007/s12369–015-0308-9.Google Scholar

Reich-Stiebert, Natalia and Eyssel, Friederike. Robots in the classroom: What teachers think about teaching and learning with education robots. In International Conference on Social Robotics, pages 671–680. Springer, 2016. ISBN 978-3-319-47436-6. doi: 10.1007/978-3-319-47437-366. URL https://doi.org/10.1007/ 978-3-319-47437-3_66.Google Scholar

Reich-Stiebert, Natalia and Anne Eyssel, Friederike. Leben mit robotern-eine online-befragung im deutschen sprachraum zur akzeptanz von servicerobotern im alltag (poster), 2013. URL https://pub.uni-bielefeld.de/publication/2907019.Google Scholar

Reichardt, Jasia. Robots: Fact, fiction, and prediction. Thames and Hudson, London, UK, 1978. ISBN 9780140049381. URL http://www.worldcat.org/oclc/1001944069.Google Scholar

Remington, Nancy A., Fabrigar, Leandre R., and Visser, Penny S.. Reexamining the circumplex model of affect. Journal of Personality and Social Psychology, 79 (2):286–300, 2000. doi: 10.1037/0022-3514.79.2.286. URL https://doi.org/10.1037/0022-3514.79.2.286.Google Scholar

Rich, Charles, Ponsler, Brett, Holroyd, Aaron, and Sidner, Candace L.. Recognizing engagement in human-robot interaction. In 5th ACM/IEEE International Conference on Human-Robot Interaction, pages 375–382. IEEE, 2010. ISBN 978-1-4244-4892-0. doi: 10.1109/HRI.2010.5453163. URL https://doi.org/10.1109/ HRI.2010.5453163.Google Scholar

Riek, Laurel D.. Wizard of Oz studies in HRI: A systematic review and new reporting guidelines. Journal of Human-Robot Interaction, 1(1):119–136, 2012. doi: 10.5898/JHRI.1.1.Riek. URL https://doi.org/10.5898/JHRI.1.1.Riek.Google Scholar

Riek, Laurel D., Paul, Philip C., and Robinson, Peter. When my robot smiles at me: Enabling human-robot rapport via real-time head gesture mimicry. Journal on Multimodal User Interfaces, 3(1-2):99–108, 2010. doi: 10.1007/s12193-009-0028-2. URL https://doi.org/10.1007/s12193–009-0028-2.Google Scholar

Robins, Ben, Dickerson, Paul, Stribling, Penny, and Dautenhahn, Kerstin. Robot-mediated joint attention in children with autism: A case study in robot-human interaction. Interaction Studies, 5(2):161–198, 2004. doi: 10.1075/is.5.2.02rob. URL https://doi.org/10.1075/is.5.2.02rob.Google Scholar

Robins, Ben, Dautenhahn, Kerstin, and Dickerson, Paul. From isolation to communication: A case study evaluation of robot assisted play for children with autism with a minimally expressive humanoid robot. In 2nd International Conferences on Advances in Computer-Human Interactions, pages 205–211. IEEE, 2009. ISBN 978-1-4244-3351-3. doi: 10.1109/ACHI.2009.32. URL https://doi.org/10.1109/ACHI.2009.32.Google Scholar

Robinson, Hayley, MacDonald, Bruce, and Broadbent, Elizabeth. The role of healthcare robots for older people at home: A review. International Journal of Social Robotics, 6(4):575–591, 2014. doi: 10.1007/s12369-014-0242-2. URL https://doi.org/10.1007/s12369–014-0242-2.Google Scholar

Ros, Raquel, Lemaignan, Séverin, Sisbot, E. Akin, Alami, Rachid, Steinwender, Jasmin, Hamann, Katharina, and Warneken, Felix. Which one? grounding the referent based on efficient human-robot interaction. In 19th International Symposium in Robot and Human Interactive Communication, pages 570–575, 2010. ISBN 1944-9445. doi: 10.1109/ROMAN.2010.5598719. URL http://doi.org/10.1109/ROMAN.2010.5598719.Google Scholar

Rothe, Rasmus, Timofte, Radu, and Van Gool, Luc. Deep expectation of real and apparent age from a single image without facial landmarks. International Journal of Computer Vision (IJCV), 126(2):144–157, 2016. doi: 10.1007/s11263-016-0940-3. URL https://doi.org/10.1007/s11263–016-0940-3.Google Scholar

Rothenbücher, Dirk, Li, Jamy, Sirkin, David, Mok, Brian, and Ju, Wendy. Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles. In 25th IEEE International Symposium on Robot and Human Interactive Communication, pages 795–802. IEEE, 2016. ISBN 978-1-5090-3930-2. doi: 10.1109/ROMAN.2016.7745210. URL https://doi.org/10.1109/ROMAN.2016.7745210.Google Scholar

Russell, James A.. A circumplex model of affect. Journal of Personality and Social Psychology, 39(6):1161–1178, 1980. doi: 10.1037/h0077714. URL https://doi.org/10.1037/h0077714.Google Scholar

Russell, James A. and Barrett, Lisa Feldman. Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. Journal of Personality and Social Psychology, 76(5):805, 1999. doi: 10.1037//0022-3514.76.5.805. URL https://doi.org/10.1037//0022-3514.76.5.805.Google Scholar

Russell, James A., Lewicka, Maria, and Niit, Toomas. A cross-cultural study of a circumplex model of affect. Journal of Personality and Social Psychology, 57 (5):848–856, 1989. doi: 10.1037/0022-3514.57.5.848. URL https://doi.org/10.1037/0022-3514.57.5.848.Google Scholar

Russell, Stuart and Norvig, Peter. Artificial intelligence: A modern approach. Pearson, Essex, UK, 3rd edition, 2009. ISBN 978-0136042594. URL http://www.worldcat.org/oclc/496976145.Google Scholar

Rutherford, Mel D. and Towns, Ashley M.. Scan path differences and similarities during emotion perception in those with and without autism spectrum disorders. Journal of Autism and Developmental Disorders, 38(7):1371–1381, 2008. doi: 10.1007/s10803–007-0525-7. URL https://doi.org/10.1007/s10803–007-0525-7.Google Scholar

Šabanović, Selma. Imagine all the robots: Developing a critical practice of cultural and disciplinary traversals in social robotics. PhD thesis, Doctoral Thesis Faculty of Rensselaer Polytechnic Institute, 2007. URL digitool.rpi.edu:8881/dtl_ publish/50/9729.html.Google Scholar

Šabanović, Selma. Emotion in robot cultures: Cultural models of affect in social robot design. In Proceedings of the Conference on Design & Emotion (D&E2010), pages 4–11, 2010.Google Scholar

Šabanović, Selma and Chang, Wan-Ling. Socializing robots: Constructing robotic sociality in the design and use of the assistive robot PARO. AI & Society, 31 (4):537–551, 2016. doi: 10.1007/s00146-015-0636-1. URL https://doi.org/10.1007/s00146–015-0636-1.Google Scholar

Šabanović, Selma, Michalowski, Marek P., and Simmons, Reid. Robots in the wild: Observing human-robot social interaction outside the lab. In 9th IEEE International Workshop on Advanced Motion Control, pages 596–601. IEEE, 2006. ISBN 0-7803-9511-1. doi: 10.1109/AMC.2006.1631758. URL https://doi.org/10.1109/AMC.2006.1631758.Google Scholar

Šabanović, Selma, Reeder, Sarah M., and Kechavarzi, Bobak. Designing robots in the wild: In situ prototype evaluation for a break management robot. Journal of Human-Robot Interaction, 3(1):70–88, February 2014. ISSN 2163-0364. doi: 10.5898/JHRI.3.1.Sabanovic. URL https://doi.org/10.5898/JHRI.3.1. Sabanovic.Google Scholar

Šabanović, Selma, Chang, Wan-Ling, Bennett, Casey C., Piatt, Jennifer A., and Hakken, David. A robot of my own: Participatory design of socially assistive robots for independently living older adults diagnosed with depression. In International Conference on Human Aspects of IT for the Aged Population, pages 104–114. Springer, 2015. ISBN 978-3-319-20891-6. doi: 10.1007/978-3-319-20892-311. URL https://doi.org/10.1007/978-3-319-20892-3_11.Google Scholar

Sacks, Harvey, Schegloff, Emanuel A., and Jefferson, Gail. A simplest systematics for the organization of turn-taking for conversation. Language, 4:696–735, 1974. doi: 10.2307/412243. URL https://doi.org/10.2307/412243.Google Scholar

Saerbeck, Martin and Bartneck, Christoph. Perception of affect elicited by robot motion. In 5th ACM/IEEE International Conference on Human-Robot Interaction, pages 53–60. ACM, 2010. ISBN 978-1-4244-4893-7. doi: 10.1145/1734454. 1734473. URL https://doi.org/10.1145/1734454.1734473.Google Scholar

Saerbeck, Martin, Schut, Tom, Bartneck, Christoph, and Janse, Maddy. Expressive robots in education—varying the degree of social supportive behavior of a robotic tutor. In 28th ACM Conference on Human Factors in Computing Systems (CHI2010), pages 1613–1622. ACM, 2010. ISBN 978-1-60558-929-9. doi: 10.1145/1753326.1753567. URL https://doi.org/10.1145/1753326.1753567.Google Scholar

Sakamoto, Daisuke, Kanda, Takayuki, Ono, Tetsuo, Ishiguro, Hiroshi, and Hagita, Norihiro. Android as a telecommunication medium with a human-like presence. In 2nd ACM/IEEE International Conference on Human-Robot Interaction, pages 193–200. IEEE, 2007. ISBN 978-1-59593-617-2. doi: 10.1145/1228716.1228743. URL https://doi.org/10.1145/1228716.1228743.Google Scholar

Salem, Maha, Eyssel, Friederike, Rohlfing, Katharina, Kopp, Stefan, and Joublin, Frank. To err is human (-like): Effects of robot gesture on perceived anthropomorphism and likability. International Journal of Social Robotics, 5(3):313– 323, 2013. doi: 10.1007/s12369-013-0196-9. URL https://doi.org/10.1007/ s12369–013-0196-9.Google Scholar

Salvini, P., Ciaravella, G., Yu, W., Ferri, G., Manzi, A., Mazzolai, B., Laschi, C., Oh, S. R., and Dario, P.. How safe are service robots in urban environments? Bullying a robot. In 19th International Symposium in Robot and Human Interactive Communication, pages 368–374, 2010. ISBN 978-1-4244-7991-7. doi: 10.1109/ROMAN.2010.5654677. URL http://dx.doi.org/10.1109/ROMAN.2010.5654677.Google Scholar

Sanghvi, Jyotirmay, Castellano, Ginevra, Leite, Iolanda, Pereira, André, McOwan, Peter W, and Paiva, Ana. Automatic analysis of affective postures and body motion to detect engagement with a game companion. In 6th ACM/IEEE International Conference on Human-Robot Interaction, pages 305–311. IEEE, 2011. ISBN 978-1-4503-0561-7. doi: 10.1145/1957656.1957781. URL https://doi.org/10.1145/1957656.1957781.Google Scholar

Sargent, Porter Edward. The new immoralities: Clearing the way for a new ethics. Porter Sargent, Boston, MA, 2013. ISBN 978-1258541880. URL http://www.worldcat.org/oclc/3794581.Google Scholar