Hostname: page-component-7479d7b7d-8zxtt Total loading time: 0 Render date: 2024-07-09T03:23:20.840Z Has data issue: false hasContentIssue false
  • English
  • Français

A New Method of Human Response Testing to Enhance the Design Process

Part of: ICT for Design

Published online by Cambridge University Press:  26 July 2019

Saleh Kalantari

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

This paper presents a new method of human-response testing to enhance the success of designs. Rather than waiting until after a building is constructed to see how the design will affect human users, we developed a high-resolution virtual-reality platform to present design variations to the study participants. This technique allowed us to make very precise adjustments in design variables (e.g., the ceiling height, or the placement of windows) within the same overall structure, thereby obtaining more empirically rigorous comparisons than is possible in traditional post-occupancy studies of completed buildings. In addition, this approach allowed us to collect a variety of biometric data, such as EEG signals, heart rate, head motions, and other indicators of attention and stress, while the study participants interacted with the virtual environments. The overall outcome of this research method will be to improve the human quality of the built environment and to promote data-driven innovation in the design field.

Keywords

Virtual realityHuman-centred DesignComputational design methodsDesign process
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 1883 - 1892
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Banaei, M., Yazdanfar, A., Nooreddin, M. and Yoonessi, A. (2015), “Enhancing urban trails design quality by using electroencephalography device”, Procedia Social and Behavioral Sciences Vol. 201, pp. 386–396.Google Scholar
Banaei, M., Hatami, J., Yazdanfar, A. and Gramann, K. (2017), “Walking through architectural spaces: the impact of interior forms on human brain dynamics. Frontiers in human neuroscience, Vol. 11, p. 477.Google Scholar
Choo, H., Nasar, J. L., Nikrahei, B. and Walther, D. B. (2017), “Neural codes of seeing architectural styles”, Scientific reports, Vol. 7 No. 40201, pp. 1–8.Google Scholar
Davis, A.S. and D'Amato, R.C. eds. (2010), Handbook of pediatric neuropsychology. Springer Publishing Company.Google Scholar
Gramann, K., Ferris, D.P., Gwin, J. and Makeig, S. (2014), “Imaging natural cognition in action”, International Journal of Psychophysiology, Vol. 91 No. 1, pp. 22–29.Google Scholar
Gupta, R. K., Belkadi, F., Buergy, C., Bitte, F., Da Cunha, C., Buergin, J., … and Bernard, , A. (2018), “Gathering, evaluating and managing customer feedback during aircraft production”, Computers & industrial engineering, Vol. 115, pp. 559–572.Google Scholar
Hamilton, D.K., Peavey, E. and Pentecost, R. (2010), “Examining barriers to adoption of an evidence-based practice model”, Paper presented at the Environmental Design Research Association's Policy and the Environment Conference, Washington D.C., 2010.Google Scholar
Kalantari, S. (2017), “A digital pre-occupancy architectural toolset for reducing stress levels in urban environments”. GSTF Journal of Engineering Technology (JET), Vol. 4 No. 1, pp. 8–12.Google Scholar
Kalantari, S., Shepley, M.M., Rybkowski, Z.K. and Bryant, J. (2017), “Designing for operational efficiency: facility managers’ perspectives on how their knowledge can be better incorporated during design”, Architectural Engineering and Design Management, Vol. 13 No. 6, pp. 457–478.Google Scholar
Kalantari, S. and Snell, R. (2017), “Post-Occupancy Evaluation of a Mental Healthcare Facility Based on Staff Perceptions of Design Innovations”. HERD: Health Environments Research & Design Journal, Vol. 10 No. 4, pp. 121–135.Google Scholar
Küller, R., Mikellides, B. and Janssens, J. (2009), “Color, arousal, and performance: A comparison of three experiments”, Color Research and Application, Vol. 34, pp. 141–152.Google Scholar
Lezak, M.D., Howieson, D.B., Loring, D.W. and Fischer, J.S. (2004), “Neuropsychological assessment”, Oxford: Oxford University Press, USA.Google Scholar
Li, D. and Sullivan, W.C. (2016), “Impact of views to school landscapes on recovery from stress and mental fatigue”, Landscape and urban planning, Vol. 148, pp. 149–158.Google Scholar
Luu, T.P., Nakagome, S., He, Y. and Contreras-Vidal, J.L. (2017), “Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking”. Scientific reports, Vol. 7 No. 1, p. 8895.Google Scholar
Roe, J. J., Aspinall, P. A., Mavros, P. and Coyne, R. (2013), “Engaging the brain: The impact of natural versus urban scenes using novel EEG methods in an experimental setting”, Environmental Science, Vol. 1, 93–104.Google Scholar
Sharma, N. and Gedeon, T. (2012), “Objective measures, sensors and computational techniques for stress recognition and classification: A survey”. Computer methods and programs in biomedicine, Vol. 108 No. 3, pp. 1287–1301.Google Scholar
Shemesh, A., Talmon, R., Karp, O., Amir, I., Bar, M. and Grobman, Y. J. (2017), “Affective response to architecture–investigating human reaction to spaces with different geometry”, Architectural Science Review, Vol. 60 No. 2, pp. 116–125.Google Scholar
Shin, Y.B., Woo, S.H., Kim, D.H., Kim, J., Kim, J.J. and Park, J.Y. (2015), “The effect on emotions and brain activity by the direct/indirect lighting in the residential environment”. Neuroscience letters, Vol. 584, pp. 28–32.Google Scholar
Sternberg, E. M. (2010), Healing spaces: The science of place and well-being. Harvard University Press, Cambridge, MA.Google Scholar
Vartanian, O., Navarrete, G., Chatterjee, A., Fich, L.B., Gonzalez-Mora, J.L., Leder, H., Modrono, C., Nadal, M., Rostrup, N. and Skov, M. (2015), “Architectural design and the brain: effects of ceiling height and perceived enclosure on beauty judgments and approach-avoidance decisions”. Journal of environmental psychology, Vol. 41, pp. 10–18.Google Scholar