Hostname: page-component-77c89778f8-rkxrd Total loading time: 0 Render date: 2024-07-18T06:22:55.806Z Has data issue: false hasContentIssue false
  • English
  • Français

Designing Human Digital Twins for Behaviour-Changing Therapy and Rehabilitation: A Systematic Review

Published online by Cambridge University Press:  26 May 2022

M. W. Lauer-Schmaltz ,
P. Cash ,
J. P. Hansen  and
A. Maier
M. W. Lauer-Schmaltz*
Affiliation:
Technical University of Denmark, Denmark
P. Cash
Affiliation:
Technical University of Denmark, Denmark
J. P. Hansen
Affiliation:
Technical University of Denmark, Denmark
A. Maier
Affiliation:
Technical University of Denmark, Denmark University of Strathclyde, United Kingdom
*
mwola@dtu.dk

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.

One of the most promising trends in healthcare digitalisation is the personalisation and individualisation of therapy based on virtual representations of the human body through Human Digital Twins (HDTs). Despite the growing number of articles on HDTs, to-date no consensus on how to design such systems exists. A systematic literature review for designing HDTs used for behaviour-changing therapy and rehabilitation resulted in eight key design considerations across four themes: regulatory and ethical, transparency and trust, dynamism and flexibility, and behaviour and cognitive mechanisms.

Keywords

digital twinhuman digital twinhealthcare designhuman-centred designbehavioural design
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1303 - 1312
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), 2022.

References

Abeydeera, S.S., Bandaranayake, M., Karunarathna, H.U., Pallewatta, S., Dharmasiri, P., Gunathilake, B., Saparamadu, S., et al. . (2019), “Smart Mirror with Virtual Twin”, 2019 International Conference on Advancements in Computing (ICAC). 10.1109/ICAC49085.2019.9103335Google Scholar
Adamenko, D., Kunnen, S. and Nagarajah, A. (2020), “Comparative Analysis of Platforms for Designing a Digital Twin”, Lecture Notes in Mechanical Engineering, Springer, Cham, pp. 3–12. 10.1007/978-3-030-50794-7-1Google Scholar
Angulo, C., Gonzalez-Abril, L., Raya, C. and Ortega, J.A. (2020), “A Proposal to Evolving Towards Digital Twins in Healthcare”, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12108 LNBI, Springer, pp. 418–426. 10.1007/978-3-030-45385-5_37Google Scholar
Angulo, C., Ortega, J.A. and Gonzalez-Abril, L. (2019), “Towards a Healthcare Digital Twin”, CCIA 2019.Google Scholar
Barricelli, B.R., Casiraghi, E. and Fogli, D. (2019), “A survey on digital twin: Definitions, characteristics, applications, and design implications”, IEEE Access, Institute of Electrical and Electronics Engineers Inc. 10.1109/ACCESS.2019.2953499Google Scholar
Barricelli, B.R., Casiraghi, E., Gliozzo, J., Petrini, A. and Valtolina, S. (2020), “Human Digital Twin for Fitness Management”, IEEE Access, Institute of Electrical and Electronics Engineers Inc., Vol. 8, pp. 26637–26664. 109/ACCESS.2020.2971576Google Scholar
Bay Brix Nielsen, C., Daalhuizen, J. and Cash, P. (2021), “Defining the Behavioural Design Space”, International Journal of Design, Vol. 15:1, available at: http://www.ijdesign.org/index.php/IJDesign/article/view/3922.Google Scholar
Calderita, L. v., Vega, A., Barroso-Ramírez, S., Bustos, P. and Núñez, P. (2020), “Designing a cyber-physical system for ambient assisted living: A use-case analysis for social robot navigation in caregiving centers”, Sensors (Switzerland), MDPI AG, Vol. 20 No. 14, pp. 1–25. 10.3390/s20144005Google ScholarPubMed
Comito, C., Forestiero, A. and Papuzzo, G. (2019), “Exploiting social media to enhance clinical decision support”, Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence Workshops, WI 2019 Companion, Association for Computing Machinery, Inc, pp. 244–249. 10.1145/3358695.3360899Google Scholar
Erol, T., Mendi, A.F. and Dogan, D. (2020a), “The Digital Twin Revolution in Healthcare”, 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc. 10.1109/ISMSIT50672.2020.9255249CrossRefGoogle Scholar
Erol, T., Mendi, A.F. and Dogan, D. (2020b), “Digital Transformation Revolution with Digital Twin Technology”, 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc. 10.1109/ISMSIT50672.2020.9254288Google Scholar
Fuller, A., Fan, Z., Day, C. and Barlow, C. (2020), “Digital Twin: Enabling Technologies, Challenges and Open Research”, IEEE Access, Institute of Electrical and Electronics Engineers Inc., Vol. 8, pp. 108952–108971. 10.1109/ACCESS.2020.2998358Google Scholar
Díaz, Gámez, Yu, R., Ding, Q., Laamarti, Y., F. and el Saddik, A. (2020), “Digital twin coaching for physical activities: A survey”, Sensors (Switzerland), MDPI AG, 2 October. 10.3390/s20205936Google Scholar
Gimpel, H., Nißen, M. and Görlitz, R. (2013), “Quantifying the Quantified Self: A Study on the Motivations of Patients to Track Their Own Health.”, International Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design, Vol. 4.Google Scholar
Grieves, M. and Vickers, J. (2017), “Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems”, pp. 85–113. 10.1007/978-3-319-38756-7_4Google Scholar
Hafez, W. (2019), “Human digital twin: Enabling human-multi smart machines collaboration”, Advances in Intelligent Systems and Computing, Vol. 1038, Springer Verlag, pp. 981–993. 10.1007/978-3-030-29513-4_72CrossRefGoogle Scholar
Laamarti, F., Badawi, H.F., Ding, Y., Arafsha, F., Hafidh, B. and Saddik, A. el. (2020), “An ISO/IEEE 11073 Standardized Digital Twin Framework for Health and Well-Being in Smart Cities”, IEEE Access, Institute of Electrical and Electronics Engineers Inc., Vol. 8, pp. 105950–105961. 10.1109/ACCESS.2020.2999871Google Scholar
Lee, Y.-Y. and Lin, J.L. (2011), “How much does trust really matter? A study of the longitudinal effects of trust and decision-making preferences on diabetic patient outcomes”, Patient Education and Counseling, Vol. 85 No. 3, pp. 406–412. 10.1016/j.pec.2010.12.005Google Scholar
Liu, Y., Zhang, L., Yang, Y., Zhou, L., Ren, L., Wang, F., Liu, R., et al. . (2019), “A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin”, IEEE Access, Institute of Electrical and Electronics Engineers Inc., Vol. 7, pp. 49088–49101. 10.1109/ACCESS.2019.2909828Google Scholar
Lutze, R. (2020), “Digital Twin Based Software Design in eHealth – A New Development Approach for Health / Medical Software Products”, 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). 10.1109/ICE/ITMC49519.2020.9198546Google Scholar
de Maeyer, C. and Markopoulos, P. (2020), “Are Digital Twins Becoming Our Personal (Predictive) Advisors?: ‘Our Digital Mirror of Who We Were, Who We Are and Who We Will Become’”, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12208 LNCS, Springer, pp. 250–268. 10.1007/978-3-030-50249-2_19Google Scholar
Michie, S., Ashford, S., Sniehotta, F., Dombrowski, S., Bishop, A. and French, D. (2011), “A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy”, Psychology & Health, 26:11, 1479–1498, available at: 10.1080/08870446.2010.540664Google ScholarPubMed
Mohapatra, S. and Bose, S. (2020), “An appraisal of literature for design and implementation of developing a framework for digital twin and validation through case studies”, Health and Technology, pp. 1229–1237. 10.1007/s12553-020-00443-4Google Scholar
Page, M.J., Moher, D., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., Shamseer, L., et al. (2021), “PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews”, British Medical Journal, BMJ Publishing Group, Vol. 372. 10.1136/bmj.n160Google Scholar
Patou, F. and Maier, A. (2017), “Engineering Value-Effective Healthcare Solutions: A Systems Design Perspective”, Proceedings of the 21st International Conference on Engineering Design (ICED17), Vol. 3: Product, Services and Systems Design, Design Society, pp. 31–41.Google Scholar
Petrova-Antonova, D., Spasov, I., Krasteva, I., Manova, I. and Ilieva, S. (2020), “A Digital Twin Platform for Diagnostics and Rehabilitation of Multiple Sclerosis”, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12249 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 503–518. 10.1007/978-3-030-58799-4_37Google Scholar
Pizzolato, C., Saxby, D.J., Palipana, D., Diamond, L.E., Barrett, R.S., Teng, Y.D. and Lloyd, D.G. (2019), “Neuromusculoskeletal modeling-based prostheses for recovery after spinal cord injury”, Frontiers in Neurorobotics, Frontiers Media S.A., Vol. 13. 10.3389/fnbot.2019.00097Google Scholar
Rivera, L.F., Jiménez, M., Angara, P., Villegas, N.M., Tamura, G. and Müller, H.A. (2019), “Towards Continuous Monitoring in Personalized Healthcare through Digital Twins”, Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, IBM Corp., USA, pp. 329–335. 10.5555/3370272.3370310Google Scholar
Saddik, A. el. (2018), “Digital Twins: The Convergence of Multimedia Technologies”, IEEE MultiMedia, Vol. 25, pp. 87–92. 10.1109/MMUL.2018.023121167Google Scholar