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SUSTAINING BEHAVIOUR CHANGE THROUGH IMMERSIVE TECHNOLOGIES: TRENDS, PERSPECTIVES, AND APPROACHES

Published online by Cambridge University Press:  27 July 2021

Maximilian Wittmann ,
Philip Cash ,
Milton Mariani ,
Anja Maier  and
John Paulin Hansen
Maximilian Wittmann
Affiliation:
DTU
Philip Cash*
Affiliation:
DTU
Milton Mariani
Affiliation:
DTU
Anja Maier
Affiliation:
DTU
John Paulin Hansen
Affiliation:
DTU
*
Cash, Philip, DTU Technical University of Denmark, DTU Management, Denmark, pcas@dtu.dk

Abstract

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Long-term behaviour changes are critical to answering societal and individual challenges surrounding areas such as sustainability and health. Current understanding of how to bring about sustained behaviour is focused on the identification of Behaviour Change Techniques (BCTs) without explicit guidance on how these should be matched with technological solutions. Based on this gap we set out to answer the research question: What is the relationship between BCTs and interactive immersive technologies with respect to long-term, sustainable behaviour? To this end, we report a literature review on technology trends in the fields of human computer interaction, human robot interaction, and game design. Based on this review we develop three main contributions with implications for design theory and practice. First, we propose a number of characteristics and mechanisms in emerging immersive technologies. Second, we highlight technological pathways connected to specific BCT clusters likely to be disrupted: technology as a conveyor of information, an augmenter of feedback, and as an embodiment of empathy. Third, we explore these connections between BCT clusters and the actual technological interventions.

Keywords

Design for interfacesHuman behaviour in designVirtual realityLong-term AdherenceHealthcare Technology
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2891 - 2900
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), 2021. Published by Cambridge University Press

References

Ahn, S.J., Fox, J. and Bailenson, J.N. (2012), “Avatars”, in Bainbridge, W.S. (Ed.), Leadership in Science and Technology: A Reference Handbook, SAGE Publications, Inc.Google Scholar
BEHAVE. (n.d.). “Behavior Depends on Consequences”, Behavioural Principles and Practices, No. 1.1.1.Google Scholar
Bohlen, L.C., Michie, S., de Bruin, M., Rothman, A.J., Kelly, M.P., Groarke, H.N.K., Carey, R.N., et al. (2020), “Do Combinations of Behavior Change Techniques That Occur Frequently in Interventions Reflect Underlying Theory?”, Annals of Behavioral Medicine, Vol. 54 No. 11, pp. 827–842.10.1093/abm/kaaa078CrossRefGoogle ScholarPubMed
Cash, P., Khadilkar, P., Jensen, J., Dusterdich, C. and Mugge, R. (2020), “Designing behaviour change: A behavioural problem/solution (BPS) matrix”, International Journal of Design, Vol. 14 No. 2, pp. 65–83.Google Scholar
Cash, P.J., Hartlev, C.G. and Durazo, C.B. (2017), “Behavioural design: A process for integrating behaviour change and design”, Design Studies, Vol. 48, pp. 96–128.CrossRefGoogle Scholar
Cavazza, M., Charles, F. and Mead, S.J. (2003), “Interactive Storytelling: From Ai Experiment To New Media”, Proceedings of the International Conference on Entertainment Computing (ICEC'03), pp. 1–8.Google Scholar
Chen, Y., Wang, Q., Chen, H., Song, X., Tang, H. and Tian, M. (2019), “An overview of augmented reality technology”, Journal of Physics: Conference Series, Vol. 1237 No. 2,.Google Scholar
Cheng Chia, G.L., Anderson, A. and McLean, L.A. (2019), “Behavior change techniques incorporated in fitness trackers: Content analysis”, JMIR MHealth and UHealth, Vol. 7 No. 7, https://doi.org/10.2196/12768.Google Scholar
Cicek, M. (2015), “Wearable Technologies And Its Future Applications”, International Journal of Electrical, Electronics and Data Communication, Vol. 3 No. 4, pp. 45–50.Google Scholar
Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly: Management Information Systems, Vol. 13 No. 3, pp. 319–340.CrossRefGoogle Scholar
Dirksen, J., DiTommaso, D. and Plunkett, C. (2019), “Augmented and Virtual Reality for Behavior Change”, The ELearning Guild.Google Scholar
Egenfeldt-Nielsen, S., Smith, J.H. and Tosca, S.P. (2019), Understanding Video Games: The Essential Introduction, Routledge.10.4324/9780429431791CrossRefGoogle Scholar
Ersner-Hershfield, H., Bailenson, J., & Carstensen, L.. (2008), “Feeling more connected to your future self”, Association for Psychological Science Annual Convention, Chicago, IL.Google Scholar
Fogg, B. (2009a), “Creating persuasive technologies”, Persuasive ’09: Proceedings of the 4th International Conference on Persuasive Technology, pp. 1–6.10.1145/1541948.1542005CrossRefGoogle Scholar
Fogg, B. (2009b), “A behavior model for persuasive design”, ACM International Conference Proceeding Series,CrossRefGoogle Scholar
Fogg, B.J. and Hreha, J. (2010), “Behavior Wizard: A Method for Matching Target Behaviors with Solutions”, PERSUASIVE 2010: Persuasive Technology, pp. 117–131.Google Scholar
Glanz, K. and Bishop, D.B. (2010), “The role of behavioral science theory in development and implementation of public health interventions”, Annual Review of Public Health, Vol. 31, pp. 399–418.10.1146/annurev.publhealth.012809.103604CrossRefGoogle ScholarPubMed
Gupta, A., Hathwar, D. and Vijayakumar, A. (2020), “Introduction to AI Chatbots”, International Journal of Engineering Research and Technology, Vol. 9 No. 7, pp. 255–258.Google Scholar
Haag, S. and Anderl, R. (2018), “Digital twin – Proof of concept”, Manufacturing Letters, pp. 64–66.10.1016/j.mfglet.2018.02.006CrossRefGoogle Scholar
Halaweh, M. (2013), “Emerging technology: What is it?”, Journal of Technology Management and Innovation, Vol. 8 No. 3, https://doi.org/10.4067/s0718-27242013000400010.CrossRefGoogle Scholar
Janevic, M.R. and Connell, C.M. (2019), “Individual Theories”, in Hilliard, M.E., Riekert, K.A., Ockene, J.K. and Pbert, L. (Eds.), The Handbook of Health Behavior Change, 5th ed., Springer Publishing Company,Google Scholar
Kelders, S.M., Kok, R.N., Ossebaard, H.C. and Van Gemert-Pijnen, J.E.W.C. (2012), “Persuasive system design does matter: A systematic review of adherence to web-based interventions”, Journal of Medical Internet Research, Vol. 14 No. 6, https://doi.org/10.2196/jmir.2104.CrossRefGoogle ScholarPubMed
Khadilkar, P.R. and Cash, P. (2020), “Understanding behavioural design: barriers and enablers”, Journal of Engineering Design, pp. 1–22.Google Scholar
Klasnja, P., Consolvo, S. and Pratt, W. (2011), “How to evaluate technologies for health behavior change in HCI research”, Conference on Human Factors in Computing Systems - Proceedings, https://doi.org/10.1145/1978942.1979396.CrossRefGoogle Scholar
Kundalakesi, M., Swathi, T., Ashapriya, B. and Sruthi, R. (2017), “A Study of Virtual Reality”, International Journal of Trend in Research and Development, Vol. 4 No. 3, pp. 374–377.Google Scholar
Kwasnicka, D., Dombrowski, S.U., White, M. and Sniehotta, F. (2016), “Theoretical explanations for maintenance of behaviour change: a systematic review of behaviour theories”, Health Psychology Review, Vol. 10 No. 3, pp. 277–296.CrossRefGoogle ScholarPubMed
Mehmood, F. and Saqib, K. (2014), “An Overview on Speech Recognition System and Comparative Study of its Approaches”, International Conference on Engineering & Emerging Technologies (ICEET-2014), University, Superior, Lahore.Google Scholar
Michie, S., Atkins, L. and West, R. (2014), The Behaviour Change Wheel: A Guide to Designing Interventions, The Behavior Change Wheel: Book Launch Event.Google Scholar
Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M.P., et al. (2013), “The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions”, Annals of Behavioral Medicine, Vol. 46 No. 1, pp. 81–95.10.1007/s12160-013-9486-6CrossRefGoogle ScholarPubMed
Milgram, P. and Kishino, F. (1994), “Taxonomy of mixed reality visual displays”, IEICE Transactions on Information and Systems, pp. 1321–1329.Google Scholar
Naslund, J.A., Aschbrenner, K.A., Kim, S.J., McHugo, G.J., Unützer, J., Bartels, S.J. and Marsch, L.A. (2017), “Health behavior models for informing digital technology interventions for individuals with mental illness.”, Psychiatric Rehabilitation Journal, Vol. 40 No. 3, pp. 325–335.10.1037/prj0000246CrossRefGoogle ScholarPubMed
Nicholson, J., B Nicholson, D. and S. Valacich, J. (2008), “Examining the Effects of Technology Attributes on Learning: A Contingency Perspective”, Journal of Information Technology Education: Research, Vol. 7, pp. 185–204.Google Scholar
Nowak, K.L. and Fox, J. (2018), “Avatars and computer-mediated communication: A review of the definitions, uses, and effects of digital representations”, Review of Communication Research, Vol. 6, pp. 30–53.CrossRefGoogle Scholar
De Oliveira, E.C., Bertrand, P., Lesur, M.E.R., Palomo, P., Demarzo, M., Cebolla, A., Banos, R., et al. (2016), “Virtual Body Swap: A New Feasible Tool to Be Explored in Health and Education”, Proceedings - 18th Symposium on Virtual and Augmented Reality, SVR 2016, pp. 1–9.CrossRefGoogle Scholar
Pavithra, A. (2020), “An Emerging Immersive Technology-A Survey”, Ijirt, Vol. 6 No. 8, pp. 119–130.Google Scholar
Petsani, D., Kostantinidis, E.I. and Bamidis, P.D. (2018), “Designing an E-coaching system for older people to increase adherence to exergame-based physical activity”, ICT4AWE 2018 - Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-HealthCrossRefGoogle Scholar
Prochaska, J.O., Johnson, S. and Lee, P. (1998), “The transtheoretical model of behavoir change”, in Shumaker, S.A., Schron, E.B., Ockene, J.K. and McBee, W.L., Handbook of Health Behavior Change, pp. 59–84.Google Scholar
Rapp, A., Tirassa, M., & Tirabeni, L. (2019). Rethinking technologies for behavior change: A view from the inside of Human change. ACM Transactions on Computer-Human Interaction, 26(4).CrossRefGoogle Scholar
Shih, J.J., Krusienski, D.J. and Wolpaw, J.R. (2012), “Brain-computer interfaces in medicine”, Mayo Clinic Proceedings, Vol. 87 No. 3, pp. 268–279.10.1016/j.mayocp.2011.12.008CrossRefGoogle ScholarPubMed
Snyder, H. (2019), “Literature review as a research methodology: An overview and guidelines”, Journal of Business Research, Vol. 104, pp. 333–339.10.1016/j.jbusres.2019.07.039CrossRefGoogle Scholar
Sony, M. and Mekoth, N. (2018), “A qualitative study on electricity energy-saving behaviour”, Management of Environmental Quality: An International Journal, Vol. 29 No. 5,CrossRefGoogle Scholar
Steuer, J. (1992), “Defining Virtual Reality: Dimensions Determining Telepresence”, Journal of Communication, Vol. 42 No. 4, pp. 73–83.CrossRefGoogle Scholar
Thorpe, J.R., Forchhammer, B.H. and Maier, A.M. (2019), “Development of a sensor-based behavioral monitoring solution to support dementia care”, Journal of Medical Internet Research, Vol. 7 No. 6, https://doi.org/10.2196/12013.Google ScholarPubMed
Thorpe, J.R., Rønn-Andersen, K.V.H., Bień, P., Özkil, A.G., Forchhammer, B.H. and Maier, A.M. (2016), “Pervasive assistive technology for people with dementia: A UCD case”, Healthcare Technology Letters, Vol. 3 No. 4, pp. 297–302.CrossRefGoogle ScholarPubMed
Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003), “User acceptance of information technology: Toward a unified view”, MIS Quarterly: Management Information Systems, Vol. 27 No. 3, pp. 425–478.10.2307/30036540CrossRefGoogle Scholar
Wang, Y., Fadhil, A., Lange, J.P. and Reiterer, H. (2019), “Integrating taxonomies into theory-based digital health interventions for behavior change: A holistic framework”, Journal of Medical Internet Research, Vol. 8 No. 1, https://doi.org/10.2196/resprot.8055.Google ScholarPubMed
Yao, M., Chen, J., Jing, J., Sheng, H., Tan, X. and Jin, J. (2017), “Defining the rehabilitation adherence curve and adherence phases of stroke patients: An observational study”, Patient Preference and Adherence, Vol. 11, pp. 1435–1441.10.2147/PPA.S139854CrossRefGoogle ScholarPubMed