Behavioural design explained

Behavioural design is a sub-category of design, which is concerned with how design can shape, or be used to influence human behaviour.[1] [2] All approaches of design for behaviour change acknowledge that artifacts have an important influence on human behaviour and/or behavioural decisions. They strongly draw on theories of behavioural change, including the division into personal, behavioural, and environmental characteristics as drivers for behaviour change.[2] Areas in which design for behaviour change has been most commonly applied include health and wellbeing, sustainability, safety and social context, as well as crime prevention.

History

Design for behaviour change developed from work on design psychology (also: behavioural design) conducted by Don Norman in the 1980s.[3] Norman’s ‘psychology of everyday things’ introduced concepts from ecological psychology and human factors research to designers, such as affordances, constraint feedback and mapping. They have provided guiding principles with regard to user experience and the intuitive use of artefacts, although this work did not yet focus specifically on influencing behavioural change.

The models that followed Norman’s original approach became more explicit about influencing behaviour, such as emotion design[4] and persuasive technology.[5] Perhaps since 2005, a greater number of theories have developed that explicitly address design for behaviour change. These include a diversity of theories, guidelines and toolkits for behaviour change (discussed below) covering the different domains of health, sustainability, safety, crime prevention and social design. With the emergence of the notion of behaviour change, a much more explicit discussion has also begun about the deliberate influence of design although a review of this area from 2012[6] has identified that a lack of common terminology, formalized research protocols and target behaviour selection are still key issues. Key issues are the situations in which design for behaviour change could or should be applied; whether its influence should be implicit or explicit, voluntary or prescriptive; and of the ethical consequences of one or the other.

Issues of behaviour change

In 1969, Herbert Simon's understanding of design as "devising courses of action to change existing situations into preferred ones" acknowledged its capacity to create change.[7] Since then, the role of design in influencing human behaviour has become much more widely acknowledged.[8] [9] [10] [11] It is further recognised that design in its various forms, whether as objects, services, interiors, architecture and environments, can create change that is both desirable as well as undesirable, intentional and unintentional.

Desirable and undesirable effects are often closely intertwined whereby the first is usually intentionally designed, while the latter might be an unintentional effect. For example, the impact of cars has been profound in enhancing social mobility on the one hand, while transforming cities and increasing resource demand and pollution on the other. The first is generally regarded as a positive effect. The impact of associated road building on cities, however, has largely had a detrimental impact on the living environment. Furthermore, resource use and pollution associated with cars and their infrastructure have prompted a rethinking of human behaviour and the technology used, as part of the sustainable design movement, resulting for example in schemes promoting less travel or alternative transport such as trains and bike riding. Similar effects, sometimes desirable, sometimes undesirable can be observed in other areas including health, safety and social spheres. For example, mobile phones and computers have transformed the speed and social code of communication, leading not only to an increased ability to communicate, but also to an increase in stress levels with a wide range of health impacts[12] and to safety issues.[13]

Taking lead from Simon, it could be argued that designers have always attempted to create "preferable" situations. However, recognising the important but not always benevolent role of design, Jelsma emphasises that designers need to take moral responsibility for the actions which take place with artefacts as a result of humans interactions:In response, design for behaviour change acknowledges this responsibility and seeks to put ethical behaviour and goals higher on the agenda. To this end, it seeks to enable consideration for the actions and services associated with any design, and the consequences of these actions, and to integrate this thinking into the design process.

Approaches

To enable the process of behavioural change through design, a range of theories, guidelines and tools have been developed to promote behaviour change that encourages pro-environmental and social actions and lifestyles from designers as well as user.

Theories

Critical discussion

Design for behaviour change is an openly value-based approach that seeks to promote ethical behaviours and attitudes within social and environmental contexts. This raises questions about whose values are promoted and to whose benefit. While intrinsically seeking to promote socially and environmentally ethical practices, there are two possible objections:The first is that such approaches can be seen a paternalistic, manipulative and disenfranchising where decisions about the environment are being made by one person or group for another with or without consultation.[30] The second objection is that this approach can be abused, for example in that apparently positive goals of behaviour change might be made simply to serve commercial gain without regard for the envisaged ethical concerns.The debate about the ethical considerations of design for behaviour change is still emerging, and will develop with the further development of the field.

When designing for behavior change, the misapplication of behavioral design can trigger backfires, when they accidentally increasing the bad behavior they were originally designed to reduce. Given the stigma of triggering bad outcomes, researchers believe that persuasive backfires effects are common but rarely published, reported, or discussed. [31]

Artificial intelligence in behavior change

The use of 3rd wave AI techniques to achieve behavior change, intensifies the debate over behavior change.[32] These technologies are more effective than previous techniques, but like AI in other fields it is also more opaque to both users and designers.[33] As the field of behavioral design continues to evolve, the role of AI is becoming increasingly prominent, offering new opportunities to create desirable behavioral outcomes across various contexts. In healthcare, innovative methods like PROLIFERATE_AI exemplify a powerful approach to influencing human behavior in targeted and measurable ways.[34] [35] These strategies leverage AI-driven and person-centered feedback mechanisms, such as participatory design, to enhance the evaluation and implementation of health innovations.

See also

Notes and References

  1. Lockton, D., Harrison, D., Stanton, N.A. (2010). The Design with Intent Method: a design tool for influencing user behaviour. Applied Ergonomics, 41 (3), 382-392.
  2. Niedderer, K., Mackrill, J., Clune, S., Lockton, D., Ludden, G., Morris, A., Cain, R., Gardiner, E., Gutteridge, R., Evans, M., Hekkert, P. (2014). Creating Sustainable Innovation through Design for Behaviour Change: Full Project Report. University of Wolverhampton & Project Partners.
  3. Norman, D. A. (1988). The psychology of everyday things. Cambridge: MIT Press.
  4. Desmet, P.M.A., Hekkert, P. (2002). The basis of product emotions. In W. Green and P. Jordan (Eds.), Pleasure with Products, beyond usability. London: Taylor & Francis, 60-68.
  5. Fogg, B.J. (2003). Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufmann, San Francisco.
  6. Zachrisson, J. and Boks, C. (2012). Exploring behavioural psychology to support design for sustainable behaviour research. Journal of Design Research, 10 (1/2): 50- 66.
  7. Simon, H.A. (1969). The science of the artificial, Cambridge, MIT press, p.129.
  8. Brown, T., Wyatt. J. (2010). Design Thinking for Social Innovation. Stanford Social Innovation Review, Winter 2010.
  9. Consolvo, S., Everitt, K., Smith, I., Landay, J.A. (2006). Design requirements for technologies that encourage physical activity. SIGCHI conference on Human Factors in computing systems, ACM.
  10. Fry, T. (2008). Design Futuring: Sustainability, Ethics and New Practice, Oxford, Berg Publishing.
  11. Niedderer, K. (2013). Mindful Design as a Driver for Social Behaviour Change. Proceedings of the IASDR Conference 2013. Tokyo, Japan: IASDR.
  12. Ilstedt Hjelm, S. (2003) Research + Design: The Making of Brainball, Interactions, vol. 10, no. 1, pp. 26-34.
  13. Srivastava, L. (2005). Mobile phones and the evolution of social behaviour. Behaviour & Information Technology, vol. 24, n. 2, pp.111-129.
  14. Lilley, D. (2007). Designing for Behavioural Change: Reducing the Social Impacts of Product Use through Design. PhD Thesis, Loughborough University.
  15. Lilley, D. (2009). Design for sustainable behaviour: strategies and perceptions. Design Studies, 30, 704-720.
  16. Bhamra, T., Lilley, D., Tang, T. (2008). Sustainable Use: Changing consumer behaviour through product design. In: Cipolla, C., Peruccio, P. (eds.) Changing the Change. Torino, Italy: Allemandi Conference Press.
  17. Tang, T. (2010). Towards Sustainable Use: Designing Behaviour Intervention to Reduce Household Environmental Impact. PhD thesis, Loughborough University.
  18. Tang, T., Bhamra, T. (2008). Changing Energy Consumption Behaviour through Sustainable Product Design. International Design Conference 2008. Dubrovnik, Croatia.
  19. Ludden, G.D.S., Hekkert, P. (2014). Design for healthy behavior. Design interventions and stages of change. 9th International Conference on Design and Emotion, Bogota, Colombia.
  20. Langer, E.J. (1989). Mindfulness. New York: Addison Wesley Publishing Company.
  21. Langer, E.J. (2010) Counterclockwise. London, UK: Hodder and Stoughton.
  22. Niedderer, K. (2007). Designing Mindful Interaction: The Category of the Performative Object. Design Issues, 23 (1), 3-17.
  23. Niedderer, K. (2014). Mediating Mindful Social Interactions through Design. In A. Ie, C. T. Ngnoumen and E. Langer (eds.) The Wiley Blackwell Handbook of Mindfulness, vol 1. Wiley, Chichester, UK, 345-366.
  24. Tromp, N., Hekkert, P., Verbeek, P. (2011). Design for socially responsible behaviour: A classification of influence based on intended user experience. Design Issues, 27 (3), 3-19.
  25. Clune, S. (2010). Design for Behavioural Change. Journal of Design Strategies, 4, 68-75
  26. Cugelman, B., Thelwall, M., & Dawes, P. (2011). Online interventions for social marketing health behavior change campaigns: a meta-analysis of psychological architectures and adherence factors. Journal of medical Internet research, 13(1), e17. https://www.jmir.org/2011/1/e17/
  27. Kuijer, L. (2014). Implications of Social Practice Theory for Sustainable Design (PhD), Department of Industrial Design. Delft University of Technology, Delft p. 223.
  28. Scott, K., Quist, J., and Bakker, C., (2009). Co-design, social practices and sustainable innovation: involving users in a living lab exploratory study on bathing, Joint actions on climate change conference, Aalborg, Denmark.
  29. Kursat Ozenc, F. (2014). Modes of Transitions: Designing interactive products for Harmony and Well-Being. Design Issues, 30(2): 30-41.
  30. Thaler, R.H. and Sunstein, C.R. (2008). Nudge: improving decisions about health, wealth and happiness. London, UK: Penguin Books.
  31. Stibe, A., & Cugelman, B. (2016). Persuasive backfiring: when behavior change interventions trigger unintended negative outcomes. In International Conference on Persuasive Technology (pp. 65-77). Springer, Cham. http://hdl.handle.net/1721.1/108479
  32. Book: Elsevier. Artificial Intelligence in Behavioral and Mental Health Care - 1st Edition. www.elsevier.com. 10 September 2015 . 978-0-12-420248-1 .
  33. Web site: AI's brightest minds are still figuring out how to understand their creations — Quartz. Dave. Gershgorn. qz.com. December 7, 2017.
  34. Pinero de Plaza . M. . Lambrakis . K. . Marmolejo Ramos . F. . Beleigoli . A. . Clark . R. . McMillan . P. . Morton . E. . Khan . E. . Visvanathan . R. . Chew . D. . Kitson . A. . Hendriks . J. . Barrera Causil . C. . 2023 . PROLIFERATE_AI: A Prediction Modelling Method to Evaluate Artificial Intelligence in Meeting End-user-centric Goals Around Better Cardiac Care . Heart, Lung and Circulation . en . 32 . S364–S365 . 10.1016/j.hlc.2023.06.833 . Elsevier.
  35. Pinero de Plaza . Maria Alejandra . Yadav . Lalit . Kitson . Alison . 2023-03-31 . Co-designing, measuring, and optimizing innovations and solutions within complex adaptive health systems . Frontiers in Health Services . English . 3 . 10.3389/frhs.2023.1154614 . free . 2813-0146 . 10103186 . 37063372.