skip to main content
10.1145/1753326.1753629acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

The design of eco-feedback technology

Published:10 April 2010Publication History

ABSTRACT

Eco-feedback technology provides feedback on individual or group behaviors with a goal of reducing environmental impact. The history of eco-feedback extends back more than 40 years to the origins of environmental psychology. Despite its stated purpose, few HCI eco-feedback studies have attempted to measure behavior change. This leads to two overarching questions: (1) what can HCI learn from environmental psychology and (2) what role should HCI have in designing and evaluating eco-feedback technology? To help answer these questions, this paper conducts a comparative survey of eco-feedback technology, including 89 papers from environmental psychology and 44 papers from the HCI and UbiComp literature. We also provide an overview of predominant models of proenvironmental behaviors and a summary of key motivation techniques to promote this behavior.

References

  1. Abrahamse, W., Wokje, A., Steg, L., Vlek, C., Rothengatter, T. A review of intervention studies aimed at household energy conservation. J. of Env.Psychology 25, 3(2005), 273--291.Google ScholarGoogle ScholarCross RefCross Ref
  2. Ajzen and M. Fishbein, The prediction of behavior from attitudinal and normative variables, Journal of Experimental Social Psychology 6 (1970), pp. 466--487.Google ScholarGoogle ScholarCross RefCross Ref
  3. Arroyo, E., Bonanni, L., Selker, T. Waterbot: exploring feedback and persuasive techniques at the sink. Proc of CHI '05, ACM Press (2005), 631--639.. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bang, M., Gustafsson, A., Katzeff, C. Promoting new patterns in household energy consumption with pervasive learning games. Persuasive'07, 2007, 55--63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Becker, L.J. Joint Effect of Feedback and Goal Setting on Performance: A Field Study of Residential Energy Conservation. J. of Applied Psychology 63. 4(1978), 428--433.Google ScholarGoogle ScholarCross RefCross Ref
  6. Blevis, E. Sustainable interaction design: invention & disposal, renewal & reuse. Proc. CHI'07, (2007), 503--512. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Brewer, G. and Stern, P. (Eds) Decision Making for the Environment: Social and Behavioral Science Research Priorities, 2005, CHDCG, National Research Council.Google ScholarGoogle Scholar
  8. Cialdini, R.B. Kallgren, C.A. and Reno, R.R., A focus theory of normative conduct: A theoretical refinement and re-evaluation. Adv. in Experimental Social Psychology 24 (1991), 201--234.Google ScholarGoogle ScholarCross RefCross Ref
  9. Consolvo, S., et al. Activity sensing in the wild: a field trial of ubifit garden. Proc. CHI'08, 2008, 1797--1806. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Congressional Budget Office, Effects of Gas Prices on Driving Behavior & Vehicle Markets, US Congress Report, Jan 08.Google ScholarGoogle Scholar
  11. Costanzo, M., Archer, D., Aronson, E., Pettigrew, T. Energy conservation behavior: The difficult path from information to action. American Psychologist 41, 1986, 521--528.Google ScholarGoogle ScholarCross RefCross Ref
  12. Darby, S. Making it obvious: designing feedback into energy consumption. Proc. Energy Efficiency in Household Appliances and Lighting, 2000.Google ScholarGoogle Scholar
  13. Dobson, J.K., & Griffin, J.D. (1992). Conservation effect of immediate electricity cost feedback on residential consumption behavior. Proc. of ACEEE 1992, 33--35.Google ScholarGoogle Scholar
  14. Egan, C. How customers interpret and use comparative displays of their home energy use. Proc. European Council for an Energy-Efficient Economy, 1999. Panel III, 19.Google ScholarGoogle Scholar
  15. Fischer, C. Feedback on household electricity consumption: a tool for saving energy? Energy Efficiency 1, (2008), 79--104Google ScholarGoogle ScholarCross RefCross Ref
  16. Fitzpatrick, G., Smith, G. Technology-enabled feedback on domestic energy consumption: articulating a set of design concerns. Pervasive Computing 8, 1(2009), 37--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Fogg, B.J. Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufmann Publishers, San Francisco, CA, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Fransson, N., & Garling, T. (1999). Environmental concern: Conceptual definitions, measurement methods, and research findings. Journal of Environmental Psychology, 19, 369--382.Google ScholarGoogle Scholar
  19. Froehlich, J., Consolvo, S., et al. UbiGreen: Investigating a Mobile Tool for Tracking and Supporting Green Transportation Habits. Proc. CHI'09, 2009, 1042--1052. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Gardner, G.T. and Stern, P.C. The Short List: The Most Effective Actions US Households Can Take to Curb Climate Change. Environment. September/October 2008.Google ScholarGoogle Scholar
  21. Geller, E.S., et al. A conceptual framework for developing and evaluating behavior change interventions for injury control. Health Education Research 5, 2(1990), 125--137.Google ScholarGoogle ScholarCross RefCross Ref
  22. Geller, E.S., Winett, R.A., & Everett, P.B. Preserving the environment: New strategies for behavior change. New York: Pergamon Press, 1982.Google ScholarGoogle Scholar
  23. Goldstein, N., Cialdini, R., Griskevicius, R. A Room with a Viewpoint: Using Social Norms to Motivate Environmental Conservation in Hotels. J. of Consumer Research 35, (2008), 472--482.Google ScholarGoogle ScholarCross RefCross Ref
  24. Gonzales, M.H., Aronson, E. Using social cognition and persuasion to promote energy conservation: a quasi-experiment. J. of Applied Social Psychology 18, 12(1988), 1049--1066.Google ScholarGoogle ScholarCross RefCross Ref
  25. Gustafsson, A. and Gyllenswärd, M. The power-aware cord: energy awareness through ambient information display. CHI EA '05, 2005, 1423--1426. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Haakana M., et al. The effect of feedback and focused advice on household energy consumption. Proc. ECEEE'97, 1997.Google ScholarGoogle Scholar
  27. Hines, J.M., Hungerford, H., Tomera, A. Analysis and synthesis of research on responsible environmental behavior: a meta-analysis. J. of Environmental Education 18, 2(1986/87), 1--8.Google ScholarGoogle ScholarCross RefCross Ref
  28. Holmes, T.G. Eco-visualization: combining art and technology to reduce energy consumption. Proc. ACM Creativity and Cognition, 2007, 153--162. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Holstius, D., Kembel, J., Hurst, A., Wan, P., Forlizzi, J. Infotropism: living and robotic plants as interactive displays. Proc. DIS'04. DIS '04, 2004, 215--221. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Kim, T., Hong, H., Magerko, B. Coralog: use-aware visualization connecting human micro-activities to environmental change. Proc. CHI EA '09, 2009, 4303--4308. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Kappel, K. Grechenig, T. "show-me": water consumption at a glance to promote water conservation in the shower. Proc. Persuasive '09, 2009, 1--6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Keirstead, J. Behavioural responses to photovoltaic systems in the UK domestic sector. Energy Policy 35 (2007), 4128--4141.Google ScholarGoogle ScholarCross RefCross Ref
  33. Kohlenberg, R., Phillips, T, Proctor, W. A behavioral analysis of peaking in residential electrical-energy consumers. J. Applied Behavior Analysis 9, 1(1976), 13--18.Google ScholarGoogle ScholarCross RefCross Ref
  34. Kollmus, A, Agyeman, J. Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior? J. Environmental Education 8, 3(2002), 239--260.Google ScholarGoogle Scholar
  35. Lester, J., Choudhury, T., Borriello, G. A practical approach to recognizing physical activities. Pervasive'06, 2006, 1--16. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Lin, J. Energy conservation investments: A comparison between China & the US. Energy Policy, 35 (2007), 916--924.Google ScholarGoogle ScholarCross RefCross Ref
  37. Locke, E. & Latham, G. (2002). Building a Practically Useful Theory of Goal Setting and Task Motivation, a 35-Year Odyssey. American Psychologist 57, 9(2002), 705--717.Google ScholarGoogle Scholar
  38. Mankoff, J., Matthews, D., Fussell, Susan, R. Johnson, M. Leveraging social networks to motivate individuals to reduce their ecological footprints. Proc. HICSS'07, 2007, 87--96. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. McCalley, L. & Midden, C. Computer based systems in household appliances: The study of ecofeedback as a tool for increasing conservation behavior. Proc.APCHI, (1998), 344--349. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. McCalley, L. & Midden, C. Energy conservation through product-integrated feedback: the roles of goal-setting and social orientation. J. of Economic Psychology 23, (2002), 589--603.Google ScholarGoogle ScholarCross RefCross Ref
  41. Pallak, M.S., Cummings, W. Commitment and voluntary energy conservation. Personality and Social Psychology Bulletin 2, 1(1976), 27--30.Google ScholarGoogle ScholarCross RefCross Ref
  42. Paulos, E., Jenkins, T. Jetsam: exposing our everyday discarded objects. Demo Ubicomp'06, 2006, 2 pages.Google ScholarGoogle Scholar
  43. Pierce, J., Odom, W., Blevis, E. Energy Aware Dwelling: A Critical Survey of Interaction Design for Eco-Visualizations. Proc. OZCHI '08, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Pousman, Z., Rouzati, H., Stasko, J. Imprint, a Community Visualization of Printer Data: Designing for Open-ended Engagement on Sustainability. Proc. CSCW'08, 4 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Petersen, D., Steele, J., and Wilkerson, J. WattBot: a residential electricity monitoring and feedback system. CHI'09 EA'09, 2009, 2847--2852. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Prochaska J., DiClemente C. Toward a comprehensive model of change. In: Miller WR, Heather N, eds. Treating addictive behaviors: processes of change. NY: Plenum Press; 1986. 3--27.Google ScholarGoogle Scholar
  47. Schwartz, S. H. (1977). Normative influence on altruism. In L. Berkowitz (Ed.), Advances in experimental social psychology, Vol. 10 (pp. 221--279). New York: Academic Press.Google ScholarGoogle Scholar
  48. Sexton, R.J., Johnson, N.B, Konakayama, A. Consumer response to continuous-display electricity-use monitors in a time-of-use pricing experiment. Journal of Consumer Research 14, 1(1987), 55--62.Google ScholarGoogle ScholarCross RefCross Ref
  49. Siero, F.W., Bakker, A.B., Dekker, G.B., van den Burg, T.C. Changing organizational energy consumption behavior through comparative feedback. J. of Environmental Psychology 16, (1996), 235--246.Google ScholarGoogle ScholarCross RefCross Ref
  50. Staats, H., Harland, P., Wilke, H. Effecting durable change: a team approach to improve environmental behavior in the household. Environment & Behavior 36, 3(2004), 341--367.Google ScholarGoogle ScholarCross RefCross Ref
  51. Stern, P.C Information, incentives, and proenvironmental consumer behavior. J.of Consumer Policy 22, 1999, 461--478.Google ScholarGoogle ScholarCross RefCross Ref
  52. Stern, P.C. Toward a coherent theory of environmentally significant behavior. J. Social Issues 56, 3(2000), 407--424.Google ScholarGoogle ScholarCross RefCross Ref
  53. Valente, T.W., Schuster, D.V. The public health perspective for communicating environmental issues. In Dietz, T., Stern, P.C., eds: New Tools for Environmental Protection: Education, Information, and Voluntary Measures. National Academic Press, 2002.Google ScholarGoogle Scholar
  54. Van Houwlingen, J.H. and Van Raaij, W. (1989). The Effect of Goal--Setting and Daily Electronic Feedback on In--Home Energy Use. J. of Consumer Research 16, 1 (1989), 98--105.Google ScholarGoogle Scholar
  55. Wang, T. and Katzev, R. Group commitment and resource conservation: two field experiments on promoting recycling. Journal of Applied Social Psychology 20, 4(1990), 265--275.Google ScholarGoogle ScholarCross RefCross Ref
  56. Winett, R.A., et al. Effects of monetary rebates, feedback, and information on residential electricity conservation. Journal of Applied Psychology 63, 1(1978), 73--80.Google ScholarGoogle ScholarCross RefCross Ref
  57. Woodruff, A., Hasbrouck, J., Augustin, S. A bright green perspective on sustainable choices. CHI '08, (2008), 313--322. Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. Yates, S. and Aronson, E. A Social Psychological Perspective on Energy Conservation in Residential Buildings. Psychology in Action. 1983.Google ScholarGoogle Scholar
  59. Yun, T. Investigating the impact of a minimalist in-home energy consumption display. CHI EA'09, 2009, 4417--442. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. The design of eco-feedback technology

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2010
      2690 pages
      ISBN:9781605589299
      DOI:10.1145/1753326

      Copyright © 2010 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 10 April 2010

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate6,199of26,314submissions,24%

      Upcoming Conference

      CHI '24
      CHI Conference on Human Factors in Computing Systems
      May 11 - 16, 2024
      Honolulu , HI , USA

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader