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Diffusion of Feedback: Perceptions and Adoption of Devices in the Residential Market

  • Beth KarlinEmail author
  • Angela Sanguinetti
  • Nora Davis
  • Kristen Bendanna
  • Kristen Holdsworth
  • Jessie Baker
  • David Kirkby
  • Daniel Stokols
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9188)

Abstract

Providing households with energy feedback is widely promoted as a conservation strategy and its effectiveness has been established in field studies. However, such studies actively recruit participants and little is known about naturalistic consumers. Despite hundreds of products emerging, few have taken hold in the market. Diffusion of innovation is a theory of technology adoption that details both the general process by which innovation spreads as well as the individual process of technology adoption. The current study analyses survey data from 836 individuals through a diffusion framework to assess the current and potential market of energy feedback. Questions related to knowledge and perceptions of feedback reveal important insights about customer acceptance and statistical comparison of adopters and non-adopters identify key characteristics related to adoption. Implications for the design and marketing of feedback technologies are discussed.

Keywords

Sustainability Feedback Energy Usability user experience 

References

  1. 1.
    Allen, D., Janda, K.: The Effects of Household Characteristics and Energy Use Consciousness on the Effectiveness of Real-Time Energy Use Feedback. ACEEE Summer Study on Energy Efficiency in Buildings, 1–12 (2006)Google Scholar
  2. 2.
    Battalio, R.C., Kagel, J.H., Winkler, R.C., Winett, R.A.: Residential electricity demand: an experimental study. Rev. Lit. Arts Am. 61(2), 180–189 (1979)Google Scholar
  3. 3.
    Berkhout, P.H.G., Muskens, J.C., Velthuijsen, J.W.: Defining the rebound effect. Energy Policy 28, 425–432 (2000)CrossRefGoogle Scholar
  4. 4.
    Darby, S.: The Effectiveness of Feedback on Energy Consumption. Oxford, UK, 2006Google Scholar
  5. 5.
    Ehrhardt-Martinez, K., Donnelly, K.A., Laitner, J.A.: Advanced Metering Initiatives and Residential Feedback Programs: A Meta-Review for Household Electricity-Saving Opportunities. Washington, D.C (2010)Google Scholar
  6. 6.
    Fischer, C.: Feedback on household electricity consumption: a tool for saving energy? Energ. Effi. 1, 79–104 (2008)CrossRefGoogle Scholar
  7. 7.
    Gatersleben, B., Steg, L., Vlek, C.: Measurement and determinants of environmentally significant behavior. Environ. Behav. 34, 335–362 (2010)CrossRefGoogle Scholar
  8. 8.
    Haakana, M., Talsi, M.: The Effect of Feedback and Focused Advice on Household Energy Consumption. Research Program on Consumer Habits and Energy Conservation Summary Report, 37–60 (1996)Google Scholar
  9. 9.
    Hargreaves, T., Nye, M., Burgess, J.: Making energy visible. Energy Policy 38(10), 6111–6119 (2010)CrossRefGoogle Scholar
  10. 10.
    Karlin, B., Ford, R., Squiers, C.: Energy feedback technology: a review and taxonomy. Energ. Effi. 7(3), 377–399 (2013)CrossRefGoogle Scholar
  11. 11.
    Karlin, B., Ford, R., Zinger, J.: The Effects of Feedback on Energy Conservation: A Preliminary Theory and Meta-Analysis (2015)Google Scholar
  12. 12.
    Kasulis, J.J., Huettner, D.A., Dikeman, N.J.: The feasibility of changing electricity patterns. J. Consum. Res. 8(3), 279–290 (2009)CrossRefGoogle Scholar
  13. 13.
    Kurz, T., Donaghue, N., Walker, I.: Utilizing a social-ecological framework to promote water and energy conservation: a field experiment. J. Appl. Soc. Psychol. 35(6), 1281–1300 (2005)CrossRefGoogle Scholar
  14. 14.
    Liikkanen, L.A.: Extreme-user approach and the design of energy feedback systems. In: International Conference on Energy Efficiency in Domestic Appliances and Lighting, pp. 1–12 (2009)Google Scholar
  15. 15.
    Lowe’s 2014 smart home survey report (2014)Google Scholar
  16. 16.
    Mountain, D.C.: Real-Time Feedback and Residential Electricity Consumption (2007)Google Scholar
  17. 17.
    Neenan, B., Robinson, J., Boisvert, R.N.: Residential electricity use feedback: a research synthesis and economic framework. EPRI, Palo Alto (2009)Google Scholar
  18. 18.
    Painter, J., Semenik, R., Belk, R.: Is there a generalized energy conservation ethic? J. Econ. Psychol. 3, 317–331 (1983)CrossRefGoogle Scholar
  19. 19.
    Parker, D., Hoak, D., Meier, A.: How Much Energy Are We Using ? Solar Energy (2006)Google Scholar
  20. 20.
    Parker, D.S., Hoak, D., Cummings, J.: Pilot Evaluation of Energy Savings from Residential Energy Demand Feedback Devices. Florida Solar Energy Center, Mountain (2008)Google Scholar
  21. 21.
    Parks Associates. Smart home ecosystem: IoT and consumers (2014)Google Scholar
  22. 22.
    Pierce, J., Fan, C., Lomas, D., Marcu, G., Paulos, E.: Some consideration on the (in) effectiveness of residential energy feedback systems. Hu. Comput. Interact. 45(4), 244–247 (2010)Google Scholar
  23. 23.
    Robinson, J.: The Effect of Electricity-Use Feedback on Residential Consumption (2007)Google Scholar
  24. 24.
    Rogers, E.M.: Diffusion of Innovations. Free Press, New York, NY (2003)Google Scholar
  25. 25.
    Sardianou, E.: Estimating energy conservation patterns of Greek households. Energy Policy 35(7), 3778–3791 (2007)CrossRefGoogle Scholar
  26. 26.
    Shama, A.: Energy conservation in US buildings: Solving the high potential/ low adoption paradox from a behavioural perspective. Energy Policy 11(2), 148–167 (1983)CrossRefGoogle Scholar
  27. 27.
    Stern, P.C.: Contributions of psychology to limiting climate change. Am. Psychol. 66(4), 303–314 (2011)CrossRefGoogle Scholar
  28. 28.
    Vollink, T.: Go for less: The effect of feedback and goal setting on household energy and water consumption (2004)Google Scholar
  29. 29.
    Williams, E.D., Matthews, H.S.: Scoping the potential of monitoring and control technologies to reduce energy use in homes. IEEE Int. Symp. Electron. Environ., 239–244 (2007)Google Scholar
  30. 30.
    Winett, R.A., Neale, M.S., Grier, H.C.: Effects of self-monitoring and feedback on residential electricity consumption. Psychology 2(2), 173–184 (1979)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Beth Karlin
    • 1
    Email author
  • Angela Sanguinetti
    • 2
  • Nora Davis
    • 1
  • Kristen Bendanna
    • 1
  • Kristen Holdsworth
    • 3
  • Jessie Baker
    • 4
  • David Kirkby
    • 5
  • Daniel Stokols
    • 1
  1. 1.School of Social EcologyUniversity of CaliforniaIrvineUSA
  2. 2.Plug-in Hybrid and Electric Vehicle Research CenterUniversity of CaliforniaDavisUSA
  3. 3.UCLA Institute of the Environment and SustainabilityLos AngelesUSA
  4. 4.Office of SustainabilityNew York UniversityNew YorkUSA
  5. 5.Department of Physics and AstronomyUniversity of CaliforniaIrvineUSA

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