Design and Evaluation of Eco-feedback Interfaces to Support Location-Based Services for Individual Energy Awareness and Conservation

  • Yang Ting Shen
  • Po Chun Chen
  • Tay Sheng Jeng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8008)


The Eco-feedback technology has widely applied to the energy conservation. Eco-feedback technology is usually represented as any kind of interactive device or interface targeted at revealing energy consumption in order to promote users’ energy awareness and then trigger more ecologically responsible behaviors. In this paper, the primary goal is to help the individual user understand his comparative energy consumption through the Eco-feedback energy visualization. The energy information we provide is the comparison between the historical average energy consumption and the instant energy consumption. Based on the instant comparative energy consumption, the user can intuitively understand the current energy consumption is higher or lower than usualness. We develop the location-based individual energy consumption feedback system named EME (Energy MEter). Integrated with the concepts of historical comparison and incentives, three kinds of eco-feedback interface prototypes including the Dichotomy type, the Accumulation type, and the Numeral type are designed and deployed in practical fields. The user study both from quantitative and qualitative surveys is conducted in order to find out the potential interface which links user and energy consumption data better.


Eco-feedback Energy awareness Energy conservation Comparative energy consumption 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Albert, S.: Temporal comparison theory. Psychological Review (1977)Google Scholar
  2. 2.
    Becker, L.: Joint effect of feedback and goal setting on performance: A field study of residential energy conservation. Journal of Applied Psychology (1978)Google Scholar
  3. 3.
    Darby, S.: The effectiveness of feedback on energy consumption: A review for DEFRA of the literature on metering, billing and direct displays. Environmental Change Institute, University of Oxford (2006)Google Scholar
  4. 4.
    DIY Kyoto, (retrieved July 3, 2008)
  5. 5., (retrieved July 3, 2008)
  6. 6.
    Festinger, L.: A Theory of Social Comparison Processes. Human Relations 7, 117–140 (1954)CrossRefGoogle Scholar
  7. 7.
    Fischer, C.: Feedback on household electricity consumption: a tool for saving energy? Energy Efficiency 1, 79–104 (2008)CrossRefGoogle Scholar
  8. 8.
    Fogg, B.: Persuasive technology: using computers to change what we think and do. Ubiquity, 89–120 (2002)Google Scholar
  9. 9.
    Froehlich, J., Findlater, L., Landay, J.: The design of eco-feedback technology. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2010), pp. 1999–2008 (2010)Google Scholar
  10. 10.
    Hart, S., Staveland, L.: Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. Human Mental Workload (1988)Google Scholar
  11. 11.
    Holmes, T.: Eco-visualization: combining art and technology to reduce energy consumption. In: Proceedings of the 6th ACM SIGCHI Conference on Creativity & Cognition, pp. 153–162 (2007)Google Scholar
  12. 12.
    Jain, R.K., Taylor, J.E., Peschiera, G.: Assessing eco-feedback interface usage and design to drive energy efficiency in buildings. Energy and Buildings 48, 8–17 (2012)CrossRefGoogle Scholar
  13. 13.
    Mankoff, J., Dey, A.K., Hsieh, G., Kientz, J., Lederer, S., Ames, M.: Heuristic evaluation of ambient displays. In: Proceedings of the Conference on Human Factors in Computing Systems, CHI 2003, p. 169 (2003)Google Scholar
  14. 14.
    McCalley, L., Midden, G.: Computer based systems in household appliances: the study of eco-feedback as a tool for increasing conservation behavior. In: Proceedings of the Third Asian Pacific Computer and Human Interaction (APCHI 1998), p. 344 (1998)Google Scholar
  15. 15.
    Nielsen, J., Molich, R.: Heuristic evaluation of user interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 249–256 (1990)Google Scholar
  16. 16.
    Petkov, P., Köbler, F., Foth, M., Krcmar, H.: Motivating domestic energy conservation through comparative, community-based feedback in mobile and social media. In: Proceedings of the 5th International Conference on Communities and Technologies, pp. 21–30 (2011)Google Scholar
  17. 17.
    Pierce, J., Odom, W., Blevis, E.: Energy aware dwelling: a critical survey of interaction design for eco-visualizations. In: Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat, pp. 1–8 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yang Ting Shen
    • 1
  • Po Chun Chen
    • 2
  • Tay Sheng Jeng
    • 1
  1. 1.Department of ArchitectureNational Cheng Kung UniversityTainanTaiwan
  2. 2.National Cheng Kung UniversityTainanTaiwan

Personalised recommendations