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Creating an in-home display: Experimental evidence and guidelines for design

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  • Krishnamurti, Tamar
  • Davis, Alexander L.
  • Wong-Parodi, Gabrielle
  • Wang, Jack
  • Canfield, Casey

Abstract

In-home electricity displays (IHDs) are digital devices that can give near-real-time information about electricity usage in the home. These devices have the potential to provide the kind of personalized feedback necessary to effect behavioral change among residential consumers. However, for consumers to be able to act on the information provided on IHDs, they must first be able to understand it. We present an approach to in-home display design that uses research on customer preferences to determine which features to experimentally examine for customer comprehension. Additionally, we compare these preferences against experimental data to determine whether people have insight into what information best works for an increased understanding of energy saving. Using a computer-based simulated IHD, we find that the types of feedback information that consumers prefer (appliance-specific and dollar-feedback) are not as effective for learning about appliance energy use as the less-preferred aggregated kWh feedback. Moreover, it appears that a simpler more generalized format of information provision has the potential to be more effective than a personalized IHD. We discuss how consumer preferences and experimental tests can jointly be used to inform the design of feedback technologies.

Suggested Citation

  • Krishnamurti, Tamar & Davis, Alexander L. & Wong-Parodi, Gabrielle & Wang, Jack & Canfield, Casey, 2013. "Creating an in-home display: Experimental evidence and guidelines for design," Applied Energy, Elsevier, vol. 108(C), pages 448-458.
  • Handle: RePEc:eee:appene:v:108:y:2013:i:c:p:448-458
    DOI: 10.1016/j.apenergy.2013.03.048
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    References listed on IDEAS

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    Cited by:

    1. Komatsu, Hidenori & Nishio, Ken-ichiro, 2015. "An experimental study on motivational change for electricity conservation by normative messages," Applied Energy, Elsevier, vol. 158(C), pages 35-43.
    2. Kazutoshi Tsuda & Michinori Uwasu & Keishiro Hara & Yukari Fuchigami, 2017. "Approaches to induce behavioral changes with respect to electricity consumption," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 7(1), pages 30-38, March.
    3. Kendel, Adnane & Lazaric, Nathalie & Maréchal, Kevin, 2017. "What do people ‘learn by looking’ at direct feedback on their energy consumption? Results of a field study in Southern France," Energy Policy, Elsevier, vol. 108(C), pages 593-605.
    4. Ian H. Rowlands & Tobi Reid & Paul Parker, 2015. "Research with disaggregated electricity end‐use data in households: review and recommendations," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 4(5), pages 383-396, September.
    5. Casey Canfield & Wändi Bruine de Bruin & Gabrielle Wong-Parodi, 2017. "Perceptions of electricity-use communications: effects of information, format, and individual differences," Journal of Risk Research, Taylor & Francis Journals, vol. 20(9), pages 1132-1153, September.
    6. David Fredericks & Zhong Fan & Sandra Woolley & Ed de Quincey & Mike Streeton, 2020. "A Decade On, How Has the Visibility of Energy Changed? Energy Feedback Perceptions from UK Focus Groups," Energies, MDPI, vol. 13(10), pages 1-17, May.
    7. Valor, Carmen & Escudero, Carmen & Labajo, Victoria & Cossent, Rafael, 2019. "Effective design of domestic energy efficiency displays: A proposed architecture based on empirical evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.

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