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Influencing Participant Behavior Through a Notification-Based Recommendation System

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Persuasive Technology (PERSUASIVE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10809))

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Abstract

Behavioral recommendations for achieving energy savings in the home are extremely common, however how to effectively influence users to adopt such recommendations is not well understood. In this work, we present the results of a feasibility study, conducted over a 4-week period, that deployed a phone-based recommendation system designed to encourage participants to follow the popular utility-company recommendation: Consider dimmer switches to adjust the light to the lowest level necessary for an activity. We found that the system did influence participants to follow the recommendation and some even realized that they preferred dimmer lighting, suggesting that recommendation systems can serve to demonstrate to participants that they can maintain comfort even with lower energy consumption levels.

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Author information

Authors and Affiliations

  1. University of Maryland, 1000 Hilltop Cir, Baltimore, MD, USA

    Venkata Reddy & Nilanjan Banerjee

  2. University of San Francisco, 2130 Fulton Street, San Francisco, CA, USA

    Brian Bushree, Marcus Chong, Mayank Thirani, Mark Yan, Sami Rollins & Alark Joshi

  3. Cornell University, Ithaca, NY, USA

    Matthew Law

Authors
  1. Venkata Reddy
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  2. Brian Bushree
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  3. Marcus Chong
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  4. Matthew Law
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  5. Mayank Thirani
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  6. Mark Yan
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  7. Sami Rollins
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  8. Nilanjan Banerjee
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  9. Alark Joshi
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Corresponding author

Correspondence to Sami Rollins .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Jaap Ham

  2. Cyprus University of Technology, Limassol, Cyprus

    Evangelos Karapanos

  3. University of Waterloo, Waterloo, Ontario, Canada

    Plinio P. Morita

  4. University of Waterloo, Waterloo, Ontario, Canada

    Catherine M. Burns

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Reddy, V. et al. (2018). Influencing Participant Behavior Through a Notification-Based Recommendation System. In: Ham, J., Karapanos, E., Morita, P., Burns, C. (eds) Persuasive Technology. PERSUASIVE 2018. Lecture Notes in Computer Science(), vol 10809. Springer, Cham. https://doi.org/10.1007/978-3-319-78978-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-78978-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78977-4

  • Online ISBN: 978-3-319-78978-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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