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Rent-a-Watt: Rethinking energy use feedback

Published: 15 February 2021 Publication History

Abstract

This paper details our journey toward re-imagining eco-feedback at scale. Simple in-home displays are found to offer limited efficacy and become disused, yet it is simply not feasible (or at least politically acceptable) to deploy high quality feature-rich energy feedback to every household in a region. This paper presents Rent-a-Watt, a speculative, rentable, sharing economy-based model of energy use feedback which is envisaged as a means of providing energy literacy at scale. Based on findings from a preliminary field deployment, we identify limits to engagement with smart plug-based feedback and outline avenues for future work, arguing a case for a sharing economy model of energy use feedback and the potential for a marriage of HCI work on energy use feedback with that on user-led thermal performance audits.

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Cited By

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  • (2022)Hitting the Triple Bottom LineProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517518(1-19)Online publication date: 29-Apr-2022

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OzCHI '20: Proceedings of the 32nd Australian Conference on Human-Computer Interaction
December 2020
764 pages
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 February 2021

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Author Tags

  1. In home display, energy monitor, energy use, eco-feedback, sharing economy, situated display, home
  2. engagement

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  • Work in progress
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  • Advance Queensland

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OzCHI '20

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Overall Acceptance Rate 362 of 729 submissions, 50%

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View all
  • (2022)Hitting the Triple Bottom LineProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517518(1-19)Online publication date: 29-Apr-2022

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