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Neighbourhood Wattch: Using Speculative Design to Explore Values Around Curtailment and Consent in Household Energy Interactions

Authors:

Awais Hameed Khan,

Mashhuda Glencross,

Neil HorrocksAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 643, Pages 1 - 12

https://doi.org/10.1145/3411764.3445095

Published: 07 May 2021 Publication History

Abstract

Smart energy technologies provide new opportunities for network demand management, while generating data that can provide inference into household activities and which is increasingly valuable for user profiling and targeted marketing. This paper explores the human values implicated by smart energy technologies as energy consumption emerges as a potentially sensitive and attributable data trail. Using a values-based approach involving semi-structured interviews with 39 Australians, we use speculative design to engage participants with the implications of high frequency household energy data and understand users’ values and attitudes towards curtailment, surveillance, accountability and consent. The principal contributions are (1) a nuanced understanding of user values around privacy, responsibility, trust, collectivism and curtailment in relation to interpersonal household energy use data and considerations for speculative designs in this space, and (2) reflections on the design of mechanisms for consumer participation in demand response for energy networks.

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Bodelier MLupetti MDobbe RMagnier L(2024)Data sufficient products: speculative design explorations for sustainable digital futuresProceedings of the 27th International Academic Mindtrek Conference10.1145/3681716.3681719(188-200)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3681716.3681719
Yu TShakeri GKoelle M(2024)"If you don't feel guilty, you won't take responsibility" - Co-Speculating on Digital Technologies That Encourage Sustainable ConsumptionProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685374(1-18)Online publication date: 13-Oct-2024
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Jensen VChristensen EHansen NJensen R(2024)A Year in Energy: Imagining Energy Community Participation with a Collaborative Design FictionProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685355(1-15)Online publication date: 13-Oct-2024
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Neighbourhood Wattch: Using Speculative Design to Explore Values Around Curtailment and Consent in Household Energy Interactions
1. Human-centered computing

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

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Yoshifumi Kitamura
Tohoku University, Japan
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University of New South Wales, Australia
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University of California Santa Cruz, USA
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Takeo Igarashi
The University of Tokyo, Japan
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University of Copenhagen, Denmark
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Steven Drucker
Microsoft Research, USA

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Cited By

Bodelier MLupetti MDobbe RMagnier L(2024)Data sufficient products: speculative design explorations for sustainable digital futuresProceedings of the 27th International Academic Mindtrek Conference10.1145/3681716.3681719(188-200)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3681716.3681719
Yu TShakeri GKoelle M(2024)"If you don't feel guilty, you won't take responsibility" - Co-Speculating on Digital Technologies That Encourage Sustainable ConsumptionProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685374(1-18)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685374
Jensen VChristensen EHansen NJensen R(2024)A Year in Energy: Imagining Energy Community Participation with a Collaborative Design FictionProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685355(1-15)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685355
Snow SKhan ADay KMatthews B(2024)Household Wattch: Exploring Opportunities for Surveillance and Consent through Families’ Household Energy Use DataACM Transactions on Computer-Human Interaction10.1145/367322831:4(1-30)Online publication date: 19-Sep-2024
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