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Tracking the Consumption of Home Essentials

Fuentes, Carolina; Porcheron, Martin; Fischer, Joel E.; Costanza, Enrico; Malik, Obaid; Ramchurn, Sarvapali D.

Authors

Carolina Fuentes

Martin Porcheron

Enrico Costanza

Obaid Malik

Sarvapali D. Ramchurn



Abstract

Predictions of people's behaviour increasingly drive interactions with a new generation of IoT services designed to support everyday life in the home, from shopping to heating. Based on the premise that such automation is difficult due to the contingent nature of people's practices, in this work we explore the nature of these contingencies in depth. We have designed and conducted a technology probe that made use of simple linear predictions as a provocation, and invited people to track the life of their household essentials over a two-month period. Through a mixed-method approach we demonstrate the challenges of simple predictions, and in turn identify eight categories of contingencies that influenced prediction accuracy. We discuss strategies for how designers of future predictive IoT systems may take the contingencies into account by removing, hiding, revealing, managing, or exploiting the system uncertainty at the core of the issue.

Citation

Fuentes, C., Porcheron, M., Fischer, J. E., Costanza, E., Malik, O., & Ramchurn, S. D. (2019). Tracking the Consumption of Home Essentials. In CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systemshttps://doi.org/10.1145/3290605.3300869

Conference Name 2019 CHI Conference
Start Date May 4, 2019
End Date May 9, 2019
Acceptance Date Jan 8, 2019
Online Publication Date May 4, 2019
Publication Date 2019
Deposit Date Jan 9, 2019
Publicly Available Date Jan 10, 2019
Journal CHI Conference on Human Fac-tors in Computing Systems Proceedings (CHI 2019) CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019)
Publisher Association for Computing Machinery (ACM)
Book Title CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
ISBN 9781450359702
DOI https://doi.org/10.1145/3290605.3300869
Keywords domestic grocery shopping; IoT; proactive technology; au- tomation; autonomous agents; technology probe
Public URL https://nottingham-repository.worktribe.com/output/1458860
Publisher URL https://dl.acm.org/doi/10.1145/3290605.3300869
Related Public URLs https://chi2019.acm.org/
Additional Information This is the author’s version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), May 4–9, 2019, Glasgow, Scotland UK, https://doi.org/10.1145/3290605.3300869.

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