Tracking the Consumption of Home Essentials

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

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, May). Tracking the Consumption of Home Essentials. Presented at CHI '19: CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland Uk

• Presentation Conference Type: Edited Proceedings
• Conference Name: CHI '19: CHI Conference on Human Factors in Computing Systems
• Start Date: May 4, 2019
• End Date: May 9, 2019
• Acceptance Date: Jan 8, 2019
• Online Publication Date: May 2, 2019
• Publication Date: May 2, 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)
• Pages: 1–13
• 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.
• Contract Date: Jan 9, 2019