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Tracking the consumption of home essentials

Tracking the consumption of home essentials
Tracking the consumption of home essentials

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.

Automation, Autonomous agents, Domestic grocery shopping, IoT, Proactive technology, Technology probe
1-13
ACM
Fuentes, Carolina
ffbe97aa-6f42-4a72-98f5-223cdea0c0cc
Porcheron, Martin
746d835f-2054-4af0-baac-5c30440ee124
Fischer, Joel E.
ef3a4021-58e4-4df2-95c0-a145278c4746
Costanza, Enrico
0868f119-c42e-4b5f-905f-fe98c1beeded
Malik, Obaid
16899d3c-005e-48f1-b7c0-8040449de79e
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
Fuentes, Carolina
ffbe97aa-6f42-4a72-98f5-223cdea0c0cc
Porcheron, Martin
746d835f-2054-4af0-baac-5c30440ee124
Fischer, Joel E.
ef3a4021-58e4-4df2-95c0-a145278c4746
Costanza, Enrico
0868f119-c42e-4b5f-905f-fe98c1beeded
Malik, Obaid
16899d3c-005e-48f1-b7c0-8040449de79e
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3

Fuentes, Carolina, Porcheron, Martin, Fischer, Joel E., Costanza, Enrico, Malik, Obaid and Ramchurn, Sarvapali D. (2019) Tracking the consumption of home essentials. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM. pp. 1-13 . (doi:10.1145/3290605.3300869).

Record type: Conference or Workshop Item (Paper)

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.

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More information

Published date: 2 May 2019
Venue - Dates: 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom, 2019-05-04 - 2019-05-09
Keywords: Automation, Autonomous agents, Domestic grocery shopping, IoT, Proactive technology, Technology probe

Identifiers

Local EPrints ID: 432475
URI: https://eprints.soton.ac.uk/id/eprint/432475
PURE UUID: 54f5483c-c168-478d-8f18-6cc87db04a7c
ORCID for Obaid Malik: ORCID iD orcid.org/0000-0001-9014-2675
ORCID for Sarvapali D. Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 17 Jul 2019 16:30
Last modified: 03 Dec 2019 01:47

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Contributors

Author: Carolina Fuentes
Author: Martin Porcheron
Author: Joel E. Fischer
Author: Enrico Costanza
Author: Obaid Malik ORCID iD
Author: Sarvapali D. Ramchurn ORCID iD

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