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Probing IoT-based consumer services: ‘Insights’ from the Connected Shower

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journal contribution
posted on 02.08.2019 by Andy Crabtree, Lewis Hyland, Joel Fischer, Martin Flintham, James Colley, Hyosun Kwon
This paper presents findings from the deployment of a technology probe – the connected shower – and implications for the development of ‘living services’ or autonomous context-aware consumer-oriented IoT services that exploit sensing to gain consumer ‘insight’ and drive personalised service innovation. It contributes to the literature on water sustainability and the potential role and barriers to the adoption of smart showers in domestic life. It also contributes to our understanding of context, which enables user activity to be discriminated and elaborated thereby furnishing the ‘insight’ living services require for their successful operation. Problematically, however, our study shows that context is not a property of sensor data. Rather than provide contextual insights into showering, the sensor data requires contextualisation to discriminate and elaborate user activity. Thus, in addition to examining the potential of the connected shower in everyday life, we consider how sensor data is contextualised through the doing of data work and the relevance of its interactional accomplishment and organisation to the design of living services.

Funding

Engineering and Physical Sciences Research Council EP/N005945/1

Engineering and Physical Sciences Research Council EP/N014243/1

Engineering and Physical Sciences Research Council EP/M001636/1

History

Published in

Personal and Ubiquitous Computing

Volume

24

Pages

595–611

Publisher

Springer (part of Springer Nature)

Version

AM (Accepted Manuscript)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

21/08/2019

Publication date

2019-09-05

Copyright date

2020

ISSN

1617-4917

eISSN

1617-4917

Language

en

Depositor

Dr Hyosun Kwon

Licence

Exports