Designing the Desirable Smart Home: A Study of Household Experiences and Energy Consumption Impacts

Jensen, R, Strengers, Y, Kjeldskov, J, Nicholls, L and Skov, M 2018, 'Designing the Desirable Smart Home: A Study of Household Experiences and Energy Consumption Impacts', in CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Montreal, Canada, 21-26 April 2018, pp. 1-14.


Document type: Conference Paper
Collection: Conference Papers

Title Designing the Desirable Smart Home: A Study of Household Experiences and Energy Consumption Impacts
Author(s) Jensen, R
Strengers, Y
Kjeldskov, J
Nicholls, L
Skov, M
Year 2018
Conference name 2018 CHI Conference on Human Factors in Computing Systems
Conference location Montreal, Canada
Conference dates 21-26 April 2018
Proceedings title CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Publisher ACM Digital Library
Place of publication Montreal, Canada
Start page 1
End page 14
Total pages 14
Abstract Research has shown that desirable designs shape the use and experiences people have when interacting with technology. Nevertheless, how desirability influences energy consumption is often overlooked, particularly in HCI studies evaluating the sustainability benefits of smart home technology. In this paper, we present a qualitative study with 23 Australian households who reflect on their experiences of living with smart home devices. Drawing on Nelson and Stolterman's concept of desiderata we develop a typology of householders' desires for the smart home and their energy implications. We structure these desires as three smart home personas: the helper, optimiser and hedonist, which align with desiderata's three approaches to desire (reason, ethics and aesthetics). We use these insights to discuss how desirability can be used within HCI for steering design of the smart home towards sustainability.
Subjects Social Change
Keyword(s) Sustainability
desirability
smart homes
energy consumption
domestic
desiderata
DOI - identifier 10.1145/3173574.3173578
Copyright notice © 2018 Association for Computing Machinery.
ISBN 9781450356206
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