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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - How Viable are Energy Savings in Smart Homes?
T2 - A Call to Embrace Rebound Effects in Sustainable HCI
AU - Bremer, Christina
AU - Gujral, Harshit
AU - Lin, Michelle
AU - Hinkers, Lily
AU - Becker, Christoph
AU - Coroamă, Vlad Constantin
PY - 2023/9/22
Y1 - 2023/9/22
N2 - As part of global climate action, digital technologies are seen as a key enabler of energy efficiency savings. A popular application domain for this work is smart homes. There is a risk, however, that these efficiency gains result in rebound effects, which reduce or even overcompensate the savings. Rebound effects are well-established in economics, but it is less clear whether they also inform smart energy research in other disciplines. In this paper, we ask: to what extent have rebound effects and their underlying mechanisms been considered in computing, HCI and smart home research? To answer this, we conducted a literature mapping drawing on four scientific databases and a SIGCHI corpus. Our results reveal limited consideration of rebound effects and significant opportunities for HCI to advance this topic. We conclude with a taxonomy of actions for HCI to address rebound effects and help determine the viability of energy efficiency projects.
AB - As part of global climate action, digital technologies are seen as a key enabler of energy efficiency savings. A popular application domain for this work is smart homes. There is a risk, however, that these efficiency gains result in rebound effects, which reduce or even overcompensate the savings. Rebound effects are well-established in economics, but it is less clear whether they also inform smart energy research in other disciplines. In this paper, we ask: to what extent have rebound effects and their underlying mechanisms been considered in computing, HCI and smart home research? To answer this, we conducted a literature mapping drawing on four scientific databases and a SIGCHI corpus. Our results reveal limited consideration of rebound effects and significant opportunities for HCI to advance this topic. We conclude with a taxonomy of actions for HCI to address rebound effects and help determine the viability of energy efficiency projects.
U2 - 10.1145/3608115
DO - 10.1145/3608115
M3 - Journal article
VL - 1
SP - 1
EP - 24
JO - ACM Journal on Computing and Sustainable Societies
JF - ACM Journal on Computing and Sustainable Societies
IS - 1
M1 - 5
ER -