Promoting energy-conservation behavior in a smart home app: Kano analysis of user satisfaction with feedback nudges

  • Smart home technologies and apps are on a rise. This allows to implement digital nudging elements to foster energy-conservation behavior and, thus, contribute to mitigating climate change. Digital nudging via feedback can be effective in improving energy-conservation behavior, as substantial prior research has shown. However, the investigation of users’ preferences concerning feedback nudges is missing. This lack of knowledge is crucial, as user satisfaction influences their continuous app usage, a precondition for achieving positive effects. To close this gap, we perform a structured literature review, categorize the feedback nudge features from extant research, and conduct an online survey. Based on survey data and the Kano model, we analyze the effect of feedback nudge features on user satisfaction. Our study complements the traditional focus on the effectiveness of these nudges with a perspective on user satisfaction. The combination of both perspectives suggests which feedbackSmart home technologies and apps are on a rise. This allows to implement digital nudging elements to foster energy-conservation behavior and, thus, contribute to mitigating climate change. Digital nudging via feedback can be effective in improving energy-conservation behavior, as substantial prior research has shown. However, the investigation of users’ preferences concerning feedback nudges is missing. This lack of knowledge is crucial, as user satisfaction influences their continuous app usage, a precondition for achieving positive effects. To close this gap, we perform a structured literature review, categorize the feedback nudge features from extant research, and conduct an online survey. Based on survey data and the Kano model, we analyze the effect of feedback nudge features on user satisfaction. Our study complements the traditional focus on the effectiveness of these nudges with a perspective on user satisfaction. The combination of both perspectives suggests which feedback nudge features should be considered for implementation.show moreshow less

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Metadaten
Author:Michelle BergerORCiD, Feline Schnaak, Henner GimpelORCiDGND, Linda Wolf
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/116229
URL:https://aisel.aisnet.org/icis2022/user_behaivor/user_behaivor/11/
Parent Title (English):Proceedings of the 43rd International Conference on Information Systems, ICIS 2022, Digitization for the Next Generation, Copenhagen, Denmark, December 9-14, 2022
Publisher:AIS Electronic Library (AISeL)
Place of publication:New York, NY
Editor:Niels Bjørn-Andersen, Roman Beck, Stacie Petter, Tina Blegind Jensen, Tilo Böhmann, Kai-Lung Hui, Viswanath Venkatesh
Type:Conference Proceeding
Language:English
Year of first Publication:2022
Release Date:2024/10/29
First Page:11
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management / Professur für Wirtschaftsingenieurwesen
Nachhaltigkeitsziele
Nachhaltigkeitsziele / Ziel 13 - Maßnahmen zum Klimaschutz