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Let's Go to the Mall: Investigating the Role of User Experience in Customers’ Intention to Use Social Robots in a Shopping Mall

  • Aim of this study is to investigate the effects of user experience (UX) on shopping mall customers’ intention to use a social robot. Therefore, we used a Wizard of Oz approach that enabled data collection in situ. Quantitative data was obtained from a questionnaire completed by shopping mall customers who interacted with a social robot. Data was used in a regression analysis, where user experience factors served as predictors for robot use in retail. The regression model explains up to 23.2% of the variance in customers’ intention to use a social robot. In addition, we collected qualitative data on human-robot-interactions and used the data to complement the interpretation of statistical results. Our findings suggest that only hedonic qualities significantly contribute to the prediction of customers’ intention, that shopping mall customers are reluctant to grant pragmatic qualities to social robots, and that UX evaluation in HRI requires additional predictors.

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Metadaten
Document Type:Conference Object
Language:English
Author:David Golchinfar, Daryoush Daniel Vaziri, Gunnar Stevens, Dirk Schreiber
Parent Title (English):Mueller, Greuter et al. (Eds.): DIS '22: Designing Interactive Systems Conference, Virtual Event, Australia, June 13-17, 2022
Number of pages:10
First Page:377
Last Page:386
ISBN:978-1-4503-9358-4
DOI:https://doi.org/10.1145/3532106.3533490
Date of first publication:2022/06/13
Copyright:© 2022 Association for Computing Machinery. Abstracting with credit is permitted.
Keyword:Human-robot interaction; User Experience; Wizard of Oz; social robots; user study
Departments, institutes and facilities:Fachbereich Wirtschaftswissenschaften
Institut für Verbraucherinformatik (IVI)
Dewey Decimal Classification (DDC):3 Sozialwissenschaften / 38 Handel, Kommunikation, Verkehr / 380 Handel, Kommunikation, Verkehr
Entry in this database:2022/06/24