Exploring Variables That Affect Robot Likeability
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2022
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04B - Conference paper
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17th ACM/IEEE International Conference on Human-Robot Interaction (HRI'22)
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Pages / Duration
1140-1145
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Sapporo
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Abstract
Like in human-human interaction, people tend to interact in human-robot settings with those they like. Therefore, it is important to understand what variables affect robot likeability. The present study aims at providing insights into how robots’ anthropomorphism, voice, gestures, approaching behaviors as well as perceived warmth and competence play a role in robot likeability. We conducted an online survey (N=191) studying two humanoid robots with different characteristics. Our exploratory study empirically indicates that the investigated variables are significantly correlated with robot likeability for both robots but with differing strengths. Further, the likeability of the two robots is predicted by differing variables, with robot voice being the only common predictor for both robots.
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Subject (DDC)
330 - Wirtschaft
Event
17th ACM/IEEE International Conference on Human-Robot Interaction (HRI'22)
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07.03.2022
Conference end date
10.03.2022
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978-1-5386-8554-9
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Language
English
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Yes
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Published
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Closed
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Citation
ZHONG, Jia, Nicolas MÜRSET, Janine JÄGER und Theresa SCHMIEDEL, 2022. Exploring Variables That Affect Robot Likeability. In: 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI′22). Sapporo. 2022. S. 1140–1145. ISBN 978-1-5386-8554-9. Verfügbar unter: https://irf.fhnw.ch/handle/11654/43154