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Exploring Variables That Affect Robot Likeability

Vivienne Jia Zhong, Nicolas Murset, Janine Jäger, Theresa Schmiedel

Year
2022
Citations
8

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.

Keywords

RobotAffect (linguistics)Humanoid robotCompetence (human resources)GestureHuman–computer interactionExploratory researchHuman–robot interactionComputer sciencePsychology

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