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Intention to work with social robots: the role of perceived robot use self-efficacy, attitudes towards robots, and beliefs in human nature uniqueness
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Abstract(s)
Recent studies have enlightened the crucial role of perceived robot use self-efficacy in human robot interaction. This paper investigates the interplay between perceived robot use self-efficacy, attitudes towards robots, and beliefs in human nature uniqueness (BHNU) on the intention to work with social robots. Participants (N = 117) first filled out a questionnaire measuring their BHNU and attitudes towards robots. Then, they were randomly exposed to a video displaying a humanoid social robot (either humanlike or mechanical). Finally, participants indicated their robot use self-efficacy and their intention to work with the displayed social robot. Regression and serial mediation analyses showed the following: (1) the intention to work with social robots was significantly predicted by robot use self-efficacy and attitudes towards robots; (2) BHNU has a direct influence on attitudes towards robots and an indirect influence on the intention to work with social robots through attitudes towards robots and robot use self-efficacy. Our findings expand the current research on the impact of perceived robot use self-efficacy on intention to work with social robots. Implications for human robot interaction and human resource management are discussed.
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Keywords
Social robots Robot use self-efficacy Behavioral intention Working with robots Beliefs in human nature uniqueness scale Negative attitude towards robot scale Human resource management Artificial intelligence
Citation
Publisher
MDPI