An insight into humans helping Robots: The role of attitudes, anthropomorphic cues, and context of useOSF

Robots are increasingly present in our society. Their successful integration depends, however, on understanding and fostering pro-social behavior towards robots, in this case, helping. To better understand people's reported willingness to help robots across different contexts (delivery, medical...

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Bibliographic Details
Main Authors: Andreea E. Potinteu, Nadia Said, Georg Jahn, Markus Huff
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Computers in Human Behavior: Artificial Humans
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Online Access:http://www.sciencedirect.com/science/article/pii/S294988212500043X
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Summary:Robots are increasingly present in our society. Their successful integration depends, however, on understanding and fostering pro-social behavior towards robots, in this case, helping. To better understand people's reported willingness to help robots across different contexts (delivery, medical, service, and security), we conducted two preregistered studies on a German-speaking population (N = 414, and N = 541, representative of age and gender). We assessed attitudes, knowledge about robots, and anthropomorphism and investigated their effect on reported willingness to help. Results show that positive attitudes significantly predicted reported higher willingness to help. Having more knowledge about robots increased reported willingness to help in Study 2. Additionally, we found no effect of anthropomorphism, neither in the form of robot appearance nor as participants' own view about robots, on reported willingness to help. Furthermore, results point to a context-dependency for willingness to help, with participants preferring to help robots in a medical context compared to a security one, for example. Our findings thus highlight the relevance of context and attitudes in understanding helping behavior towards robots. Additionally, our results raise questions about the relevance of anthropomorphism in pro-sociality toward robots.
ISSN:2949-8821