Shaping Relatable Robots: A Child-Centered Approach to Social Personalization
Pages 127 - 129
Abstract
While social robots hold significant potential in education, not all children find their interaction with a robot relatable. We present a child-centered research approach that actively involves children in shaping personalized interaction content. We applied this method in a user study (n=102, 8-13 y.o) where we designed robot humor that was tailored to different age groups. Results indicated that children found age-personalized humor more amusing and felt a stronger affinity with it, both personally and at the group level. Our forthcoming longitudinal study will focus on enhancing children's relatedness to the robot and a book, aiming to stimulate reading motivation. We plan to investigate how generative AI can efficiently scale up both co-design and content creation steps.
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March 2024
1408 pages
ISBN:9798400703232
DOI:10.1145/3610978
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- Elizabeth Broadbent,
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Published: 11 March 2024
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