Shaping Relatable Robots: A Child-Centered Approach to Social Personalization
HRI '24 Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction(2024)
摘要
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.
更多查看译文
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要