Abstract
While social robots hold signifcant potential in education, not all children fnd 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 diferent age groups. Results indicated that children found age-personalized humor more amusing and felt a
stronger afnity 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.
stronger afnity 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.
| Original language | English |
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| Title of host publication | HRI'24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction |
| Place of Publication | New York, NY |
| Publisher | Association for Computing Machinery |
| Pages | 127-129 |
| Number of pages | 3 |
| ISBN (Electronic) | 978-8-4007-0323-2 |
| DOIs | |
| Publication status | Published - 11 Mar 2024 |
| Event | 19th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024 - University Memorial Center, Boulder, United States Duration: 11 Mar 2024 → 15 Mar 2024 Conference number: 19 |
Conference
| Conference | 19th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024 |
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| Abbreviated title | HRI 2024 |
| Country/Territory | United States |
| City | Boulder |
| Period | 11/03/24 → 15/03/24 |
Keywords
- 2024 OA procedure