Title
Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship
Author
Ligthart, M.E.U.
Neerincx, M.
Hindriks, K.V.
Contributor
Sakamoto, D. (editor)
Weiss, A. (editor)
Publication year
2022
Abstract
After the novelty effect wears off children need a new motivator to keep interacting with a social robot. Enabling children to build a relationship with the robot is the key for facilitating a sustainable long-term interaction. We designed a memory-based personalization strategy that safeguards the continuity between sessions and tailors the interaction to the child's needs and interests to foster the child-robot relationship. A longitudinal (five sessions in two months) user study (N = 46, 8-10 y.o) showed that the strategy kept children interested longer in the robot, fosters more closeness, elicits more positive social cues, and adds continuity between sessions.
Subject
Child-robot interaction
Social robots
Personalization
Memory
Long-term
Longitudinal user study
To reference this document use:
http://resolver.tudelft.nl/uuid:2d45b5a9-1b20-477c-95db-2fb125c9445b
TNO identifier
966577
Publisher
IEEE, Piscataway, NJ
ISBN
9781538685549
Source
DEI HRI 2022 Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community, Sapporo, Hokkaido, Japan March 7-11 virtual conference, 80-89
Document type
conference paper