Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship

Mike E.U. Ligthart; Mark A. Neerincx; Koen V. Hindriks

doi:10.1109/HRI53351.2022.9889446

Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Subtitle of host publication	[Proceedings]
Publisher	IEEE Computer Society
Pages	80-89
Number of pages	10
ISBN (Electronic)	9781665407311
ISBN (Print)	9781665407328
DOIs	https://doi.org/10.1109/HRI53351.2022.9889446
Publication status	Published - 29 Sept 2022
Event	17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Sapporo, Japan Duration: 7 Mar 2022 → 10 Mar 2022

Publication series

Name	ACM/IEEE International Conference on Human-Robot Interaction
Number	March
Volume	2022
ISSN (Electronic)	2167-2148

Conference

Conference	17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Country/Territory	Japan
City	Sapporo
Period	7/03/22 → 10/03/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

child-robot interaction
long-term
longitudinal user study
memory
personal-ization
social robots

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10.1109/HRI53351.2022.9889446

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Ligthart, M. E. U., Neerincx, M. A., & Hindriks, K. V. (2022). Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI): [Proceedings] (pp. 80-89). (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2022, No. March). IEEE Computer Society. https://doi.org/10.1109/HRI53351.2022.9889446

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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.",

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Ligthart, MEU, Neerincx, MA & Hindriks, KV 2022, Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship. in 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI): [Proceedings]. ACM/IEEE International Conference on Human-Robot Interaction, no. March, vol. 2022, IEEE Computer Society, pp. 80-89, 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022, Sapporo, Japan, 7/03/22. https://doi.org/10.1109/HRI53351.2022.9889446

Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship. / Ligthart, Mike E.U.; Neerincx, Mark A.; Hindriks, Koen V.
2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI): [Proceedings]. IEEE Computer Society, 2022. p. 80-89 (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2022, No. March).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Ligthart MEU, Neerincx MA, Hindriks KV. Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI): [Proceedings]. IEEE Computer Society. 2022. p. 80-89. (ACM/IEEE International Conference on Human-Robot Interaction; March). Epub 2022 Mar 7. doi: 10.1109/HRI53351.2022.9889446

Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship

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