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

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

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

14 Citations (Scopus)

34 Downloads (Pure)

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	HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
Publisher	IEEE
Pages	80-89
Number of pages	10
ISBN (Electronic)	978-1-5386-8554-9, 978-1-6654-0731-1
DOIs	https://doi.org/10.1109/HRI53351.2022.9889446
Publication status	Published - 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
Volume	2022-March
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

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

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

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10.1109/HRI53351.2022.9889446

Memory_Based_Personalization_for_Fostering_a_Long_Term_Child_Robot_RelationshipFinal published version, 223 KB

Cite this

Ligthart, M. E. U., Neerincx, M. A., & Hindriks, K. V. (2022). Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship. In HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (pp. 80-89). (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2022-March). IEEE. 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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note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 ; Conference date: 07-03-2022 Through 10-03-2022",

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language = "English",

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Ligthart, MEU, Neerincx, MA & Hindriks, KV 2022, Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship. in HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction, vol. 2022-March, IEEE, 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.
HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. IEEE, 2022. p. 80-89 (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2022-March).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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

Abstract

Publication series

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Bibliographical note

Keywords

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