Interpersonal Emotion Regulation via Multimodal Interaction with a Bonding Bot: An Adaptive Network Model

Edgar Eler; Jan Treur; Sophie C.F. Hendrikse; Tara Donker; Sander L. Koole

doi:10.1007/978-3-031-99968-0_19

Interpersonal Emotion Regulation via Multimodal Interaction with a Bonding Bot: An Adaptive Network Model

Edgar Eler
, Jan Treur^*
, Sophie C.F. Hendrikse
, Tara Donker
, Sander L. Koole

^*Corresponding author for this work

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

Abstract

This chapter provides and analyses an adaptive network model and simulated data about interaction of a human with a bonding bot to help guide designers in assessing to what extent mapping human-like mental processes and behaviors on their companion bots has valuable effects. The analysis results found here provide a promising perspective for interpersonal emotion regulation using such human-like bonding bots. The bot’s multimodal interactions helped to regulate the human’s emotions by effects of emerging synchrony via synchrony-induced bonding on social contagion even under less favorable circumstances such as poor human emotion regulation capabilities.

Original language	English
Title of host publication	New Analysis and Modeling Directions in Social Interaction Science
Subtitle of host publication	Emergent Multimodal Interpersonal Synchrony, Affiliation, and Bonding
Editors	Sophie C.F. Hendrikse, Jan Treur, Sander L. Koole
Publisher	Springer Nature Switzerland AG
Pages	583-607
Number of pages	25
ISBN (Electronic)	9783031999680
ISBN (Print)	9783031999673, 9783031999703
DOIs	https://doi.org/10.1007/978-3-031-99968-0_19
Publication status	Published - 2025

Publication series

Name	Studies in Systems, Decision and Control
Publisher	Springer
Volume	614
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

Adaptive network model
Bonding
Human-bot interaction
Interpersonal emotion regulation
Multimodal interaction

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10.1007/978-3-031-99968-0_19

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Eler, E., Treur, J., Hendrikse, S. C. F., Donker, T., & Koole, S. L. (2025). Interpersonal Emotion Regulation via Multimodal Interaction with a Bonding Bot: An Adaptive Network Model. In S. C. F. Hendrikse, J. Treur, & S. L. Koole (Eds.), New Analysis and Modeling Directions in Social Interaction Science: Emergent Multimodal Interpersonal Synchrony, Affiliation, and Bonding (pp. 583-607). (Studies in Systems, Decision and Control; Vol. 614). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-99968-0_19

Eler, Edgar ; Treur, Jan ; Hendrikse, Sophie C.F. et al. / Interpersonal Emotion Regulation via Multimodal Interaction with a Bonding Bot : An Adaptive Network Model. New Analysis and Modeling Directions in Social Interaction Science: Emergent Multimodal Interpersonal Synchrony, Affiliation, and Bonding. editor / Sophie C.F. Hendrikse ; Jan Treur ; Sander L. Koole. Springer Nature Switzerland AG, 2025. pp. 583-607 (Studies in Systems, Decision and Control).

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abstract = "This chapter provides and analyses an adaptive network model and simulated data about interaction of a human with a bonding bot to help guide designers in assessing to what extent mapping human-like mental processes and behaviors on their companion bots has valuable effects. The analysis results found here provide a promising perspective for interpersonal emotion regulation using such human-like bonding bots. The bot{\textquoteright}s multimodal interactions helped to regulate the human{\textquoteright}s emotions by effects of emerging synchrony via synchrony-induced bonding on social contagion even under less favorable circumstances such as poor human emotion regulation capabilities.",

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Eler, E , Treur, J, Hendrikse, SCF, Donker, T & Koole, SL 2025, Interpersonal Emotion Regulation via Multimodal Interaction with a Bonding Bot: An Adaptive Network Model. in SCF Hendrikse, J Treur & SL Koole (eds), New Analysis and Modeling Directions in Social Interaction Science: Emergent Multimodal Interpersonal Synchrony, Affiliation, and Bonding. Studies in Systems, Decision and Control, vol. 614, Springer Nature Switzerland AG, pp. 583-607. https://doi.org/10.1007/978-3-031-99968-0_19

Interpersonal Emotion Regulation via Multimodal Interaction with a Bonding Bot: An Adaptive Network Model. / Eler, Edgar ; Treur, Jan; Hendrikse, Sophie C.F. et al.
New Analysis and Modeling Directions in Social Interaction Science: Emergent Multimodal Interpersonal Synchrony, Affiliation, and Bonding. ed. / Sophie C.F. Hendrikse; Jan Treur; Sander L. Koole. Springer Nature Switzerland AG, 2025. p. 583-607 (Studies in Systems, Decision and Control; Vol. 614).

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

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AB - This chapter provides and analyses an adaptive network model and simulated data about interaction of a human with a bonding bot to help guide designers in assessing to what extent mapping human-like mental processes and behaviors on their companion bots has valuable effects. The analysis results found here provide a promising perspective for interpersonal emotion regulation using such human-like bonding bots. The bot’s multimodal interactions helped to regulate the human’s emotions by effects of emerging synchrony via synchrony-induced bonding on social contagion even under less favorable circumstances such as poor human emotion regulation capabilities.

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Eler E , Treur J, Hendrikse SCF, Donker T , Koole SL. Interpersonal Emotion Regulation via Multimodal Interaction with a Bonding Bot: An Adaptive Network Model. In Hendrikse SCF, Treur J, Koole SL, editors, New Analysis and Modeling Directions in Social Interaction Science: Emergent Multimodal Interpersonal Synchrony, Affiliation, and Bonding. Springer Nature Switzerland AG. 2025. p. 583-607. (Studies in Systems, Decision and Control). doi: 10.1007/978-3-031-99968-0_19

Interpersonal Emotion Regulation via Multimodal Interaction with a Bonding Bot: An Adaptive Network Model

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