An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction

Filippos Dimopoulos; Edgar Eler; Marieke Timmers; Jan Treur; Sander Koole

doi:10.1007/978-3-031-41774-0_6

An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction

Filippos Dimopoulos, Edgar Eler, Marieke Timmers, Jan Treur, Sander Koole

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

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Abstract

This study analyses the effects of emotional coregulation in the interaction between a distressed human and a bot. Through the coregulation premises, it is expected that an initial emotion contagion process will be applied to the emotional system, increasing the bot's distress level due to the influence of the human's distress. With the bot is set to have optimal emotion regulation, its distress levels should decrease significantly once the emotion regulation process is activated, which through the emotion contagion should result in a successful coregulation of the human's emotion. The results show how this co-regulation process occurs.

Original language	English
Title of host publication	Advances in Computational Collective Intelligence
Subtitle of host publication	15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings
Editors	Ngoc Thanh Nguyen, Adrianna Kozierkiewicz, Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen
Publisher	Springer Nature Switzerland AG
Pages	68-79
Number of pages	12
ISBN (Electronic)	9783031417740
ISBN (Print)	9783031417733
DOIs	https://doi.org/10.1007/978-3-031-41774-0_6
Publication status	Published - 2023

Publication series

Name	Communications in Computer and Information Science
Volume	1864 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

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10.1007/978-3-031-41774-0_6

An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot InteractionFinal published version, 3.04 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/370765515

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Dimopoulos, F., Eler, E., Timmers, M., Treur, J., & Koole, S. (2023). An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction. In N. T. Nguyen, A. Kozierkiewicz, N. T. Nguyen, J. Botzheim, L. Gulyás, M. Nunez, J. Treur, & G. Vossen (Eds.), Advances in Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings (pp. 68-79). (Communications in Computer and Information Science; Vol. 1864 CCIS). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-41774-0_6

Dimopoulos, Filippos ; Eler, Edgar ; Timmers, Marieke et al. / An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction. Advances in Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings. editor / Ngoc Thanh Nguyen ; Adrianna Kozierkiewicz ; Ngoc Thanh Nguyen ; János Botzheim ; László Gulyás ; Manuel Nunez ; Jan Treur ; Gottfried Vossen. Springer Nature Switzerland AG, 2023. pp. 68-79 (Communications in Computer and Information Science).

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abstract = "This study analyses the effects of emotional coregulation in the interaction between a distressed human and a bot. Through the coregulation premises, it is expected that an initial emotion contagion process will be applied to the emotional system, increasing the bot's distress level due to the influence of the human's distress. With the bot is set to have optimal emotion regulation, its distress levels should decrease significantly once the emotion regulation process is activated, which through the emotion contagion should result in a successful coregulation of the human's emotion. The results show how this co-regulation process occurs.",

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Dimopoulos, F, Eler, E, Timmers, M, Treur, J & Koole, S 2023, An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction. in NT Nguyen, A Kozierkiewicz, NT Nguyen, J Botzheim, L Gulyás, M Nunez, J Treur & G Vossen (eds), Advances in Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings. Communications in Computer and Information Science, vol. 1864 CCIS, Springer Nature Switzerland AG, pp. 68-79. https://doi.org/10.1007/978-3-031-41774-0_6

An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction. / Dimopoulos, Filippos; Eler, Edgar; Timmers, Marieke et al.
Advances in Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings. ed. / Ngoc Thanh Nguyen; Adrianna Kozierkiewicz; Ngoc Thanh Nguyen; János Botzheim; László Gulyás; Manuel Nunez; Jan Treur; Gottfried Vossen. Springer Nature Switzerland AG, 2023. p. 68-79 (Communications in Computer and Information Science; Vol. 1864 CCIS).

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

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AB - This study analyses the effects of emotional coregulation in the interaction between a distressed human and a bot. Through the coregulation premises, it is expected that an initial emotion contagion process will be applied to the emotional system, increasing the bot's distress level due to the influence of the human's distress. With the bot is set to have optimal emotion regulation, its distress levels should decrease significantly once the emotion regulation process is activated, which through the emotion contagion should result in a successful coregulation of the human's emotion. The results show how this co-regulation process occurs.

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Dimopoulos F, Eler E, Timmers M, Treur J , Koole S. An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction. In Nguyen NT, Kozierkiewicz A, Nguyen NT, Botzheim J, Gulyás L, Nunez M, Treur J, Vossen G, editors, Advances in Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings. Springer Nature Switzerland AG. 2023. p. 68-79. (Communications in Computer and Information Science). Epub 2023 Sept 22. doi: 10.1007/978-3-031-41774-0_6

An Agent-Based Network Model for Interpersonal Emotion Regulation in a Human-Bot Interaction

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