Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity

Sophie C.F. Hendrikse; Jan Treur; Tom F. Wilderjans; Suzanne Dikker; Sander L. Koole

doi:10.1007/978-3-031-15037-1_30

Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity

Sophie C.F. Hendrikse^*, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole

^*Corresponding author for this work

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Abstract

Interpersonal synchrony usually means that people mutually adapt their behavior to each other over time. Such behavioral adaptivity is assumed to be driven by some form of subjective internal synchrony detection. In contrast to objective synchrony detection by an external (third-party) observer, subjective synchrony detection relies solely on information that is perceived by each of the synchronizing persons. Simultaneous actions of the two persons in principle cannot be sensed instantaneously by one of the two persons, but will involve time lags. These time lags reflect the time differences between a person’s own actions and the sensing of the actions of the other person. In the computational agent model described in this paper, we explore the role of time lags in different types of subjective synchrony detection and its involvement in behavioral adaptivity. Multiple simulation experiments show expected types of patterns of subjective time-lagged synchrony detection and related behavioral adaptivity.

Original language	English
Title of host publication	Brain Informatics
Subtitle of host publication	15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings
Editors	Mufti Mahmud, Jing He, Stefano Vassanelli, André van Zundert, Ning Zhong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	369-383
Number of pages	15
ISBN (Electronic)	9783031150371
ISBN (Print)	9783031150364
DOIs	https://doi.org/10.1007/978-3-031-15037-1_30
Publication status	Published - 2022
Event	15th International Conference on Brain Informatics, BI 2022 - Virtual, Online Duration: 15 Jul 2022 → 17 Jul 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13406 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Brain Informatics, BI 2022
City	Virtual, Online
Period	15/07/22 → 17/07/22

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Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

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10.1007/978-3-031-15037-1_30

Becoming Attuned to Each Other Over TimeFinal published version, 3.62 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/359993066_A_Computational_Neural_Agent_Model_for_the_Role_of_Time_Lags_in_Subjective_Synchrony_Detection_and_Related_Behavioural_Adaptivity

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Hendrikse, S. C. F., Treur, J., Wilderjans, T. F., Dikker, S., & Koole, S. L. (2022). Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity. In M. Mahmud, J. He, S. Vassanelli, A. van Zundert, & N. Zhong (Eds.), Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings (pp. 369-383). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13406 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15037-1_30

Hendrikse, Sophie C.F. ; Treur, Jan ; Wilderjans, Tom F. et al. / Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity. Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. editor / Mufti Mahmud ; Jing He ; Stefano Vassanelli ; André van Zundert ; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2022. pp. 369-383 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity",

abstract = "Interpersonal synchrony usually means that people mutually adapt their behavior to each other over time. Such behavioral adaptivity is assumed to be driven by some form of subjective internal synchrony detection. In contrast to objective synchrony detection by an external (third-party) observer, subjective synchrony detection relies solely on information that is perceived by each of the synchronizing persons. Simultaneous actions of the two persons in principle cannot be sensed instantaneously by one of the two persons, but will involve time lags. These time lags reflect the time differences between a person{\textquoteright}s own actions and the sensing of the actions of the other person. In the computational agent model described in this paper, we explore the role of time lags in different types of subjective synchrony detection and its involvement in behavioral adaptivity. Multiple simulation experiments show expected types of patterns of subjective time-lagged synchrony detection and related behavioral adaptivity.",

author = "Hendrikse, {Sophie C.F.} and Jan Treur and Wilderjans, {Tom F.} and Suzanne Dikker and Koole, {Sander L.}",

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Hendrikse, SCF , Treur, J, Wilderjans, TF, Dikker, S & Koole, SL 2022, Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity. in M Mahmud, J He, S Vassanelli, A van Zundert & N Zhong (eds), Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13406 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 369-383, 15th International Conference on Brain Informatics, BI 2022, Virtual, Online, 15/07/22. https://doi.org/10.1007/978-3-031-15037-1_30

Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity. / Hendrikse, Sophie C.F.; Treur, Jan; Wilderjans, Tom F. et al.
Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. ed. / Mufti Mahmud; Jing He; Stefano Vassanelli; André van Zundert; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2022. p. 369-383 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13406 LNAI).

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

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Hendrikse SCF , Treur J, Wilderjans TF, Dikker S, Koole SL. Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity. In Mahmud M, He J, Vassanelli S, van Zundert A, Zhong N, editors, Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 369-383. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2022 Aug 20. doi: 10.1007/978-3-031-15037-1_30

Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity

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