On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony

Abstract Research indicates that interpersonal synchronisation leads to more closeness, mutual coordination, alliance, or affiliation between the synchronized persons. There is a pathway leading from interpersonal interaction to interpersonal synchronisation, and then to interpersonal affiliation. I...

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Main Authors: Sophie C. F. Hendrikse, Jan Treur, Tom F. Wilderjans, Suzanne Dikker, Sander L. Koole
Format: Article
Language:English
Published: Springer Nature 2023-04-01
Series:Human-Centric Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1007/s44230-023-00019-1
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author Sophie C. F. Hendrikse
Jan Treur
Tom F. Wilderjans
Suzanne Dikker
Sander L. Koole
author_facet Sophie C. F. Hendrikse
Jan Treur
Tom F. Wilderjans
Suzanne Dikker
Sander L. Koole
author_sort Sophie C. F. Hendrikse
collection DOAJ
description Abstract Research indicates that interpersonal synchronisation leads to more closeness, mutual coordination, alliance, or affiliation between the synchronized persons. There is a pathway leading from interpersonal interaction to interpersonal synchronisation, and then to interpersonal affiliation. If persons act on temporal patterns of synchrony, this suggests that they possess a facility to detect such patterns. Therefore, we assume here that persons indeed detect when temporal patterns of synchrony occur and that a stronger affiliation or connection may grow from this detection. We developed a multi-adaptive agent model that contains detector states for both intrapersonal and interpersonal synchrony, which in turn dynamically affect interpersonal affiliation. We evaluated the behaviour of two agents in multiple simulation experiments in which stochastic stimuli were manipulated. Several expected types of patterns were reproduced computationally, and our multi-adaptive agent model may serve as base for the development of virtual agents that can synchronise with their users. By multiple simulation experiments for stochastic stimuli from the environment, it was found that indeed several expected types of patterns are reproduced computationally.
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spelling doaj.art-f08b6341f0cc48649652f5aed10b59292023-11-05T12:20:25ZengSpringer NatureHuman-Centric Intelligent Systems2667-13362023-04-013212314610.1007/s44230-023-00019-1On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal SynchronySophie C. F. Hendrikse0Jan Treur1Tom F. Wilderjans2Suzanne Dikker3Sander L. Koole4Amsterdam Emotion Regulation Lab, Department of Clinical Psychology, Vrije Universiteit AmsterdamSocial AI Group, Department of Computer Science, Vrije Universiteit AmsterdamAmsterdam Emotion Regulation Lab, Department of Clinical Psychology, Vrije Universiteit AmsterdamAmsterdam Emotion Regulation Lab, Department of Clinical Psychology, Vrije Universiteit AmsterdamAmsterdam Emotion Regulation Lab, Department of Clinical Psychology, Vrije Universiteit AmsterdamAbstract Research indicates that interpersonal synchronisation leads to more closeness, mutual coordination, alliance, or affiliation between the synchronized persons. There is a pathway leading from interpersonal interaction to interpersonal synchronisation, and then to interpersonal affiliation. If persons act on temporal patterns of synchrony, this suggests that they possess a facility to detect such patterns. Therefore, we assume here that persons indeed detect when temporal patterns of synchrony occur and that a stronger affiliation or connection may grow from this detection. We developed a multi-adaptive agent model that contains detector states for both intrapersonal and interpersonal synchrony, which in turn dynamically affect interpersonal affiliation. We evaluated the behaviour of two agents in multiple simulation experiments in which stochastic stimuli were manipulated. Several expected types of patterns were reproduced computationally, and our multi-adaptive agent model may serve as base for the development of virtual agents that can synchronise with their users. By multiple simulation experiments for stochastic stimuli from the environment, it was found that indeed several expected types of patterns are reproduced computationally.https://doi.org/10.1007/s44230-023-00019-1Social interactionInterpersonal synchronyIntrapersonal synchronyConnectingBehavioural adaptivityAdaptive agent model
spellingShingle Sophie C. F. Hendrikse
Jan Treur
Tom F. Wilderjans
Suzanne Dikker
Sander L. Koole
On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony
Human-Centric Intelligent Systems
Social interaction
Interpersonal synchrony
Intrapersonal synchrony
Connecting
Behavioural adaptivity
Adaptive agent model
title On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony
title_full On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony
title_fullStr On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony
title_full_unstemmed On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony
title_short On Becoming in Sync with Yourself and Others: An Adaptive Agent Model for How Persons Connect by Detecting Intrapersonal and Interpersonal Synchrony
title_sort on becoming in sync with yourself and others an adaptive agent model for how persons connect by detecting intrapersonal and interpersonal synchrony
topic Social interaction
Interpersonal synchrony
Intrapersonal synchrony
Connecting
Behavioural adaptivity
Adaptive agent model
url https://doi.org/10.1007/s44230-023-00019-1
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