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New analysis and modeling directions in social interaction science = emergent multimodal interpersonal synchrony, affiliation, and bonding /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New analysis and modeling directions in social interaction science/ edited by Sophie C. F. Hendrikse, Jan Treur, Sander L. Koole.
其他題名:	emergent multimodal interpersonal synchrony, affiliation, and bonding /
其他作者:	Hendrikse, Sophie C. F.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	ix, 669 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Introduction to Adaptivity in Social Interaction Science -- Modeling Coevolution of Dynamics, Adaptivity and Control of Adaptivity by Self-Modeling Networks -- The Emergence of Multimodal Interpersonal Synchrony During Social Interaction: A Network Model -- Interpersonal Emotion Regulation through Attunement of Emotions in Human-Bot Interaction: an Agent-Based Network Model, etc.
Contained By:	Springer Nature eBook
標題:	Social interaction. -
電子資源:	https://doi.org/10.1007/978-3-031-99968-0
ISBN:	9783031999680

New analysis and modeling directions in social interaction science = emergent multimodal interpersonal synchrony, affiliation, and bonding /
New analysis and modeling directions in social interaction scienceemergent multimodal interpersonal synchrony, affiliation, and bonding /[electronic resource] :edited by Sophie C. F. Hendrikse, Jan Treur, Sander L. Koole. - Cham :Springer Nature Switzerland :2025. - ix, 669 p. :ill. (chiefly col.), digital ;24 cm. - Studies in systems, decision and control,v. 6142198-4190 ;. - Studies in systems, decision and control ;v. 614..

Introduction to Adaptivity in Social Interaction Science -- Modeling Coevolution of Dynamics, Adaptivity and Control of Adaptivity by Self-Modeling Networks -- The Emergence of Multimodal Interpersonal Synchrony During Social Interaction: A Network Model -- Interpersonal Emotion Regulation through Attunement of Emotions in Human-Bot Interaction: an Agent-Based Network Model, etc.

There is much scientific literature on multimodal social interaction between human and/or virtual agents, and related multimodal synchrony analysis and behavioural adaptivity within the interaction such as affiliation and bonding. However, due to its strongly cyclical character, complexity, and adaptivity, mathematical formalisation and computational simulation of it is a nontrivial topic. Moreover, the subjective, agent-oriented perspective on synchrony analysis has not yet received much attention in the literature. This book provides from an agent-oriented perspective an overview of recent work on mathematical formalisation and computational simulation of multimodal interaction, subjective multimodal synchrony analysis, and related behavioural adaptivity underlying, for example, affiliation, liking and bonding. It does so by exploiting the possibilities of multi-time-scale, multi-adaptive, multi-level self-modeling network models for agents to analyse and model these dynamic and adaptive processes formally. In this way it contributes to the development of a solid basis for social interaction science.

ISBN: 9783031999680

Standard No.: 10.1007/978-3-031-99968-0doiSubjects--Topical Terms:

520415
Social interaction.

LC Class. No.: HM1111

Dewey Class. No.: 302

New analysis and modeling directions in social interaction science = emergent multimodal interpersonal synchrony, affiliation, and bonding /
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520 $a There is much scientific literature on multimodal social interaction between human and/or virtual agents, and related multimodal synchrony analysis and behavioural adaptivity within the interaction such as affiliation and bonding. However, due to its strongly cyclical character, complexity, and adaptivity, mathematical formalisation and computational simulation of it is a nontrivial topic. Moreover, the subjective, agent-oriented perspective on synchrony analysis has not yet received much attention in the literature. This book provides from an agent-oriented perspective an overview of recent work on mathematical formalisation and computational simulation of multimodal interaction, subjective multimodal synchrony analysis, and related behavioural adaptivity underlying, for example, affiliation, liking and bonding. It does so by exploiting the possibilities of multi-time-scale, multi-adaptive, multi-level self-modeling network models for agents to analyse and model these dynamic and adaptive processes formally. In this way it contributes to the development of a solid basis for social interaction science.
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