Analyzing Social Interactions: Promises and Challenges of Cross Recurrence Quantification Analysis

Riccardo Fusaroli, Ivana Konvalinka, Sebastian Wallot

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

The scientific investigation of social interactions presents substantial challenges: interacting agents engage each other at many different levels and timescales (motor and physiological coordination, joint attention, linguistic exchanges, etc.), often making their behaviors interdependent in non-linear ways. In this paper we review the current use of Cross Recurrence Quantification Analysis (CRQA) in the analysis of social interactions, and assess its potential and challenges. We argue that the method can sensitively grasp the dynamics of human interactions, and that it has started producing valuable knowledge about them. However, much work is still necessary: more systematic analyses and interpretation of the recurrence indexes and more consistent reporting of the results,more emphasis on theory-driven studies, exploring interactions involving more than 2 agents and multiple aspects of coordination,and assessing and quantifying complementary coordinative mechanisms. These challenges are discussed and operationalized in recommendations to further develop the field.
Original languageEnglish
Title of host publicationTranslational Recurrences : From Mathematical Theory to Real-World Applications
EditorsN. Marwan, M. Riley, A. Giuliani, C. L. Webber Jr.
PublisherSpringer
Publication date2014
Pages137-155
ISBN (Print)978-3-319-09530-1
ISBN (Electronic)978-3-319-09531-8
DOIs
Publication statusPublished - 2014
SeriesSpringer Proceedings in Mathematics & Statistics
Volume103
ISSN2194-1009

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