Analyzing Social Interactions: Promises and Challenges of Cross Recurrence Quantification Analysis
New article by IMC researchers Riccardo Fusaroli, Sebastian Wallot and Ivana Konvalinka published in "Springer Proceedings in Mathematics & Statistics"
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April has turned out to be quite a busy publishing month for IMC researcher Riccardo Fusaroli. No fewer than three newly published articles bears his name - this one co-authored by fellow IMC reseachers Wallot and Konvalinka. "Analyzing Social Interactions: Promises and Challenges of Cross Recurrence Quantification Analysis" is the title of the article published by Springer Proceedings in Mathematics & Statistics.
The 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.