Network Analysis of Multimodal, Multiscale Coordination in Dyadic Problem Solving

Alexandra PaxtonCognitive & Information Sciences, University of California, Merced
Drew H. AbneyCognitive & Information Sciences, University of California, Merced
Christopher T. KelloCognitive & Information Sciences, University of California, Merced
Rick DaleCognitive & Information Sciences, University of California, Merced

Abstract

A recent trend in dyadic interaction research utilizes multiple modalities to better understand phenomena encompassing behavior matching (e.g., synchrony, alignment). Concurrent research has focused on a complementary framework of interaction, assessing the matching of power law distributions of behavior across two people: complexity matching. While both frameworks provide useful insights into dyadic interaction, they have done so independent of one another. We visualize the multimodal, multiscale coordination of dyads engaged in a tower-building task as networks based on the analyses of behavioral and complexity matching in speech and movement. We find that network strength relates to task performance and that high-performing dyads have weaker network strength, which we argue opens up more degrees of freedom affording more flexibility in the dyadic system.

Files

Network Analysis of Multimodal, Multiscale Coordination in Dyadic Problem Solving (553 KB)



Back to Table of Contents