Tilting Together

An Information-Theoretic Characterization of Behavioral Roles in Rhythmic Dyadic Interaction

verfasst von

Dari Trendafilov, Gerd Schmitz, Tonghun Hwang, Alfred Oliver Effenberg, Daniel Polani

Abstract

Every joint collaborative physical activity performed by a group of people, e.g., carrying a table, typically leads to the emergence of spatiotemporal coordination of individual motor behavior. Such interpersonal coordination can arise solely based on the observation of the partners' and/or the object's movements, without the presence of verbal communication. In this paper, we investigate how the social coupling between two individuals in a collaborative task translates into measured objective and subjective performance indicators recorded in two different studies. We analyse the trends in the dyadic interrelationship based on the information-theoretic measure of transfer entropy and identify emerging leader-follower roles. In our experimental paradigm, the actions of the pair of subjects are continuously and seamlessly fused, resulting in a joint control of an object simulated on a tablet computer. Subjects need to synchronize their movements with a 90° phase difference in order to keep the object (a ball) rotating precisely on a predefined circular or elliptic trajectory on a tablet device. Results demonstrate how the identification of causal dependencies in this social interaction task could reveal specific trends in human behavior and provide insights into the emergence of social sensorimotor contingencies.

Organisationseinheit(en)

Institut für Sportwissenschaft

Externe Organisation(en)

Johannes Kepler Universität Linz (JKU)
University of Hertfordshire

Typ

Artikel

Journal

Frontiers in Human Neuroscience

Band

14

Anzahl der Seiten

13

ISSN

1662-5161

Publikationsdatum

25.05.2020

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Neuropsychologie und Physiologische Psychologie, Neurologie, Psychiatrie und psychische Gesundheit, Biologische Psychiatrie, Behaviorale Neurowissenschaften

Ziele für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

Elektronische Version(en)

https://doi.org/10.3389/fnhum.2020.00185 (Zugang: Offen)