Seminar: "What your moves say about you: Action-perception dynamics, human synchronization and mental health"

 

What your moves say about you: Action-perception dynamics, human synchronization and mental health

Speaker

Pr. Benoît G. Bardy
EuroMov, Univ. Montpellier, France & Institut Universitaire de France

Abstract

In this presentation, we will emphasize the informational nature of human synchronization, together with its consequences for the understanding of how the way we move reveals who we are. The notion of Individual Motor Signature (IMS) will be presented, reducing to one low-dimensional variable the interaction of multiple degrees of freedom at various levels of the human body (Slowinski et al., 2016). A novel way to evaluate how these signatures are influenced, when interacting in a dyad or in a group (Alderisio et al., 2017), by physical and movement similarity, social competences and mental deficits, will be introduced. We will present a recently developed digital architecture that modulates IMS in real-time during social interaction with artificial agents (avatars and robots), and we will show how this architecture can be used for the rehabilitation of patients suffering from mental and social disorders (Slowinski et al., 2017), as well as for the understanding of how group synchronization emerges in natural situations.

 
References
Alderisio, F., G. Fiore, Salesse, R., Bardy, B. G., & di Bernardo, M. (2017). Interaction patterns and individual dynamics shape the way we move in synchrony. Scientific Reports, 6846.

Słowiński, P., Zhai, C., Alderisio, F., Salesse, R., Gueugnon, M., Marin, L., Bardy, B. G., di Bernardo, M., & Tsaneva-Atanasova, K. (2016). Dynamic similarity promotes interpersonal coordination in joint-action. Journal of the Royal Society Interface, 13: 20151093.

Słowiński, P., Zhai, C., Alderisio, F., Shen, Y., Tino, P., Bortolon, C., Burca, M., Raffard, S., Capdevielle, D., Cohen, L., Khoramshahi, M., Billard, A., Salesse, R., Gueugnon, M., Marin, L., Bardy, B. G., di Bernardo, M., Tsaneva-Atanasova, K. (2017). Kinematic biomarkers of schizophrenia. Npj Schizophrenia, 3:8

Acknowledgements. This work was funded by the European Project AlterEgo FP7 ICT 2.9 - Cognitive Sciences and Robotics, Grant Number 600610 (www.euromov.eu/alterego).