Date: Friday
4th April
Time: 3:30 pm
– 5:00 pm
Place: Conference room, Pavillon Jardin - 29,
rue d'Ulm
Title: “Second-person
neuroscience and complex systems approach of social interaction”
Abstract: This
talk will present empirical investigations of both human-human and
human-machine interactions, with a focus on the neurobiological mechanisms of
social cognition and the multi-scale modeling of neural, behavioral and social
coordination dynamics. While several theories have been proposed to infer the
link between neurobiology and social psychology, the dynamical and reciprocal
components of human interaction are still poorly explored. This is especially
true for social neuroscience, where recording simultaneously the brain activity
from several subjects remains difficult. This is nevertheless possible with a
neuroimaging methodology called "hyperscanning". I will first present
how the combination of situated social paradigms with hyperscanning recordings
allows to relate social patterns at the behavioral level with the emergence of
specific patterns at the brain level (Dumas et al. PLoS ONE 2010; Dumas et al.
Front. Hum. Neurosci. 2012). The related intra- and inter-brain patterns
reflect different aspects of social interaction, such as interactional
synchrony, anticipation of other's actions and co-regulation of turn-taking.
Then, I will present biologically inspired numerical simulations can reproduce
some of the results and how it points out a potential role of the human brain
anatomical structure in the facilitation of sensorimotor coordination and thus
may partly account for our propensity to enter in couplings with others (Dumas
et al. PLoS ONE 2012). Finally, I will present a recent tool called the Human
Dynamic Clamp, which consists in an artificial agent integrating equations of
human motion at the neurobehavioral level. A human and this "virtual
partner" are then reciprocally coupled in real-time, which allow
controlling both its intrinsic dynamics and the coupling with the human, while
maintaining the continuous flow of interaction. This generalizes previous
empirical paradigms and also provides a Turing-test for theoretical models of
social cognition. Preliminary results already showed an effect of the coupling
on the collective behavior and attribution of intention. In conclusion, I will
compare these results with other published studies (Froese et al. 2014), and
discuss their place in the current theoretical debate about the constitutive
role of social interaction for social cognition (Gallotti 2012; Gallotti &
Frith 2013).