Social traits from stochastic paths in the core affect space

We discuss a preliminary investigation on the feasibility of inferring traits of social participation from the observable behaviour of individuals involved in dyadic interactions. Trait inference relies on a stochastic model of the dynamics occurring in the individual core affect state-space. Results obtained on a publicly available interaction dataset are presented and examined.