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.
Social traits from stochastic paths in the core affect space / Boccignone, Giuseppe; Cuculo, Vittorio; D'Amelio, Alessandro; Lanzarotti, Raffaella. - (2019), pp. 314-319. (Intervento presentato al convegno EAI International Conference on Pervasive Computing Technologies for Healthcare tenutosi a Trento nel 2019) [10.1145/3329189.3329220].
Social traits from stochastic paths in the core affect space
Cuculo, Vittorio;
2019
Abstract
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.
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p314-boccignone.pdf
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