Understanding the mental state of other people is an important skill for intelligent agents and robots to operate within social environments. However, the mental processes involved in ‘mind-reading’ are complex. One explanation of such processes is Simulation Theory—it is supported by a large body of neuropsychological research. Yet, determining the best computational model or theory to use in simulation-style emotion detection, is far from being understood. In this work, we use Simulation Theory and neuroscience findings on Mirror-Neuron Systems as the basis for a novel computational model, as a way to handle affective facial expressions. The model is based on a probabilistic mapping of observations from multiple identities onto a single fixed identity (‘internal transcoding of external stimuli’), and then onto a latent space (‘phenomenological response’). Together with the proposed architecture we present some promising preliminary results.
Affective facial expression processing via simulation : a probabilistic model / J. Vitale, M. Williams, B. Johnston, G. Boccignone. - In: BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES. - ISSN 2212-683X. - 10:C(2014 Oct), pp. 30-41. [10.1016/j.bica.2014.11.005]
Affective facial expression processing via simulation : a probabilistic model
G. BoccignoneUltimo
2014
Abstract
Understanding the mental state of other people is an important skill for intelligent agents and robots to operate within social environments. However, the mental processes involved in ‘mind-reading’ are complex. One explanation of such processes is Simulation Theory—it is supported by a large body of neuropsychological research. Yet, determining the best computational model or theory to use in simulation-style emotion detection, is far from being understood. In this work, we use Simulation Theory and neuroscience findings on Mirror-Neuron Systems as the basis for a novel computational model, as a way to handle affective facial expressions. The model is based on a probabilistic mapping of observations from multiple identities onto a single fixed identity (‘internal transcoding of external stimuli’), and then onto a latent space (‘phenomenological response’). Together with the proposed architecture we present some promising preliminary results.File | Dimensione | Formato | |
---|---|---|---|
2014_ BICAJournalPreprint.pdf
accesso riservato
Descrizione: Articolo principale
Tipologia:
Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione
939.32 kB
Formato
Adobe PDF
|
939.32 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
1-s2.0-S2212683X14000681-main.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
1.26 MB
Formato
Adobe PDF
|
1.26 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.