Non-verbal behaviors such as gaze, facial expressions, gestures, and vocal behavior carry significant information regarding human personality, emotions, engagement, intentions, action goals, and focus of attention. A large part of human communication takes place non-verbally (and often implicitly) during an explicit exchange of thoughts, attitudes, concerns, and feelings. Analyzing the basic principles of human communication through non-verbal signals is a long-standing research focus in cognitive and social psychology. However, the automatic realization of such analyses, especially by using machine learning (ML), or, in general, computational techniques, is a relatively unexplored avenue, although these techniques can be very efficient and effective.

Editorial: Computational Approaches for Human-Human and Human-Robot Social Interactions

Beyan, C.
;
Murino, V.;
2020-01-01

Abstract

Non-verbal behaviors such as gaze, facial expressions, gestures, and vocal behavior carry significant information regarding human personality, emotions, engagement, intentions, action goals, and focus of attention. A large part of human communication takes place non-verbally (and often implicitly) during an explicit exchange of thoughts, attitudes, concerns, and feelings. Analyzing the basic principles of human communication through non-verbal signals is a long-standing research focus in cognitive and social psychology. However, the automatic realization of such analyses, especially by using machine learning (ML), or, in general, computational techniques, is a relatively unexplored avenue, although these techniques can be very efficient and effective.
2020
computational approaches
human robot interaction (HRI)
human-human interaction
machine learning
social interactions
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1121832
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