Automated co-located human–human interaction analysis has been addressed by the use of
nonverbal communication as measurable evidence of social and psychological phenomena …

The clustering of categorical data is a common and important task in computer science,
offering profound implications across a spectrum of applications. Unlike purely numerical …

Dynamic social interaction networks are an important abstraction to model time-stamped
social interactions such as eye contact, speaking and listening between people. These …

This paper addresses nonverbal behavior analysis for the classification of perceived
personality traits using novel deep visual activity (VA)-based features extracted only from …

This work analyzes the efficacy of verbal and nonverbal features of group conversation for
the task of automatic prediction of group task performance. We describe a new publicly …

We present the first publicly available annotations for the analysis of face-touching behavior.
These annotations are for a dataset composed of audio-visual recordings of small group …

Parent-child nonverbal communication plays a crucial role in understanding their
relationships and assessing their interaction styles. However, prior works have seldom …

Automatic detection of emergent leaders in small groups from nonverbal behaviour is a
growing research topic in social signal processing but existing methods were evaluated on …

Social interactions, such as eye contact, speaking and listening, are ubiquitous in our life
and carry important clues of human's social status and psychological state. With evolving …

Research has shown that the way in which an individual interacts with others contains vital
cues for recognising their real personality traits. The ability to recognise and adapt to the …