Social interactions are at the core of social life. However, humans selectively choose their
exchange partners and do not engage in all available opportunities for social encounters. In …

This paper reviews 74 empirical publications that used high-frequency data collection tools
to capture facets of small collaborative groups—ie, papers that conduct Multimodal …

Non-verbal social human behavior forecasting has increasingly attracted the interest of the
research community in recent years. Its direct applications to human-robot interaction and …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Collaborative problem-solving (CPS) is ubiquitous in everyday life, including work, family,
leisure activities, etc. With collaborations increasingly occurring remotely, next-generation …

The coordination of a leader with group members is very important for an effective
leadership given that this figure is the person who actually manages the team members to …

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

We address the problem of automatically predicting group performance on a task, using
multimodal features derived from the group conversation. These include acoustic features …

Socially shared regulation plays a pivotal role in the success of collaborative learning.
However, evaluating socially shared regulation of learning (SSRL) proves challenging due …

This paper addresses the gaze target detection problem in single images captured from the
third-person perspective. We present a multimodal deep architecture to infer where a person …