This paper summarizes the 2021 ChaLearn Looking at People Challenge on Understanding
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …

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 …

The listener's backchannel has the important function of encouraging a current speaker to
hold their turn and continue to speak, which enables smooth conversation. The listener …

Understanding social interactions is relevant across many domains and applications,
including psychology, behavioral sciences, human computer interaction, and healthcare. In …

We propose a method for next-speaker prediction, a task to predict who speaks in the next
turn among multiple current listeners, in multi-party video conversation. Previous studies …

Stressful conversation is a frequently occurring stressor in our daily life. Stressors not only
adversely affect our physical and mental health but also our relationships with family …

During an interaction interruptions occur frequently. Interruptions may arise to fulfill different
goals such as changing the topic of conversation abruptly, asking for clarification …

During an interaction, interactants exchange speaking turns. Exchanges can be done
smoothly or through interruptions. Listeners can display backchannels, send signals to grab …

The recent wave of audio foundation models (FMs) could provide new capabilities for
conversational modeling. However, there have been limited efforts to evaluate these audio …

This study proposes introducing facial-expression synchrony features to machine learning to
estimate a customer's psychological information from online business negotiation dialogue …