In face-to-face interactions, parties rapidly react and adapt to each other's words,
movements and expressions. Any science of face-to-face interaction must develop …

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 …

Taking turns in a conversation is a delicate interplay of various signals, which we as humans
can easily decipher. Embodied conversational agents (ECAs) communicating with humans …

Backchannels, ie short interjections of the listener, serve important meta-conversational
purposes like signifying attention or indicating agreement. Despite their key role, automatic …

Predicting the timing of utterances in dyadic conversations is essential for achieving natural
interactions between humans and virtual agents. Since the former often use non-verbal cues …

This study investigates the characteristics of backchannels showing the entrainment to the
interlocutor's speech. The prosodic features of the dialogues of attentive listening are …

In this study, we propose a multimodal model for predicting the end-of-utterance probability
in spoken dialogue systems, highlighting the unique role of visual cues in addition to …

Recently, engagement has emerged as a key variable explaining the success of
conversation. In the perspective of human-machine interaction, an automatic assessment of …

In human conversations, short backchannel utterances such as" yeah" and" oh" play a
crucial role in facilitating smooth and engaging dialogue. These backchannels signal …