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 …

A functional head-movement corpus and convolutional neural networks (CNNs) for detecting
head-movement functions are presented for analyzing the multiple communicative functions …

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

Coordinating agents to complete a set of tasks with intercoupled temporal and resource
constraints is computationally challenging, yet human domain experts can solve these …

Listeners use short interjections, so-called backchannels, to signify attention or express
agreement. The automatic analysis of this behavior is of key importance for human …

Coordinating agents to complete a set of tasks with intercoupled temporal and resource
constraints is computationally challenging, yet human domain experts can solve these …

People find behavior change particularly long-lasting change in habits regarding physical
activity to be difficulty. While new technologies such as mobile applications that help …

Head movements play various functions in multiparty conversations. To date, convolutional
neural networks (CNNs) have been proposed to recognize the functions of individual …

In this paper, we apply reinforcement learning for automatically learning cooperative
persuasive dialogue system policies using framing, the use of emotionally charged …

This study investigates conversational feedback, that is, a listener's reaction in response to a
speaker, a phenomenon which occurs in all natural interactions. Feedback depends on the …