The field of intelligent virtual agents (IVAs) has evolved immensely over the past 15 years,
introducing new application opportunities in areas such as training, health care, and virtual …

While there has been a growing body of work in child-robot interaction, we still have very
little knowledge regarding young children's speaking and listening dynamics and how a …

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 …

With societies growing more and more conscious of human social biases that are implicit in
most of our interactions, the development of automated robot social behavior is failing to …

We propose in this paper a statistical model in the perspective of predicting listener's
feedbacks in a conversation. The first contribution of the paper is a study of the prediction of …

Socio-conversational systems are dialogue systems, including what are sometimes referred
to as chatbots, vocal assistants, social robots, and embodied conversational agents, that are …

Imagine you start a conversation with the newest socially interactive agent (SIA), a
humanoid robot or life-size embodied virtual agent. It talks to you and you talk back, but the …

Conversational agents (CAs) have the great potential in mitigating the clinicians' burden in
screening for neurocognitive disorders among older adults. It is important, therefore, to …

Backchannel (BC), a short reaction signal of a listener to a speaker's utterances, helps to
improve the quality of the conversation. Several studies have been conducted to predict BC …

We manually designed rules for a backchannel (BC) prediction model based on pitch and
pause information. In short, the model predicts a BC when there is a pause of a certain …