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 …

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 …

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

There has been a lot of work on predicting the timing of feedback in conversational systems.
However, there has been less focus on predicting the prosody and lexical form of feedback …

In this work we propose a listening agent which can be used in a conversation between two
humans. We firstly conduct a corpus analysis to identify three different categories of …

We present ADVISER-an open-source, multi-domain dialog system toolkit that enables the
development of multi-modal (incorporating speech, text and vision), socially-engaged (eg …

Produced in the form of small injections such as “Yeah!” or “Uh-Huh” by listeners in a
conversation, supportive verbal feedback (ie, backchanneling) is essential for natural …

In human conversations, listeners often utilize brief backchannels such as “uh‐huh” or
“yeah.” Timely backchannels are crucial to understanding and increasing trust among …

Short feedback responses, such as backchannels, play an important role in spoken
dialogue. So far, most of the modeling of feedback responses has focused on their timing …