Intelligent agents interacting with humans through conversation (such as a robot, embodied
conversational agent, or chatbot) need to receive feedback from the human to make sure …

This article gives an overview of our symbiotic human-robot interaction project, which aims
at an autonomous android who behaves and interacts just like a human. A conversational …

The advent of large language models (LLMs) has made it possible to generate natural
written dialogues between two agents. However, generating human-like spoken dialogues …

We describe an attentive listening system for the autonomous android robot ERICA. The
proposed system generates several types of listener responses: backchannels, repeats …

Active listening is a well-known skill applied in human communication to build intimacy and
elicit self-disclosure to support a wide variety of cooperative tasks. When applied to …

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 …

We address prediction of turn-taking considering related behaviors such as backchannels
and fillers. Backchannels are used by the listeners to acknowledge that the current speaker …

Objectives Ambient clinical documentation technology uses automatic speech recognition
(ASR) and natural language processing (NLP) to turn patient–clinician conversations into …

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 …

In spoken conversations, speakers and their addressees constantly seek and provide
different forms of audiovisual feedback, also known as backchannels, which include …