3 accepted papers
This paper introduces the human-like embodied AI interviewer which integrates android robots equipped with advanced conversational capabilities, including attentive listening, conversational repairs, and user fluency adaptation. Moreover, it can analyze and present results post-interview. We conduct…
In human conversations, short backchannel utterances such as “yeah” and “oh” play a crucial role in facilitating smooth and engaging dialogue.These backchannels signal attentiveness and understanding without interrupting the speaker, making their accurate prediction essential for creating more natur…
This paper addresses audio-visual signal processing for conversation analysis, which involves multi-modal behavior detection and mental-state recognition. We have investigated prediction of turn-taking by the audience in a poster session from their multi-modal behaviors, and found out that the eye-g…