10 citations · 24 across the 34 of their papers we have counts for
6 papers · 1 filter
Does Listening Matter? Backchanneling and Nodding in AI Clone
Koji Inoue, Kazushi Kato, Tatsuya Kawahara +1
AI clones that imitate a specific person typically reproduce what the person says and how they sound, but not how they listen. We investigate whether adding multimodal listening be…
Real-time Generation of Listener Nodding via Prediction of Kinematic Parameters for Avatar Dialogue Systems
Kazushi Kato, Koji Inoue, Taiga Mori +2
In human dialogue, we achieve smooth communication by expressing nonverbal cues such as eye contact, nodding, and facial expressions with precise timing. It is expected for convers…
Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction
Ryuichi Sumida, Mao Saeki, Masaki Eguchi +4
As conversational AI systems are designed for repeated use, a central question is how a series of interactions becomes a relationship. We present a longitudinal multimodal study of…
Real-time Generation of Various Types of Nodding for Avatar Attentive Listening System
Kazushi Kato, Koji Inoue, Divesh Lala +2
In human dialogue, nonverbal information such as nodding and facial expressions is as crucial as verbal information, and spoken dialogue systems are also expected to express such n…
I Know Your Feelings Before You Do: Predicting Future Affective Reactions in Human-Computer Dialogue
Yuanchao Li, Koji Inoue, Leimin Tian +5
Current Spoken Dialogue Systems (SDSs) often serve as passive listeners that respond only after receiving user speech. To achieve human-like dialogue, we propose a novel future pre…
Detection of social signals for recognizing engagement in human-robot interaction
Divesh Lala, Koji Inoue, Pierrick Milhorat +1
Detection of engagement during a conversation is an important function of human-robot interaction. The level of user engagement can influence the dialogue strategy of the robot. Ou…