From the 2 of 24 linked papers with an AI index.
1 citations · 1 across the 8 of their papers we have counts for
5 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…
Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction
Ryuichi Sumida, Mao Saeki, Masaki Eguchi +4
The paper reports a longitudinal study of a memory‑augmented conversational AI, showing how perceived memory and self‑disclosure shape user enjoyment over repeated sessions and how…
Real-time Generation of Listener Nodding via Prediction of Kinematic Parameters for Avatar Dialogue Systems
Kazushi Kato, Koji Inoue, Taiga Mori +2
The paper introduces a lightweight, real-time model that predicts both the timing and motion parameters of listener nodding for conversational avatars, using a dyadic attention net…
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…