activity
20172026
most citedDetection of social signals for recognizing engagement in human-robot interaction

10 citations · 21 across the 22 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.MM2026

Multimodal Temporal Modeling for Continuous Group Emotion Recognition in Multi-party Dialogues

Soma Iwata, Koji Inoue, Muyun Wu +3

To realize natural behavior in dialogue agents in multi-party dialogue scenarios, it is important to understand group emotion such as valence and arousal as a whole. Most prior wor…

cs.CL2026

TEIDAN: A Multilingual Multiparty Dialogue Corpus

Taiga Mori, Koji Inoue, Mikey Elmers +2

Multi-party interaction is a central setting for human communication and a necessary target for human-agent interaction systems that must participate in group conversation. Yet ava…

cs.RO2026

Human-robot conversation with multiple participants in noisy public spaces

Divesh Lala, Yogeeswaran Muthukumaran, Vincent Fernandes +10

For noisy real-world environments such as those in open public spaces, spoken dialogue systems for both autonomous robots and avatars should be carefully designed to provide enhanc…

cs.HC2026

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…

cs.CL2026

On the Structure of Address in Multi-Party Dialogue: From Discrete Labels to Continuous Levels

Taiga Mori, Koji Inoue, Divesh Lala +1

In multi-party dialogues between a dialogue system and multiple users, identifying to whom an utterance is addressed is a key challenge. Prior work has typically treated addressee…