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

10 citations · 23 across the 33 of their papers we have counts for

collaborators
Showing 2025Show all

9 papers · 1 filter

cs.CL2025

Multilingual and Continuous Backchannel Prediction: A Cross-lingual Study

Koji Inoue, Mikey Elmers, Yahui Fu +5

We present a multilingual, continuous backchannel prediction model for Japanese, English, and Chinese, and use it to investigate cross-linguistic timing behavior. The model is Tran…

cs.CL2025

MMA-ASIA: A Multilingual and Multimodal Alignment Framework for Culturally-Grounded Evaluation

Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty +32

Large language models (LLMs) are now used worldwide, yet their multimodal understanding and reasoning often degrade outside Western, high-resource settings. We propose MMA-ASIA, a…

cs.HC2025

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…

cs.CL2025

Prompt-Guided Turn-Taking Prediction

Koji Inoue, Mikey Elmers, Yahui Fu +4

Turn-taking prediction models are essential components in spoken dialogue systems and conversational robots. Recent approaches leverage transformer-based architectures to predict s…

cs.CL2025★ 2 cited

Triadic Multi-party Voice Activity Projection for Turn-taking in Spoken Dialogue Systems

Mikey Elmers, Koji Inoue, Divesh Lala +1

Turn-taking is a fundamental component of spoken dialogue, however conventional studies mostly involve dyadic settings. This work focuses on applying voice activity projection (VAP…

cs.RO2025

Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?

Zi Haur Pang, Yahui Fu, Divesh Lala +3

We investigate the impact of robot appearance on users' spoken behavior during real-world interactions by comparing a human-like android, ERICA, with a less anthropomorphic humanoi…