most citedUnderstanding Collaboration between Professional Designers and Decision-making AI: A Case Study in the Workplace

2 citations · 3 across the 11 of their papers we have counts for

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cs.RO2026

Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot

Yuki Okafuji, Koji Inoue, Yoshiki Ohira

Large language model (LLM)-based dialogue systems suffer response delays because generation begins only after final speech recognition. While fixed fillers are a workaround, they b…

cs.RO2026

Breaking the 15% Barrier: A Real-World Data-Driven System for Proactive Social Robot Triggered by User Nonverbal Cues

Yuga Yano, Yuki Okafuji, Ryo Miyoshi +2

Service robots in retail stores increasingly rely on cascaded speech pipelines (STT-LLM-TTS), yet many customer-robot interactions are initiated or guided by nonverbal behaviors su…

cs.RO2026

What you reward is what you learn: Comparing rewards for online speech policy optimization in public HRI

Sichao Song, Yuki Okafuji, Kaito Ariu +1

Designing policies that are both efficient and acceptable for conversational service robots in open and diverse environments is non-trivial. Unlike fixed, hand-tuned parameters, on…

cs.RO2026

From Metrics to Meaning: Insights from a Mixed-Methods Field Experiment on Retail Robot Deployment

Sichao Song, Yuki Okafuji, Takuya Iwamoto +2

We report a mixed-methods field experiment of a conversational service robot deployed under everyday staffing discretion in a live bedding store. Over 12 days we alternated three c…

cs.RO2025

User Experience Estimation in Human-Robot Interaction Via Multi-Instance Learning of Multimodal Social Signals

Ryo Miyoshi, Yuki Okafuji, Takuya Iwamoto +2

In recent years, the demand for social robots has grown, requiring them to adapt their behaviors based on users' states. Accurately assessing user experience (UX) in human-robot in…

cs.RO2025

Whom to Respond To? A Transformer-Based Model for Multi-Party Social Robot Interaction

He Zhu, Ryo Miyoshi, Yuki Okafuji

Prior human-robot interaction (HRI) research has primarily focused on single-user interactions, where robots do not need to consider the timing or recipient of their responses. How…

cs.RO2025★ 1 cited

A Noise-Robust Turn-Taking System for Real-World Dialogue Robots: A Field Experiment

Koji Inoue, Yuki Okafuji, Jun Baba +3

Turn-taking is a crucial aspect of human-robot interaction, directly influencing conversational fluidity and user engagement. While previous research has explored turn-taking model…