From the 1 of 11 linked papers with an AI index.
11 papers
Multimodal Rapport Estimation in Real-World HRI
Akihiro Sakuramoto, Takato Hayashi, Ryo Miyoshi +2
Evaluating interaction quality in real-world HRI is an important challenge. If interaction quality can be estimated reliably, the results can be used to improve dialogue strategies…
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…
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
The paper presents a system that lets a service robot in a retail store respond proactively to customers' nonverbal actions—like approaching, waving, or showing items—by recognizin…
Practical Insights into Designing Context-Aware Robot Voice Parameters in the Wild
Amy Koike, Yuki Okafuji, Sichao Song
Voice is an essential modality for human-robot interaction (HRI). The way a robot sounds plays a central role in shaping how humans perceive and engage with it, influencing factors…
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…
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…