2 citations · 3 across the 11 of their papers we have counts for
12 papers
Learning from Success and Failure: Acquiring Adaptive Dialogue Strategies for Social Robots
Sanae Yamashita, Yuki Okafuji
Traditional dialogue systems for social robots require both dialogue strategies and user attribute recognition, each demanding specialized expertise. However, data collection is co…
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
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…
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…
Understanding Collaboration between Professional Designers and Decision-making AI: A Case Study in the Workplace
Nami Ogawa, Yuki Okafuji, Yuji Hatada +1
The rapid development of artificial intelligence (AI) has fundamentally transformed creative work practices in the design industry. Existing studies have identified both opportunit…
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…
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…
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…
What Drives You to Interact?: The Role of User Motivation for a Robot in the Wild
Amy Koike, Yuki Okafuji, Kenya Hoshimure +1
In this paper, we aim to understand how user motivation shapes human-robot interaction (HRI) in the wild. To explore this, we conducted a field study by deploying a fully autonomou…