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Yuki Okafuji

5 accepted papers

2025

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

IROS 2025

Turn-taking is a crucial aspect of human-robot interaction, directly influencing conversational fluidity and user engagement. While previous research has explored turn-taking models in controlled environments, their robustness in real-world settings remains underexplored. In this study, we propose a

Cited by 3SourceScholar
2025

From Attraction to Engagement: A Robot-Clerk Collaboration Strategy for Retail Success

RA-L 2025

Service robots have demonstrated significant potential in retail environments, with research efforts increasingly focused on designing effective robot-customer interactions. However, the collaboration between service robots and human clerks is crucial for optimizing customer engagement in real-world

Cited by 3SourceScholar
2025

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

IROS 2025

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 interaction (HRI) is crucial for achieving this adaptability. UX is a multi-faceted measure encompassing aspects such as s

Cited by 0SourceScholar
2024

Wingman-Leader Recommendation: An Empirical Study on Product Recommendation Strategy Using Two Robots

RA-L 2024

In recent years, the potential applications of social robots in retail environments have been explored. Previous studies have mainly focused on the performance of a single robot and have rarely considered the use of multiple robots to recommend products. Although a previous study did investigate the

Cited by 4SourceScholar
2021

Persuasion Strategies for Social Robot to Keep Humans Accepting Daily Different Recommendations

IROS 2021poster

Social robots are used in daily life. One of the applications of social robots is as recommendation systems. Previous research has mainly investigated how persuasive recommendations can be improved by focusing on the non-verbal/verbal behavior of robots. However, to use robots as recommendation syst…

Cited by 10SourceScholar