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

collaborators
Showing cs.HCShow all

5 papers · 1 filter

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2025★ 2 cited

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…

cs.HC2025

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…