Multimodal Rapport Estimation in Real-World HRI
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 and ultimately enable robots to adapt their behavior autonomously. However, existing automatic evaluation methods have been developed primarily in controlled laboratory settings, and it remains unclear whether they can be directly applied to real-world environments, where users are free to disengage and multi-party participation may arise naturally. In this study, we investigate the automatic estimation of third-party-rated rapport scores using 62 sessions of multimodal recordings collected in a Japanese drugst...
| Authors | Akihiro Sakuramoto, Takato Hayashi, Ryo Miyoshi et al. |
|---|---|
| Primary category | cs.HC |
| Published | 19 August 2026 |
| Last updated at source | 19 August 2026 |
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