Generating Robot Gaze on the Basis of Participation Roles and Dominance Estimation in Multiparty Interaction
| Autor: | Yutaka Takase, Takashi Yoshino, Misato Yatsushiro, Yukiko I. Nakano |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Estimation
Focus (computing) business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Gaze Human-Computer Interaction Nonverbal communication Dominance (ethology) Empirical research Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Humanoid robot Cognitive psychology |
| Zdroj: | ACM Transactions on Interactive Intelligent Systems. 5:1-23 |
| ISSN: | 2160-6463 2160-6455 |
| DOI: | 10.1145/2743028 |
| Popis: | Gaze is an important nonverbal feedback signal in multiparty face-to-face conversations. It is well known that gaze behaviors differ depending on participation role: speaker, addressee, or side participant. In this study, we focus on dominance as another factor that affects gaze. First, we conducted an empirical study and analyzed its results that showed how gaze behaviors are affected by both dominance and participation roles. Then, using speech and gaze information that was statistically significant for distinguishing the more dominant and less dominant person in an empirical study, we established a regression-based model for estimating conversational dominance. On the basis of the model, we implemented a dominance estimation mechanism that processes online speech and head direction data. Then we applied our findings to human-robot interaction. To design robot gaze behaviors, we analyzed gaze transitions with respect to participation roles and dominance and implemented gaze-transition models as robot gaze behavior generation rules. Finally, we evaluated a humanoid robot that has dominance estimation functionality and determines its gaze based on the gaze models, and we found that dominant participants had a better impression of less dominant robot gaze behaviors. This suggests that a robot using our gaze models was preferred to a robot that was simply looking at the speaker. We have demonstrated the importance of considering dominance in human-robot multiparty interaction. |
| Databáze: | OpenAIRE |
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