Evaluating human perceptions of android robot facial expressions based on variations in instruction styles.

ABSTRACT: Robots that interact with humans are required to express emotions in ways that are appropriate to the context. While most prior research has focused primarily on basic emotions, real-life interactions demand more nuanced expressions. In this study, we extended the expressive capabilities of the android robot Nikola by implementing 63 facial expressions, covering not only complex emotions and physical conditions, but also differences in intensity. At Expo 2025 in Japan, more than 600 participants interacted with Nikola by describing situations in which they wanted the robot to perform facial expressions. The robot inferred emotions using a large language model and performed corresponding facial expressions. Questionnaire responses revealed that participants rated the robot's behavior as mor

SUBMITTER: Fujii A 

PROVIDER: S-EPMC12747908 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature