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When Trustworthiness Meets Face: Facial Design for Social Robots
Yao Song1,2,3, Yan Luximon3
1College of Literature and Journalism, Sichuan University, Chengdu 610065, China.
Sensors (Basel, Switzerland)
|July 13, 2024
Summary
Social robot trustworthiness is enhanced by round eyes and neutral or upturned mouths. These facial features improve user attitudes toward robots by increasing perceived trustworthiness, guiding future social robot design.
Area of Science:
- Human-Robot Interaction (HRI)
- Artificial Intelligence (AI)
- Robotics
Background:
- Social robots are key AI applications requiring effective human interaction.
- Limited research exists on how specific facial features, like eye and mouth shape, influence social robot trustworthiness.
- Designing trustworthy social robots is crucial for market success and user emotional well-being.
Purpose of the Study:
- To investigate the impact of social robot eye and mouth shape on perceived trustworthiness and user attitude.
- To identify specific facial feature designs that enhance user trust in social robots.
Main Methods:
- A 2x3 full factorial between-subject experiment was conducted with 211 participants.
- Participants were randomly assigned to six experimental conditions varying eye and mouth shapes.
- Perceived trustworthiness and robot attitude were measured post-exposure to robot stimuli.
Main Results:
- Round eyes significantly increased perceived trustworthiness compared to narrow eyes.
- Neutral or upturned mouths significantly improved trustworthiness and attitude compared to downturned mouths.
- Perceived trustworthiness mediated the effect of facial features on robot attitude.
Conclusions:
- Applying human-like trustworthy facial features, specifically round eyes and neutral/upturned mouths, can enhance social robot perception.
- Findings provide empirical contributions to HRI and practical design guidelines for creating trustworthy social robots.
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