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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.