Designing Gestures of Robots in Specific Fields for Different Perceived Personality Traits

Area of Science:

• Human-Robot Interaction
• Robotics
• Social Psychology

Background:

• Social robots are increasingly viewed as social actors in various professional settings.
• Research is exploring the social attributes and interaction dynamics of robots.

Purpose of the Study:

• To investigate the influence of robot gestures on perceived personality traits across four occupational fields.
• To compare gesture design guidelines for robots in shopping reception, home companion, education, and security roles.

Main Methods:

• Development of an interactive script and observational derivation of relevant gestures.
• Robot experimentation using human-robot interaction videos to assess gesture impact.
• Categorization of perceived robot personality traits into sociality, competence, and status.

Main Results:

• Metaphoric gestures were less common than deictic, iconic, or beat gestures.
• All gesture types improved perceived sociality; deictic and iconic gestures enhanced competence and status.
• Shopping reception robots benefit from beat gestures for friendliness, while other fields require focus on deictic and iconic gestures.

Conclusions:

• Robot gesture design is crucial for shaping user perception and acceptance.
• Tailoring gesture strategies to specific occupational contexts optimizes human-robot interaction.
• Future designs should prioritize gesture integration based on functional requirements for enhanced user experience.