Smooth leader or sharp follower? Playing the mirror game with a robot

Area of Science:

• Human-robot interaction
• Robotics
• Cognitive Science

Background:

• Personalized human-robot interactions are crucial across diverse applications like industry, home use, and rehabilitation.
• Understanding user and task-specific personalization is key for effective human-robot collaboration.

Purpose of the Study:

• To investigate human preferences during a collaborative joint movement task with a robotic arm.
• To explore user adaptation and role preferences in a leader-follower imitation game (the mirror game).

Main Methods:

• Twenty-two participants engaged in the mirror game with a robotic arm, alternating roles as leader and follower.
• The robotic arm executed movements that were either smooth or sharp when leading, which participants rated.

Main Results:

• Participants showed a clear preference for smooth movements executed by the robotic arm.
• Half of the participants preferred to lead, while the other half preferred to follow.
• The robotic arm's movements were found to prime subsequent human movements.

Conclusions:

• Robot-induced priming of human movement necessitates careful consideration in interaction design.
• Individual differences in role preference and movement path highlight the importance of personalized human-robot interactions.
• Findings underscore the need for adaptable robotic systems that cater to individual user needs and task contexts.