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How Service Robot Anthropomorphism and Employee Self-Efficacy Shape Collaborative Performance.

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Summary

Service robot anthropomorphism and employee self-efficacy enhance human-robot collaboration. Key perceptions like usefulness and ease of use mediate this, boosting collaborative intention and performance in the service industry.

Keywords:
anthropomorphismcollaborative performanceperceived competenceperceived ease of useperceived usefulnessself-efficacyservice robot

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Area of Science:

  • Human-Robot Interaction
  • Service Robotics
  • Organizational Psychology

Background:

  • Integrating service robots requires understanding human-robot collaboration dynamics.
  • Employee self-efficacy is crucial for adopting new technologies.
  • Anthropomorphism in service robots may influence user acceptance and performance.

Purpose of the Study:

  • To investigate how service robot anthropomorphism and employee self-efficacy impact human-robot collaborative performance.
  • To examine the mediating roles of perceived usefulness, ease of use, competence, and collaborative intention.
  • To elucidate the psychological mechanisms underlying effective human-robot collaboration in service settings.

Main Methods:

  • Developed a conceptual model of human-robot collaborative performance.
  • Utilized structural equation modeling (SEM) for data analysis.
  • Collected data from 418 employees in the hospitality and catering sectors.

Main Results:

  • Service robot anthropomorphism and employee self-efficacy positively influence perceived usefulness, ease of use, and competence.
  • These perceptions enhance collaborative intention, which in turn improves collaborative performance.
  • Perceived usefulness, ease of use, and competence jointly mediate the relationship between anthropomorphism/self-efficacy and collaborative performance.

Conclusions:

  • A sequential mediation pathway exists: anthropomorphism and self-efficacy enhance perceptions, fostering intention and performance.
  • Findings offer theoretical insights into the psychological drivers of effective human-robot collaboration.
  • Provides practical guidance for integrating service robots in service operations.