Collaborative robots (cobots) are designed to work alongside humans, offering flexibility and cost-effective solutions with quick and easy programming. Despite their potential, many cobot applications lack true collaboration and are confined to industrial environments. This study investigates human error recovery strategies with cobots in a non-industrial context, using a real-world task from an administrative department. Ten participants interacted with a cobot simulating errors, and their responses were observed. The study employed a Wizard of Oz setup to simulate interaction modalities, including voice control and visual and auditory feedback, and collected data through questionnaires assessing usefulness, user experience, and quality satisfaction. The results indicated high user satisfaction and appreciation for the cobot. Findings reveal that intuitive user-centered interaction is crucial for improving user experience and the adoption of collaborative robots in various professional fields.

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Understanding Human Responses to Robot Errors to Enhance Human-Robot Interaction Design in a Non-industrial Context

  • Simona D’Attanasio,
  • Anna Studzinska

摘要

Collaborative robots (cobots) are designed to work alongside humans, offering flexibility and cost-effective solutions with quick and easy programming. Despite their potential, many cobot applications lack true collaboration and are confined to industrial environments. This study investigates human error recovery strategies with cobots in a non-industrial context, using a real-world task from an administrative department. Ten participants interacted with a cobot simulating errors, and their responses were observed. The study employed a Wizard of Oz setup to simulate interaction modalities, including voice control and visual and auditory feedback, and collected data through questionnaires assessing usefulness, user experience, and quality satisfaction. The results indicated high user satisfaction and appreciation for the cobot. Findings reveal that intuitive user-centered interaction is crucial for improving user experience and the adoption of collaborative robots in various professional fields.