Enhancing the effectiveness of human-robot teaming with a closed-loop system.

Journal: Applied ergonomics
PMID: 29122205

Abstract

With technological developments in robotics and their increasing deployment, human-robot teams are set to be a mainstay in the future. To develop robots that possess teaming capabilities, such as being able to communicate implicitly, the present study implemented a closed-loop system. This system enabled the robot to provide adaptive aid without the need for explicit commands from the human teammate, through the use of multiple physiological workload measures. Such measures of workload vary in sensitivity and there is large inter-individual variability in physiological responses to imposed taskload. Workload models enacted via closed-loop system should accommodate such individual variability. The present research investigated the effects of the adaptive robot aid vs. imposed aid on performance and workload. Results showed that adaptive robot aid driven by an individualized workload model for physiological response resulted in greater improvements in performance compared to aid that was simply imposed by the system.

Authors

  • Grace Teo
    Institute for Simulation and Training, University of Central Florida, Orlando, USA. Electronic address: gracet@knights.ucf.edu.
  • Lauren Reinerman-Jones
    a Institute for Simulation and Training , University of Central Florida , Orlando , FL , USA.
  • Gerald Matthews
    University of Central Florida, Orlando gmatthews@ist.ucf.edu.
  • James Szalma
    Department of Psychology, University of Central Florida, Orlando, USA.
  • Florian Jentsch
    Department of Psychology, University of Central Florida, Orlando, USA.
  • Peter Hancock
    Department of Psychology, University of Central Florida, Orlando, USA.

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