Eye-Tracking in Physical Human-Robot Interaction: Mental Workload and Performance Prediction.

Journal: Human factors
PMID: 37793896

Abstract

BACKGROUND: In Physical Human-Robot Interaction (pHRI), the need to learn the robot's motor-control dynamics is associated with increased cognitive load. Eye-tracking metrics can help understand the dynamics of fluctuating mental workload over the course of learning.

Authors

  • Satyajit Upasani
    Virginia Tech, Blacksburg, VA, USA.
  • Divya Srinivasan
    Department of Industrial Engineering, Clemson University, Clemson, South Carolina, USA.
  • Qi Zhu
    Medical Research Center, Southwestern Hospital, Army Medical University, Chongqing 400037, P.R. China.
  • Jing Du
    Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute Shanghai 200233, China.
  • Alexander Leonessa
    Virginia Tech, Blacksburg, VA, USA.

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