Eye-Tracking for Performance Evaluation and Workload Estimation in Space Telerobotic Training

Monitoring the mental workload of operators is paramount importance in space telerobotic training and other teleoperation tasks. Instead estimation task-specific workload, this article aims at investigating impact two significant confounding factors (time-pressure latency) on explored use eye-tracking technology for factor-induced performance evaluation. Ten subjects teleoperated a Canadarm2 robot to complete complex on-orbit assembly task our photo-realistic simulator while wearing head-mounted eye-tracker. To understand how time-pressure latency influence features works, we first performed statistical analysis various with respect single factor across multiple groups. Next, extracted from segment data trial used identify induced by factors, which can be developing personalized programs guaranteeing safe teleoperation. Furthermore, improve recognition using data, propose activity ratio time characterize informative segments. Finally, relationship between simulator-defined measures examined. Results show that fixation duration, saccade frequency pupil diameter, index pupillary are both