English

Brain Functional Connectivity under Teleoperation Latency: a fNIRS Study

Human-Computer Interaction 2023-11-16 v1

Abstract

Objective: This study aims to understand the cognitive impact of latency in teleoperation and the related mitigation methods, using functional Near-Infrared Spectroscopy (fNIRS) to analyze functional connectivity. Background: Latency between command, execution, and feedback in teleoperation can impair performance and affect operators mental state. The neural underpinnings of these effects are not well understood. Method: A human subject experiment (n = 41) of a simulated remote robot manipulation task was performed. Three conditions were tested: no latency, with visual and haptic latency, with visual latency and no haptic latency. fNIRS and performance data were recorded and analyzed. Results: The presence of latency in teleoperation significantly increased functional connectivity within and between prefrontal and motor cortexes. Maintaining visual latency while providing real-time haptic feedback reduced the average functional connectivity in all cortical networks and showed a significantly different connectivity ratio within prefrontal and motor cortical networks. The performance results showed the worst performance in the all-delayed condition and best performance in no latency condition, which echoes the neural activity patterns. Conclusion: The study provides neurological evidence that latency in teleoperation increases cognitive load, anxiety, and challenges in motion planning and control. Real-time haptic feedback, however, positively influences neural pathways related to cognition, decision-making, and sensorimotor processes. Application: This research can inform the design of ergonomic teleoperation systems that mitigate the effects of latency.

Cite

@article{arxiv.2311.09062,
  title  = {Brain Functional Connectivity under Teleoperation Latency: a fNIRS Study},
  author = {Yang Ye and Tianyu Zhou and Qi Zhu and William Vann and Jing Du},
  journal= {arXiv preprint arXiv:2311.09062},
  year   = {2023}
}

Comments

Submitted to Human Factors

R2 v1 2026-06-28T13:22:13.803Z