Brain Functional Connectivity under Teleoperation Latency: a fNIRS Study
Yang Ye, Tianyu Zhou, Qi Zhu, William Vann, Jing Du

TL;DR
This study investigates how latency in teleoperation affects brain connectivity and performance, revealing that latency increases cognitive load and that real-time haptic feedback can mitigate neural and performance impairments.
Contribution
It provides novel neural evidence linking teleoperation latency to increased cognitive load and demonstrates the mitigating effect of real-time haptic feedback on brain connectivity.
Findings
Latency increases functional connectivity in prefrontal and motor cortices.
Real-time haptic feedback reduces neural connectivity associated with cognitive load.
Performance worsens with latency and improves with haptic feedback.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptical Imaging and Spectroscopy Techniques · EEG and Brain-Computer Interfaces
