@inproceedings{cad518f97eee431997a7eb6c858c46cd,
title = "CogniDaVinci: Towards Estimating Mental Workload Modulated by Visual Delays During Telerobotic Surgery - An EEG-based Analysis",
abstract = "Communication latency in any delicate telerobotic operation (such as remote surgery over distance) would impose a significant challenge due to the temporal degradation of visual perception and can substantially affect the outcomes. Less is known, however, about the neurophysiological basis of how operators adapt/react to delayed visual feedback. Identification of such neural markers might provide novel ways for future applications to monitor the mental workload (MW). In this study, we recorded electroencephalography (EEG) data from nine users while performing a peg transfer task using the da Vinci Research Kit with three levels of induced visual delay in the video feedback. Our results suggest that spectral EEG-based features can provide markers of the operator's MW modulated by arbitrary visual delay. We also show that the exposure to different visual delays could be successfully classified/detected solely from EEG data, using a Riemannian geometry-based classifier, which highlights the utility of EEG signals for detecting the effect of visual delay on brain activity.",
author = "Satyam Kumar and Liu, {Deland H.} and Racz, {Frigyes S.} and Manuel Retana and Susheela Sharma and Fumiaki Iwane and Murphy, {Braden P.} and Rory O'Keeffe and Atashzar, {S. Farokh} and Farshid Alambeigi and {Del R. Millan}, Jose",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Robotics and Automation, ICRA 2023 ; Conference date: 29-05-2023 Through 02-06-2023",
year = "2023",
doi = "10.1109/ICRA48891.2023.10161007",
language = "English (US)",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6789--6794",
booktitle = "Proceedings - ICRA 2023",
}