Vsevolod Peysakhovich
Affiliations: | ISAE-SUPAERO |
Area:
neuroergonomics, human factors, attention, cognitionGoogle:
"Vsevolod Peysakhovich"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Frédéric Dehais | grad student | 2013-2016 | |
| François Vachon | grad student | 2013-2016 |
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Publications
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| Lounis C, Peysakhovich V, Causse M. (2021) Visual scanning strategies in the cockpit are modulated by pilots' expertise: A flight simulator study. Plos One. 16: e0247061 |
| Parent M, Peysakhovich V, Mandrick K, et al. (2019) The diagnosticity of psychophysiological signatures: Can we disentangle mental workload from acute stress with ECG and fNIRS? International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology |
| Hassoumi A, Peysakhovich V, Hurter C. (2019) Improving eye-tracking calibration accuracy using symbolic regression. Plos One. 14: e0213675 |
| Hassoumi A, Peysakhovich V, Hurter C. (2018) Uncertainty visualization of gaze estimation to support operator-controlled calibration. Journal of Eye Movement Research. 10 |
| Peysakhovich V, Hurter C. (2018) Scanpath visualization and comparison using visual aggregation techniques. Journal of Eye Movement Research. 10 |
| Scannella S, Peysakhovich V, Ehrig F, et al. (2018) Assessment of Ocular and Physiological Metrics to Discriminate Flight Phases in Real Light Aircraft. Human Factors. 18720818787135 |
| Peysakhovich V, Dehais F, Duchowski AT. (2018) ArUco/Gaze Tracking in Real Environments Educational Technology & Society. 14: 70-71 |
| Peysakhovich V, Lefrançois O, Dehais F, et al. (2018) The Neuroergonomics of Aircraft Cockpits: The Four Stages of Eye-Tracking Integration to Enhance Flight Safety Safety. 4: 8 |
| Prost A, Peysakhovich V, Igraleev I, et al. (2018) Assessment of Astronauts’ Workload with Task-Irrelevant Auditory Probes In Manually Controlled Spacecraft Rendezvous and Docking Frontiers in Human Neuroscience. 12 |
| Causse M, Chua Z, Peysakhovich V, et al. (2017) Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS. Scientific Reports. 7: 5222 |