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Assessment of Situation Awareness during Robotic Surgery using Multimodal Data

Abstract : The use of robotic surgical systems disrupts existing team dynamics inside operating rooms and constitutes a major challenge for the development of crucial non-technical skills such as situation awareness (SA). Techniques for assessing SA mostly rely on subjective assessments and questionnaires; few leverage multimodal measures combining physiological, behavioural, and subjective indicators. We propose a conceptual model relating SA with mental workload, stress and communication, supported by measurable behaviours and physiological signals. To validate this model, we collect subjective, behavioural, and physiological data from surgical teams performing radical prostatectomy using robotic surgical systems. Statistical analyses will be performed to establish relationships between SA, subjective assessment of stress and mental workload, communication processes, and the surgeons' physiological signals.
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https://hal.archives-ouvertes.fr/hal-03108552
Contributor : Mathieu Chollet Connect in order to contact the contributor
Submitted on : Tuesday, January 26, 2021 - 1:40:40 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM
Long-term archiving on: : Tuesday, April 27, 2021 - 6:09:53 PM

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Aurelien Lechappe, Mathieu Chollet, Jérôme Rigaud, Caroline Gl Cao. Assessment of Situation Awareness during Robotic Surgery using Multimodal Data. ICMI 2020 Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild, Oct 2020, Utrecht, Netherlands. pp.412-416, ⟨10.1145/3395035.3425205⟩. ⟨hal-03108552⟩

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