Assessment of situation awareness during robotic surgery using multimodal data

Aurelien Lechappe, Mathieu Chollet, Jérôme Rigaud, Caroline G.L. Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction
PublisherAssociation for Computing Machinery
Pages412-416
Number of pages5
ISBN (Electronic)9781450380027
DOIs
StatePublished - Oct 25 2020
Externally publishedYes
Event2020 International Conference on Multimodal Interaction, ICMI 2020 - Virtual, Online, Netherlands
Duration: Oct 25 2020Oct 29 2020

Publication series

NameICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction

Conference

Conference2020 International Conference on Multimodal Interaction, ICMI 2020
Country/TerritoryNetherlands
CityVirtual, Online
Period10/25/2010/29/20

Keywords

  • Communication
  • Mental workload
  • Physiological signals
  • Stress

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

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