Differentiating Surgeons' Expertise solely by Eye Movement Features

Benedikt Hosp, Myat Su Yin, Peter Haddawy, Ratthapoom Watcharopas, Paphon Sa-Ngasoongsong, Enkelejda Kasneci

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

9 Zitate (Scopus)

Abstract

Medical schools are increasingly seeking to use objective measures to assess surgical skills. This extends even to perceptual skills, which are particularly important in minimally invasive surgery. Eye tracking provides a promising approach to obtaining such objective metrics of visual perception. In this work, we report on results of a cadaveric study of visual perception during shoulder arthroscopy. We present a model for classifying surgeons into three levels of expertise using only eye movements. The model achieves a classification accuracy of 84.44% using only a small set of selected features. We also examine and characterize the changes in visual perception metrics between the different levels of expertise, forming a basis for development of a system for objective assessment.

OriginalspracheEnglisch
TitelICMI 2021 Companion - Companion Publication of the 2021 International Conference on Multimodal Interaction
Herausgeber (Verlag)Association for Computing Machinery, Inc
Seiten371-375
Seitenumfang5
ISBN (elektronisch)9781450384711
DOIs
PublikationsstatusVeröffentlicht - 18 Okt. 2021
Extern publiziertJa
Veranstaltung23rd ACM International Conference on Multimodal Interaction, ICMI 2021 - Virtual, Online, Kanada
Dauer: 18 Okt. 202122 Okt. 2021

Publikationsreihe

NameICMI 2021 Companion - Companion Publication of the 2021 International Conference on Multimodal Interaction

Konferenz

Konferenz23rd ACM International Conference on Multimodal Interaction, ICMI 2021
Land/GebietKanada
OrtVirtual, Online
Zeitraum18/10/2122/10/21

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