Publication: States of Confusion: Eye and Head Tracking Reveal Surgeons' Confusion during Arthroscopic Surgery
Issued Date
2021-10-18
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2-s2.0-85119016402
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Mahidol University
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SCOPUS
Bibliographic Citation
ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction. (2021), 753-757
Suggested Citation
Benedikt Hosp, Myat Su Yin, Peter Haddawy, Ratthaphum Watcharopas, Paphon Sa-Ngasoongsong, Enkelejda Kasneci States of Confusion: Eye and Head Tracking Reveal Surgeons' Confusion during Arthroscopic Surgery. ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction. (2021), 753-757. doi:10.1145/3462244.3479953 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/76632
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Title
States of Confusion: Eye and Head Tracking Reveal Surgeons' Confusion during Arthroscopic Surgery
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Abstract
During arthroscopic surgeries, surgeons are faced with challenges like cognitive re-projection of the 2D screen output into the 3D operating site or navigation through highly similar tissue. Training of these cognitive processes takes much time and effort for young surgeons, but is necessary and crucial for their education. In this study we want to show how to recognize states of confusion of young surgeons during an arthroscopic surgery, by looking at their eye and head movements and feeding them to a machine learning model. With an accuracy of over 94% and detection speed of 0.039 seconds, our model is a step towards online diagnostic and training systems for the perceptual-cognitive processes of surgeons during arthroscopic surgeries.