Evaluating Proficiency on a Laparoscopic Suturing Task through Pupil Size

Yang Cao, Yo Kobayashi, Bo Zhang, Quanquan Liu, Shigeki Sugano, Masakatsu G. Fujie

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

    3 Citations (Scopus)

    Abstract

    Eye-Tracking technology has been applied to surgical skill improvement and can observe differences in gaze data between the experienced and novice surgeon. Some eye trackers can even detect pupil diameter. We hypothesized that differences in technical proficiency among surgeons affect the extent of changes in pupil diameter, because the higher mental workload a laparoscopic task requires, the larger the person's pupil diameter dilates. In this study, we recorded the pupil diameters of pediatric surgeons while they performed a suturing task in a dry box environment. The more proficient surgeons exhibited a smaller distribution in pupil diameter than did the less proficient surgeons. Our data indicate that an individual's suturing proficiency is closely related to the degree of dispersion of pupil diameter.

    Original languageEnglish
    Title of host publicationProceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages677-681
    Number of pages5
    ISBN (Print)9781479986965
    DOIs
    Publication statusPublished - 2016 Jan 12
    EventIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong
    Duration: 2015 Oct 92015 Oct 12

    Other

    OtherIEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
    CountryHong Kong
    CityKowloon Tong
    Period15/10/915/10/12

    Keywords

    • Dry box
    • Eye tracking
    • Laparoscopic suturing
    • Pupil diameter

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Networks and Communications
    • Energy Engineering and Power Technology
    • Information Systems and Management
    • Control and Systems Engineering

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