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Toward Scalable and Transparent Multimodal Analytics to Study Standard Medical Procedures: Linking Hand Movement, Proximity, and Gaze Data

Published: 21 May 2024 Publication History

Abstract

This study employed multimodal learning analytics (MMLA) to analyze behavioral dynamics during the ABCDE procedure in nursing education, focusing on gaze entropy, hand movement velocities, and proximity measures. Utilizing accelerometers and eye-tracking techniques, behaviorgrams were generated to depict various procedural phases. Results identified four primary phases characterized by distinct patterns of visual attention, hand movements, and proximity to the patient or instruments. The findings suggest that MMLA can offer valuable insights into procedural competence in medical education. This research underscores the potential of MMLA to provide detailed, objective evaluations of clinical procedures and their inherent complexities.

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        cover image ACM Conferences
        SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
        April 2024
        1898 pages
        ISBN:9798400702433
        DOI:10.1145/3605098
        This work is licensed under a Creative Commons Attribution International 4.0 License.

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        Published: 21 May 2024

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        Author Tags

        1. multimodal
        2. eye-tracking
        3. hand movement
        4. proxemics
        5. behavior-gram
        6. medical education

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