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Multimodal and Mixed Control of Robotic Endoscopes

Published: 23 April 2020 Publication History

Abstract

Bedside robotic endoscopes render surgeons autonomous from assistants, potentially improving surgical outcome and decreasing costs. Why then have they not been widely adopted? We take a step back and first characterize classic (non-robotic) endoscope use through observations, literature and a domain expert interview. We review the literature on bedside robotic endoscopes and find that existing controls, individually, do not have the power to support both intended and appropriated endoscope uses. We thus explore combining controls to support this diversity of uses. Through an iterative cycle, we design and implement a multimodal and mixed-initiative technique that combines two user controls and one system control. Our evaluations confirm that individual controls do not satisfy the diversity of endoscope uses, and also that our technique indeed does so. Our work highlights the relevance of HCI research in the medical domain through robotic systems.

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    cover image ACM Conferences
    CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
    April 2020
    10688 pages
    ISBN:9781450367080
    DOI:10.1145/3313831
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    Published: 23 April 2020

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    Author Tags

    1. minimally invasive surgery
    2. mixed-initiative interfaces
    3. robotic endoscope manipulator

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    • (2024)Multimodal human–computer interaction in interventional radiology and surgery: a systematic literature reviewInternational Journal of Computer Assisted Radiology and Surgery10.1007/s11548-024-03263-3Online publication date: 28-Oct-2024
    • (2023)Learning With Pedagogical Models: Videos As Adjuncts to Apprenticeship for Surgical TrainingProceedings of the ACM on Human-Computer Interaction10.1145/35796157:CSCW1(1-40)Online publication date: 16-Apr-2023
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