research-article

Towards Surgical Robots: Understanding Interaction Challenges in Knee Surgery

Authors:

Anjali Jaiprakash,

Bernd Ploderer,

Margot Brereton,

Jonathan RobertsAuthors Info & Claims

OzCHI '19: Proceedings of the 31st Australian Conference on Human-Computer-Interaction

Pages 255 - 265

https://doi.org/10.1145/3369457.3370916

Published: 10 January 2020 Publication History

Abstract

Knee arthroscopy is a very common elective surgery, which is performed globally. Research has stated that there are currently several issues surrounding this surgery which reveal surgeons are frustrated with their instruments, cause unintended damage, and have high levels of cognitive and physical demands. The aim of this research is to explore in greater detail what is actually occurring during surgery and gain insights from the knee surgeons to illuminate the current frailties entangled with knee arthroscopy. This research consists of a field study observing four consultant orthopaedic knee surgeons performing knee arthroscopies, of which a total of 15 surgeries were video-recorded. Cards were created based on the analysis of the videos, which were then used to prompt further reflection in interviews with two of the four knee surgeons. From this study we endeavour to explore how knee surgeons currently employ instruments during knee surgery and the challenges that they experience. Our findings focus on a surgeon's perspective on the following challenges: (1) instrument limitations, (2) limited visibility, and (3) physical and cognitive pressures. Based on these limitations, we explore how current robotic surgical platforms could be introduced as a first step towards designing surgical robots for knee arthroscopy, that will result in more desirable patient outcomes as well as greater satisfaction for the knee surgeons.

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Cited By

Razjigaev APandey AHoward DRoberts JJaiprakash ACrawford RWu L(2024)Optimal Vision-Based Orientation Steering Control for a 3-D Printed Dexterous Snake-Like Manipulator to Assist TeleoperationIEEE/ASME Transactions on Mechatronics10.1109/TMECH.2023.330066229:2(1260-1271)Online publication date: Apr-2024
https://doi.org/10.1109/TMECH.2023.3300662

Index Terms

Towards Surgical Robots: Understanding Interaction Challenges in Knee Surgery
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Other conferences

OzCHI '19: Proceedings of the 31st Australian Conference on Human-Computer-Interaction

December 2019

631 pages

ISBN:9781450376969

DOI:10.1145/3369457

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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HFESA: Human Factors and Ergonomics Society of Australia Inc.

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Published: 10 January 2020

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OZCHI'19

OZCHI'19: 31ST AUSTRALIAN CONFERENCE ON HUMAN-COMPUTER-INTERACTION

December 2 - 5, 2019

WA, Fremantle, Australia

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Cited By

Razjigaev APandey AHoward DRoberts JJaiprakash ACrawford RWu L(2024)Optimal Vision-Based Orientation Steering Control for a 3-D Printed Dexterous Snake-Like Manipulator to Assist TeleoperationIEEE/ASME Transactions on Mechatronics10.1109/TMECH.2023.330066229:2(1260-1271)Online publication date: Apr-2024
https://doi.org/10.1109/TMECH.2023.3300662

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