Usability evaluation of a spinal surgery robot: a workload, usability, and satisfaction study (Preprint)

Author:

Choi HyeonkyeongORCID,Kim Seunghee,Jang Wonseuk

Abstract

BACKGROUND

Robotic spine surgery has continued to evolve since its FDA approval in 2004, with products now including real-time video guidance and navigation during surgery. As the market for robotic surgical devices evolves, it's important to consider usability factors.

OBJECTIVE

The primary objectives of this study were to determine the safety and efficacy of a surgical assistive robotic device and to evaluate the workload and system usability scores of the evaluated device. The secondary objective was to compare the workload and usability of the device among different occupational groups using the device.

METHODS

Neurosurgeons (n=15) and nurses (n=15), the intended users of the surgical assistant robot, participated in the usability evaluation. Participants performed essential scenarios for the surgical assistant robot and provided scenario-specific satisfaction (ASQ), workload (NASA TLX), and usability (SUS) scores.

RESULTS

Both doctors and nurses had task success rates of 85% or higher for each scenario. ASQ results showed that both doctors and nurses were least satisfied with Ease of completing the task of Registration (Group1 : 4.73±1.57, Group 2 : 4.47±1.8), Amount of time it took (Group1 : 4.47±1.63, Group 2 : 4.40±2.09), and Support information satisfaction (Group1 : 5.13±1.50, Group 2 : 5.13±1.89). All participants had low workloads and the overall TLX score had a p-value of 0.767, which is greater than 0.05. The SUS results showed that the overall usability mean for doctors was 64.17 (SD: 16.52) and the mean for nurses was 61.67 (SD: 19.18), with a p-value of 0.838, which is greater than 0.05, indicating no difference between the two groups.

CONCLUSIONS

In this study, doctors and nurses evaluated the interaction of the device in a simulated environment, the operating room. By evaluating the experience and usability of the device with real intended users, we can develop a more effective and convenient UI.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3