Proulx C E, Higgins J, Vincent C, Vaughan T, Hewko M, Gagnon D H
School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.
Center for Interdisciplinary Research in Rehabilitation of Greater Montreal, Institut Universitaire sur la Réadaptation en Déficience Physique de Montréal, CIUSSS Centre-Sud-de-l'Île-de-Montréal, Montreal, QC, Canada.
J Rehabil Assist Technol Eng. 2023 Apr 12;10:20556683231166574. doi: 10.1177/20556683231166574. eCollection 2023 Jan-Dec.
Task-specific neurorehabilitation is crucial to optimize hand recovery shortly after a stroke, but intensive neurorehabilitation remains limited in resource-constrained healthcare systems. This has led to a growing interest in the use of robotic gloves as an adjunct intervention to intensify hand-specific neurorehabilitation. This study aims to develop and assess the usability of an operating interface supporting such a technology coupled with a virtual environment through a user-centered design approach.
Fourteen participants with hand hemiparesis following a stroke were invited to don the robotic glove before browsing through the operating interface and its functionalities, and perform two mobility exercises in a virtual environment. Feedback was collected for improving technology usability. Participants completed the System Usability Scale and ABILHAND questionnaires and their recommendations were gathered and prioritized in a Pugh Matrix.
The System Usability Scale (SUS) score for the operating interface was excellent (M = 87.0 SD = 11.6). A total of 74 recommendations to improve the user interface, calibration process, and exercise usability were identified.
The application of a full cycle of user-centred design approach confirms the high level of usability of the system which is perceived by end users as acceptable and useful for intensifying neurorehabilitation.
特定任务的神经康复对于中风后不久优化手部恢复至关重要，但在资源有限的医疗保健系统中，强化神经康复仍然受限。这使得人们越来越关注使用机器人手套作为强化手部特定神经康复的辅助干预措施。本研究旨在通过以用户为中心的设计方法，开发并评估支持这种技术与虚拟环境相结合的操作界面的可用性。
邀请14名中风后手偏瘫的参与者戴上机器人手套，然后浏览操作界面及其功能，并在虚拟环境中进行两项移动性练习。收集反馈以改善技术可用性。参与者完成系统可用性量表和ABILHAND问卷，并收集他们的建议并在普格矩阵中进行优先级排序。
操作界面的系统可用性量表（SUS）得分优异（M = 87.0，SD = 11.6）。共确定了74条改进用户界面、校准过程和练习可用性的建议。
完整的以用户为中心的设计方法的应用证实了该系统具有高度的可用性，终端用户认为该系统对于强化神经康复是可接受且有用的。
