Faculty of Engineering & Informatics, Athlone Institute of Technology, Athlone, Westmeath, Ireland.
Faculty of Science & Health, Athlone Institute of Technology, Athlone, Westmeath, Ireland.
PLoS One. 2020 Mar 23;15(3):e0230570. doi: 10.1371/journal.pone.0230570. eCollection 2020.
Gait analysis is a technique that is used to understand movement patterns and, in some cases, to inform the development of rehabilitation protocols. Traditional rehabilitation approaches have relied on expert guided feedback in clinical settings. Such efforts require the presence of an expert to inform the re-training (to evaluate any improvement) and the patient to travel to the clinic. Nowadays, potential opportunities exist to employ the use of digitized "feedback" modalities to help a user to "understand" improved gait technique. This is important as clear and concise feedback can enhance the quality of rehabilitation and recovery. A critical requirement emerges to consider the quality of feedback from the user perspective i.e. how they process, understand and react to the feedback. In this context, this paper reports the results of a Quality of Experience (QoE) evaluation of two feedback modalities: Augmented Reality (AR) and Haptic, employed as part of an overall gait analysis system. The aim of the feedback is to reduce varus/valgus misalignments, which can cause serious orthopedics problems. The QoE analysis considers objective (improvement in knee alignment) and subjective (questionnaire responses) user metrics in 26 participants, as part of a within subject design. Participants answered 12 questions on QoE aspects such as utility, usability, interaction and immersion of the feedback modalities via post-test reporting. In addition, objective metrics of participant performance (angles and alignment) were also considered as indicators of the utility of each feedback modality. The findings show statistically significant higher QoE ratings for AR feedback. Also, the number of knee misalignments was reduced after users experienced AR feedback (35% improvement with AR feedback relative to baseline when compared to haptic). Gender analysis showed significant differences in performance for number of misalignments and time to correct valgus misalignment (for males when they experienced AR feedback). The female group self-reported higher utility and QoE ratings for AR when compared to male group.
步态分析是一种用于了解运动模式的技术,在某些情况下,还可以为康复方案的制定提供信息。传统的康复方法依赖于临床环境中专家指导的反馈。这种方法需要专家在场来指导重新训练(评估任何改善),并需要患者前往诊所。如今,有潜力利用数字化的“反馈”模式来帮助用户“理解”改善的步态技术。这很重要,因为清晰简洁的反馈可以提高康复和恢复的质量。从用户角度考虑反馈的质量成为一个关键要求,即他们如何处理、理解和对反馈做出反应。在这种情况下,本文报告了两种反馈模式的体验质量(QoE)评估结果:增强现实(AR)和触觉,作为整体步态分析系统的一部分。反馈的目的是减少内翻/外翻的错位,这可能导致严重的骨科问题。QoE 分析考虑了 26 名参与者的客观(膝关节对齐度的改善)和主观(问卷回复)用户指标,作为一项在体设计的一部分。参与者通过后测试报告回答了关于反馈模式的使用性、可用性、交互性和沉浸感等 12 个 QoE 方面的问题。此外,还考虑了参与者表现(角度和对齐)的客观指标,作为每种反馈模式效用的指标。研究结果表明,AR 反馈的 QoE 评分显著更高。此外,与使用触觉反馈相比,在用户体验 AR 反馈后,膝关节错位的数量减少了(与基线相比,AR 反馈时减少了 35%)。性别分析显示,在经历 AR 反馈时,错位数量和纠正外翻错位的时间存在显著差异(对于男性)。与男性相比,女性组自我报告对 AR 的使用性和 QoE 评分更高。