对比头戴与手持助盲设备，发现两者在使用体验上各有优劣。
Does Embodiment Matter to Biomechanics and Function? A Comparative Analysis of Head-Mounted and Hand-Held Assistive Devices for Individuals with Blindness and Low Vision
- 通过动作捕捉分析两种设备对上肢运动的影响
- 头戴设备减少任务时间，手持设备提升小字识别成功率
- 为无障碍设计提供生物力学优化依据，适合开发者参考
视觉辅助技术（如 Microsoft Seeing AI）可提升盲人或低视力者（pBLV）获取环境信息的能力。然而，不同设备形态的物理与功能影响尚不明确。本研究中，11名pBLV参与者分别使用手持智能手机和头戴式ARx Vision系统完成六项日常活动，同时通过Xsens动作捕捉记录运动数据。功能指标包括任务时长、成功概率和尝试次数，生物力学指标涵盖关节活动范围、角路径长度、工作体积及运动平滑性。结果表明，头戴设备整体减少上肢运动并缩短任务时间，尤其在文档扫描类任务中表现更优；而手持设备在处理小字或弯曲文字时成功率更高。研究显示两种形态均具可行性，但物理负担与操作便捷性存在差异。将生物力学评估纳入辅助技术评测，有助于平衡功能效率、身体可持续性与交互自然性，优化用户体验。
原文摘要 · Abstract (English)
Visual assistive technologies, such as Microsoft Seeing AI, can improve access to environmental information for persons with blindness or low vision (pBLV). Yet, the physical and functional implications of different device embodiments remain unclear. In this study, 11 pBLV participants used Seeing AI on a hand-held smartphone and on a head-mounted ARx Vision system to perform six activities of daily living, while their movements were captured with Xsens motion capture. Functional outcomes included task time, success rate, and number of attempts, and biomechanical measures included joint range of motion, angular path length, working volume, and movement smoothness. The head-mounted system generally reduced upper-body movement and task time, especially for document-scanning style tasks, whereas the hand-held system yielded higher success rates for tasks involving small or curved text. These findings indicate that both embodiments are viable, but they differ in terms of physical demands and ease of use. Incorporating biomechanical measures into assistive technology evaluations can inform designs that optimise user experience by balancing functional efficiency, physical sustainability, and intuitive interaction.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。