Develop and evaluate an augmented reality posture training tool to promote work safety

Develop and evaluate an augmented reality posture training tool to promote work safety
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DOI:
10.1177/1071181320641496
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发表时间:
2020-12
期刊:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
影响因子:
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通讯作者:
Ken Chen;Gimantha N. Perera;Li Li-Li;Xu Xu-Xu;Karen B. Chen
Ken Chen;Gimantha N. Perera;Li Li-Li;Xu Xu-Xu;Karen B. Chen
中科院分区:
其他
文献类型:
--
作者:
Ken Chen;Gimantha N. Perera;Li Li-Li;Xu Xu-Xu;Karen B. Chen

文献摘要

相似文献

传统的工作姿势训练工具包括小册子、一次性训练定向和/或视频。这些工具并不总是产生令人满意的培训结果,与工作有关的肌肉骨骼疾病的发生率并没有大幅降低。在这项研究中,现代增强现实(AR)技术被用来提供交互式的、整体的、全身的视觉信息,以传达安全的工作姿势。开发过程遵循DMAIC,首先定义培训内容的规范,这导致了培训工具的开发,包括虚拟教师的3D重建和基于以用户为中心的框架的用户界面的构建。通过可用性评估对AR培训工具进行测量和分析,获得定量和定性数据,用于交叉验证和可用性问题源识别。研究结果揭示了实用的三维重建的虚拟教练和实用性,采用传统的可用性评估方法的AR用户界面可用性评估。通过问卷调查,大声思考和任务后开放式响应的可用性评估的反馈被用来迭代设计下一版本的AR姿势训练工具。
Conventional work posture training tools included pamphlets, one-time training orientation, and/or videos. These tools did not always yield satisfactory training outcomes, and the incident rate of work-related musculoskeletal disorders did not substantially lower. In this research, modern augmented reality (AR) technology was leveraged to deliver interactive, holistic, whole-body visual information to convey safe work postures. The developmental procedure followed DMAIC by first defining specifications of training content, which led to the development of the training tool, including 3D reconstruction of a virtual instructor and building of user interface based on user-centered framework. This AR training tool was measured and analyzed through usability evaluation, and quantitative and qualitative data were obtained for cross-validation and usability issue source identification. Findings revealed the utility of 3D reconstruction of a virtual instructor and practicality of adopting conventional usability evaluation method for AR user interface usability evaluation. Feedback from the usability evaluation via questionnaire, think aloud, and post-task open-ended responses are employed to iteratively design the next version of the AR posture training tool.