User Experience Survey of Innovative Softwares in Evaluation of Industrial-Related Ergonomic Hazards: A Focus on 3D Motion Capture Assessment

Bufford Advincula
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引用次数: 1

Abstract

This paper aims to present user experience survey results of innovative software assessment technologies available in the market aimed in evaluating risks of industrial-related ergonomic hazards. The scope covers industrial ergonomics softwares currently available for purchase where time-limited free trial is offered, particularly those that utilize 3D Motion Capture Assessment which relies on kinematic inputs aided by non-invasive computer technology and artificial intelligence, and makes use of pre-determined weightings based on biomechanical risk factors. In light of the inclusion criterion, six industrial ergonomics softwares were considered. User field trials were conducted during January to September 2020 among 10 Occupational Health Subject Matter Experts (OH SME) coming from seven oil and gas Group Companies. Each OH SME attended a product demonstration by the shortlisted software vendor, participated in software trial at their respective workplaces, and provided feedback on the software's usability by filling out a survey questionnaire. OH SME responses were then collected for further qualitative analyses. Three of the eligible softwares relied on photo snapshot capturing work activity where subsequent analysis is done through competent professional judgment of qualitative risk. Another three were dependent on 3D Motion Capture Assessment where upper and lower limb motions of employees are digitally captured, recorded, and analyzed. Two of the softwares utilized sensors attached to different parts of employee's body, while one relied on Android/Smartphone snapshot of work activity and analyzed by the software's algorithm. Analyses of OH SME feedback revealed majority of them (n = 7) preferred using 3D Motion Capture Assessment over professional judgment of qualitative risk as an effective tool in evaluation of industrial work-related ergonomic risks. 3D Motion Capture Assessment provided accurate measurements of employee joint postures and postural angles. The tool ensured consistency in risk scoring for a particular industrial-related work activity as the calculation is standardized. The tool's algorithm is aligned with globally accepted assessment tools in evaluating ergonomic risks which enhances its validity. OH SMEs have expressed concerns on use of Android/Smartphone in Critical Infrastructure and Coastal Protection Authority facilities, training time needed in learning the software, and repetitive use of motion sensors among different employees which may lead to personal hygiene issues. 3D Motion Capture Assessment is a novel ergonomics software tool that can be used in real-time and accurate evaluation of ergonomic risks arising from industrial work-related activities. It can replace observational assessment of a work activity that may be prone to professional judgment errors. However, more validation and reliability studies need to be done in future as well as determining association between ergonomics risk scores obtained from the software and prevalence of work-related musculoskeletal disorders.
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工业相关人体工程学危害评估创新软件的用户体验调查:以3D动作捕捉评估为重点
本文旨在介绍市场上现有的创新软件评估技术的用户体验调查结果,旨在评估工业相关的人体工程学危害风险。范围涵盖目前可购买的工业人体工程学软件,提供有时间限制的免费试用,特别是那些利用3D运动捕捉评估的软件,该软件依赖于非侵入性计算机技术和人工智能辅助的运动学输入,并利用基于生物力学风险因素的预先确定的权重。根据纳入标准,考虑了6种工业人机工程学软件。2020年1月至9月期间,来自7家石油和天然气集团公司的10名职业健康主题专家(OH SME)进行了用户现场试验。每个OH中小企业都参加了入围软件供应商的产品演示,在各自的工作场所参与了软件试用,并通过填写调查问卷对软件的可用性提供了反馈。然后收集OH SME的回复进行进一步的定性分析。三个合格的软件依赖于照片快照捕获工作活动,其中后续分析是通过合格的定性风险专业判断完成的。另外三个依赖于3D动作捕捉评估,其中员工的上肢和下肢动作被数字捕获,记录和分析。其中两款软件使用了附着在员工身体不同部位的传感器,而另一款软件依赖于安卓/智能手机的工作活动快照,并通过软件的算法进行分析。对OH SME反馈的分析显示,他们中的大多数(n = 7)更倾向于使用3D动作捕捉评估而不是定性风险的专业判断作为评估工业工作相关的人体工程学风险的有效工具。3D动作捕捉评估提供了员工关节姿势和姿势角度的精确测量。随着计算标准化,该工具确保了特定工业相关工作活动风险评分的一致性。该工具的算法与全球公认的评估人体工程学风险的评估工具一致,提高了其有效性。中小企业对在关键基础设施和海岸保护局设施中使用Android/智能手机、学习软件所需的培训时间,以及不同员工重复使用运动传感器可能导致个人卫生问题表示关注。3D运动捕捉评估是一种新型的人体工程学软件工具,可用于实时准确地评估工业工作相关活动产生的人体工程学风险。它可以取代可能容易产生专业判断错误的工作活动的观察性评估。然而,未来需要进行更多的验证和可靠性研究,以及确定从软件获得的人体工程学风险评分与工作相关肌肉骨骼疾病患病率之间的关系。
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