增强现实头戴式显示器视觉检测:澳大利亚可用性案例研究

IF 2.2 3区 工程技术 Q3 ENGINEERING, MANUFACTURING Human Factors and Ergonomics in Manufacturing & Service Industries Pub Date : 2023-03-15 DOI:10.1002/hfm.20986
Sara Howard, Ryan Jang, Valerie O'Keeffe, Kosta Manning, Robert Trott, Ann-Louise Hordacre, John Spoehr
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引用次数: 1

摘要

增强现实(AR)是一项工业4.0技术。十多年来,AR技术及其应用的进步有望彻底改变制造业,提高质量和生产力。然而,由于设备成本、技能短缺和AR设备的技术限制等因素,原型以外的作战部署受到了限制。在现实世界中,可用性研究可以探索实现的障碍并改进系统设计。本文详细介绍了AR头戴式显示器(HMD)执行简短、简单视觉检查任务的混合方法可用性案例研究。来自南澳大利亚制造企业的22名参与者在高空作业时检查了一个泵和管道橇。总体而言,该任务的工作量需求被认为是可以接受的,并且略低于“低”工作量阈值(NASA任务负荷指数,平均值 = 29.3),系统可用性被评为“一般”(系统可用性量表,平均值 = 68.5)。研究结果表明,这项任务没有给用户带来太大的负担,并且是AR HMD的适当初始暴露,但在实施之前,需要对界面进行进一步改进,以最大限度地减少挫折感并促进学习。用户对AR HMD充满热情和开放态度,尽管研究结果表明,即使AR HMD技术取得了最新进展,任务、技术和环境之间的相互作用仍会给人类和技术带来挑战——其中一些挑战相对简单,但另一些则依赖于更大规模的努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Visual inspection with augmented reality head-mounted display: An Australian usability case study

Augmented reality (AR) is an Industry 4.0 technology. For more than a decade, advancements in AR technology and their applications have been expected to revolutionise the manufacturing industry and deliver quality and productivity gains. However, due to factors such as equipment costs, skills shortages and technological limitations of AR devices, operational deployment beyond prototypes has been constrained. Real-world, usability studies can explore barriers to implementation and improve system design. This paper details a mixed method usability case study of an AR head-mounted display (HMD) to perform a short, simple visual inspection task. Twenty-two participants from South Australian manufacturing businesses inspected a pump and pipe skid while working at height. Overall, workload demands for the task were considered acceptable and just below the “low” workload threshold (NASA Task Load Index, mean = 29.3) and the system usability was rated “average” (system usability scale, mean = 68.5). The results suggest the task did not place too high a burden on users and was an appropriate initial exposure to AR HMDs, but further refinement to the interface would be desirable before implementation to minimise frustration and promote learning. Users were enthusiastic and open-minded about the AR HMD although results indicate that even with recent advancements in AR HMD technology, interactions between the task, technology and environment continue to cause human and technical challenges—some of which are relatively straightforward to address but others are dependent on larger-scale efforts.

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来源期刊
CiteScore
5.20
自引率
8.30%
发文量
37
审稿时长
6.0 months
期刊介绍: The purpose of Human Factors and Ergonomics in Manufacturing & Service Industries is to facilitate discovery, integration, and application of scientific knowledge about human aspects of manufacturing, and to provide a forum for worldwide dissemination of such knowledge for its application and benefit to manufacturing industries. The journal covers a broad spectrum of ergonomics and human factors issues with a focus on the design, operation and management of contemporary manufacturing systems, both in the shop floor and office environments, in the quest for manufacturing agility, i.e. enhancement and integration of human skills with hardware performance for improved market competitiveness, management of change, product and process quality, and human-system reliability. The inter- and cross-disciplinary nature of the journal allows for a wide scope of issues relevant to manufacturing system design and engineering, human resource management, social, organizational, safety, and health issues. Examples of specific subject areas of interest include: implementation of advanced manufacturing technology, human aspects of computer-aided design and engineering, work design, compensation and appraisal, selection training and education, labor-management relations, agile manufacturing and virtual companies, human factors in total quality management, prevention of work-related musculoskeletal disorders, ergonomics of workplace, equipment and tool design, ergonomics programs, guides and standards for industry, automation safety and robot systems, human skills development and knowledge enhancing technologies, reliability, and safety and worker health issues.
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