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CHS: Small: Understanding Human Performance Consequences of Using Headworn Displays for Large Assemblies

CHS: Small: Understanding Human Performance Consequences of Using Headworn Displays for Large Assemblies
CHS:小型:了解在大型组件中使用头戴式显示器对人类表现的影响
批准号:
1718051
负责人:
Joseph Gabbard
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-15 至 2021-07-31

项目摘要

项目成果

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中文摘要
翻译
建筑领域对头戴式显示器(hwd)越来越感兴趣,它可能为建筑工人提供增强现实(AR)信息,如蓝图或覆盖的注释和说明。然而,这些hwd可能没有提高安全性和效率的预期效果:它们可能会在身体或精神上干扰手头的工作,降低工人的态势感知能力。该项目旨在更好地了解AR hwd在框架和护套等常见建筑任务中的设计和效果。该团队将与行业合作伙伴合作,了解工人面临的需求和风险,以开发特定任务的AR界面,以及衡量安全性、效率、意识和满意度的方法。然后,他们将在pi所在机构的大型动作捕捉实验室中进行一系列控制实验,评估和改进接口和测量方法。目标是为AR hwd在建筑及其他领域提供一套普遍有用的任务、接口、测量和指导方针。该团队还将与建筑女性组织合作,为初中和高中学生开发AR体验,利用该技术进行外展和教育。团队将首先与利益相关者小组合作,通过访谈和审查利益相关者的质量控制文件,制定有意义的效率度量标准。根据初步的工作,以及团队对动作捕捉设备的访问,这些可能不仅仅是花费的时间和所犯的错误,还包括工具和材料的选择、定位和使用以及损坏等因素。他们还将根据现有的指导方针和规模制定具体的态势感知、工作量和可用性措施,进行试点用户研究,以改进这些措施,并确保它们可以在模拟环境中进行管理。接口和实验测试平台将使用动作捕捉实验室设施和商用AR HWD设备进行开发:开发不同保真度和不同规模的保形和非保形AR接口;通过包含真实和模拟的物体和噪音,模拟真实施工现场的危害和干扰;并开发方法来跟踪行为和对象的使用。这些将在一系列对照实验中进行评估,使用平衡的拉丁方格设计,改变信息的呈现(包括使用纸质蓝图的对照版本)和相对于任务区域的保形元素的规模。团队将计算在早期阶段开发的指标,并进行访谈,以获得参与者的主观满意度、参与度、对可用性的看法以及改进的想法。在项目的教育和外联部分,他们还将开发一个较小规模的AR HWD练习,以支持学校常用的意大利面桥建设任务。
英文摘要
The field of construction is increasingly interested in head worn displays (HWDs) that might provide construction workers with augmented reality (AR) information such as blueprints or overlaid annotations and instructions. However, these HWDs might not have the desired effects of improved safety and efficiency: they could instead interfere physically or mentally with the job at hand, reducing workers' situational awareness. This project is about better understanding the design and effects of AR HWDs for common construction tasks such as framing and sheathing. The team will work with industry partners to understand the needs and risks workers face in order to develop task-specific AR interfaces as well as ways to measure safety, efficiency, awareness, and satisfaction. They will then evaluate and refine both the interfaces and measures in a series of controlled experiments that evaluate the interfaces in a large motion-capture lab at the PIs' home institution. The goal is to provide a generally useful suite of tasks, interfaces, measures, and guidelines for AR HWDs in construction and beyond. The team will also partner with the Building Women in Construction organization to develop AR experiences for middle and high school students that use the technology for outreach and education. The team will start by working with a stakeholder group to develop meaningful metrics of efficiency using interviews and review of stakeholder quality control documents. Based on preliminary work, and the team's access to motion capture equipment, these are likely to go beyond time taken and errors made and include factors such as tool and material choice, positioning and use, and damage. They will also develop specific measures of situational awareness, workload, and usability based on existing guidelines and scales, conducting pilot user studies to refine them and ensure that they can be administered in the simulated environment. The interfaces and experimental testbed will be developed using the motion capture lab facilities and commodity AR HWD devices: developing both conformal and non-conformal AR interfaces at different levels of fidelity and at different scales; simulating the hazards and distractions of a real construction site through including real and simulated objects and noises; and developing methods to track both behavior and object use. These will be evaluated in a series of controlled experiments using a balanced Latin Squares design, varying the presentation of information (including a control version using paper blueprints) and the scale of the conformal elements relative to the task area. The team will compute metrics developed in earlier stages and conduct interviews to get at participants' subjective satisfaction, engagement, perceptions of usability, and ideas for improvements. For the education and outreach portions of the project, they will also develop a smaller-scale AR HWD exercise to support a spaghetti bridge construction task commonly used in schools.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1061/9780784482865.070
发表时间: 2020-11
期刊:
影响因子: --
作者: [Yimin Qin;Tanyel Bulbul]
通讯作者: Yimin Qin;Tanyel Bulbul
DOI: 10.1016/j.aei.2021.101423
发表时间: 2021-10
期刊: Adv. Eng. Informatics
影响因子: --
作者: [Yimin Qin;Eric T. Bloomquist;Tanyel Bulbul;Joe Gabbard;Kyle Tanous]
通讯作者: Yimin Qin;Eric T. Bloomquist;Tanyel Bulbul;Joe Gabbard;Kyle Tanous
Framing the Scene: An Examination of Augmented Reality Head Worn Displays in Construction Assembly Tasks
构建场景:检查建筑装配任务中的增强现实头戴式显示器
DOI: 10.1109/vrw50115.2020.00246
发表时间: 2020
期刊: 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW
影响因子: --
作者: [Bloomquist, Eric T., Gabbard, Joseph L., Tanous, Kyle, Qin, Yimin, Bulbul, Tanyel]
通讯作者: Bulbul, Tanyel
Convergence Accelerator Phase I (RAISE): Learning Environments with Advanced Robotics for Next-Generation Emergency Responders (LEARNER)
CHS: SMALL: Methods to Assess Automotive Augmented Reality Head-up Display Effects on Driver Performance
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