FW-HTF-RM: Addressing and Amplifying the Skills of the Future Hispanic and Latino Construction Workforce Using BIM and Augmented Reality

FW-HTF-RM：使用 BIM 和增强现实解决和增强未来西班牙裔和拉丁裔建筑劳动力的技能

• 批准号: 2326134
• 负责人: Joseph Kider
• 金额: $ 98.51万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2326134&HistoricalAwards=false
• 关键词: FW; HTF; RM; Addressing; Amplifying

Our nation currently faces a critical shortage of skilled trades workers as more are retiring than joining these critically important construction occupation fields. Additionally, a widening foreign language gap forces new construction workers, who are not native English speakers, to face a job market lacking the requisite skills gap creating staffing, and safety, and skill issues. This project addresses this gap created by the changing composition of the labor force by advancing the theory and knowledge required to train currently marginalized Hispanic and Latino workers utilizing augmented reality (AR) and building information modeling (BIM) technology. This new foundational knowledge will support the creation of an environment where all individuals can fully participate. Our interdisciplinary team is innovating by investigating how AR, with real-time voice translation can enable equity, and BIM technology can facilitate the learning of transferable retrofitting skills to expand individuals’ aspirational goals, by opening additional career paths to the ‘Missing Millions’ in the construction workforce. Increasing access to better positions for these workers by amplifying workers with what they bring to retrofitting jobs. Our goal is to empower non-native English-speaking workers by utilizing AR to access BIM data in their native language (Spanish), thereby assisting them to learn in-demand retrofitting skills. This project will utilize a novel interdisciplinary approach to advance the fundamental understanding of the learning science supporting in-demand retrofitting skills and designs at the edge of the AR+BIM human-technology frontier. We will conduct a language needs analysis to understand the subtleties and complexities of several Spanish dialects to identify strengths and weaknesses in future AR+BIM real-time translation interfaces. We will develop validated processes to leverage these translation capabilities for non-native English-speaking workers, while developing novel mini-labs to promote greater transferable retrofitting skills by testing impacts of workers’ first and second language comprehension on complex construction task completion. This research project will study how native language and physical actions embody and extend cognitive processes in complex construction environments and gaining understanding of the linguistic and cultural competencies of a diverse future workforce. Our approach is directly applicable towards providing insights into the alternative problem domains of manufacturing, nursing, and public safety, all of which are facing the challenges of skilled labor shortages and equitable access.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

我们的国家目前面临熟练的贸易工人的严重短缺，因为退休比加入这些至关重要的建筑领域。此外，扩大外语差距迫使不是英语的新建工人，他们面临缺乏必要的技能差距创造人员，安全和技能问题的就业市场。该项目通过推进当前边缘化的西班牙裔和拉丁裔工人使用增强现实（AR）和建筑信息建模（BIM）技术来培训边缘化的西班牙裔和拉丁裔工人所需的理论和知识所需的理论和知识来解决这一差距。这种新的基础知识将支持所有个人都可以完全参与的环境的创造。我们的跨学科团队通过调查AR如何通过实时语音翻译来实现公平，而BIM技术可以通过为建筑劳动力中的“丢失数百万”的“失踪数百万人”开放其他职业道路，从而促进AR的创新性。通过扩大工人为改造工作的工作，增加了这些工人获得更好职位的机会。我们的目标是利用AR以其母语（西班牙语）访问BIM数据，从而赋予非母语英语工人的能力，从而帮助他们学习按需改造技能。该项目将利用一种新颖的跨学科方法来促进对学习科学的基本理解，以支持AR+BIM人类技术领域边缘的需求改造技能和设计。我们将进行语言需求分析，以了解几种西班牙方言的微妙和复杂性，以确定未来AR+BIM实时翻译界面中的优势和劣势。我们将开发经过验证的流程，以利用这些翻译功能为非本地英语的工人，同时开发新颖的迷你lab，以通过测试工人对复杂施工任务完成的第一语言和第二语言理解的影响来促进更大的可转移技巧。该研究项目将研究母语和身体行动如何在复杂的建筑环境中体现和扩展认知过程，并了解潜水员未来劳动力的语言和文化能力。我们的方法直接适用于提供对制造，护士和公共安全的替代问题领域的见解，所有这些都面临着熟练的劳动力短缺和公平访问的挑战。该奖项反映了NSF的法定任务，并被视为通过使用基金会的知识分子和更广泛影响的评估来审查Criteria来通过评估来获得支持。