Retraining Built Environment Retrofitting Problem Solving Skills with Augmented Reality

这项提议的目的是研究如何整合新兴的增强现实(AR)和建筑信息建模(BIM)技术，通过改善建筑工人的再培训来提高人的绩效，以便翻新和改变建筑物的用途。一个被广泛认识的问题是，由于自动化和人工智能，取代建筑和维护工作的人数越来越多。此外，美国还拆除了10亿平方英尺的存量建筑，并用新建筑取代了它们。拆除这些建筑物产生的废物对环境的影响很大，成本也很高，因为这些材料往往没有回收利用，而是被填埋。翻新建筑项目越来越受欢迎，因为它们延长了结构的寿命，保护了历史元素，并最大限度地减少了浪费。这项建议通过研究如何帮助工人更容易地转移贸易技能，并有效地提高翻新和改变建筑结构用途的解决问题的技能，满足了这些关键需求。研究人员将研究AR和BIM如何提高技能发展、生产力和效率，以帮助促进建筑、工程和建筑(AEC)人类技术前沿工作的未来。研究人员提出了一种新的跨学科方法来探索AR设备如何叠加BIM视觉信息，以更好、更安全地了解改装和维护问题。这笔赠款将通过解决以下研究问题而做出重大研究贡献：(1)AR技术对重新培训失业工人的建筑建造和翻新技能是否有用和有效？(2)AR显示辅助工具中建筑信息建模数据和用户界面的可视呈现类型如何，并帮助再培训技能和解决问题的翻新？(3)AR界面是否帮助工人更准确和更有效地解决翻新任务(例如，在时间和材料浪费方面)，而不是没有AR界面？这项研究将开发一个迷你实验室的试验台，通过现场培训增加劳动力，提高再培训工人的长期解决问题能力。调查员将发展研究成果，并向学术界和建筑业的技术工人传播。这将为AR和BIM的广泛使用和采用铺平道路，以解决建筑翻新和维护挑战，并提高劳动力能力。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The objective of this proposal is to study how emerging Augmented Reality (AR) and Building Information Modeling (BIM) technologies can be integrated to increase human performance by improving the retraining of construction workers for retrofitting and repurposing buildings. A widely recognized problem is the growing population of displaced construction and maintenance works due to automation and artificial intelligence. Additionally, the U.S. demolishes and replaces one billion square feet of building stock with new structures. The impact of the waste produced by the demolition of these buildings on the environment is significant and costly as such materials are often not recycled and are landfilled. Retrofitting construction projects are gaining in popularity because they increase a structure's lifespan, preserve historic elements, and minimize waste. This proposal addresses these critical needs by studying how to help workers more easily transfer trade skills and effectively increase problem-solving skills for retrofitting and repurposing building structures. The investigators will study how AR and BIM increase skill development, productivity, and efficiency to help promote the future of work at the human technology frontier in Architecture, Engineering, and Construction (AEC). The researchers propose a novel interdisciplinary approach to explore how AR devices superimpose BIM visual information to gain a better and safer understanding of retrofitting and maintenance issues. This grant will make significant research contributions by addressing the following research questions: (1) Will AR technology be useful and impactful for retraining displaced workers in building construction and retrofitting skills? (2) How does the type of visual presentation of building information modeling data and user-interface in the AR display aid and assist retraining skills and problem-solving retrofitting? (3) Does an AR interface help workers problem solve retrofitting tasks more accurately and more efficiently (e.g., in time and waste of materials) than without an AR interface? The study will develop a testbed of mini-labs for improving long-term problem-solving abilities of retrained workers by creating an augmented workforce through in situ training. The investigators will develop and disseminate their research outcomes both to the academic community as well as skilled workers in the building trades. This will pave the way for broad use and adoption of AR and BIM to solve building retrofitting and maintenance challenges and improve workforce capabilities.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.