理解建筑工作中的注意力缺陷多动障碍（ADHD）生产力：迈向人工智能支持的虚拟现实干预
Understanding ADHD Productivity in Construction Work: Toward AI-enabled VR Interventions
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中文总结 AI 辅助
研究旨在了解ADHD特征对建筑领域生产力的影响及相关干预措施，通过对多方进行半结构化访谈，确定了工作场所挑战与生产力支持策略两大主题，得出AI和VR干预措施设计要求，为提升ADHD生产力支持发展提供参考。
中文摘要 AI 辅助
注意力缺陷多动障碍（ADHD）被认为是建筑行业中最普遍的神经差异状况。尽管建筑行业可能会拓宽就业机会，但对于ADHD特征如何影响工人在动态施工现场环境中的表现、持续注意力和情境意识知之甚少。这项工作开展了一项探索性访谈研究，旨在了解ADHD特征如何影响特定于建筑领域的生产力，以及未来的干预措施如何在增强优势的同时减少挑战。研究人员对患有ADHD的建筑工人、安全经理和ADHD研究人员进行了半结构化访谈，以获取他们对注意力需求、任务协调和工作场所适应的看法。在这些讨论中，参与者还思考了将人工智能（AI）和虚拟现实（VR）相结合以支持未来ADHD工人的潜力。分析确定了两个总体主题：一是工作场所挑战，涵盖建筑工作性质和ADHD工人特定需求所产生的困难；二是生产力支持策略，描述了保持专注和任务参与的有效方法。此外，研究得出了对人工智能和虚拟现实干预措施的设计要求，这些干预措施应提供适应性注意力支架、中介社交临场感和激励支持。最后讨论了这些见解如何为未来ADHD生产力提升支持的发展提供参考。
英文摘要
Attention-Deficit/Hyperactivity Disorder (ADHD) is identified as the most prevalent neurodivergent condition in the construction industry. While the construction industry may broaden employment opportunities, little is known about how ADHD traits shape workers' performance, sustained attention, and situational awareness in dynamic job-site environments. This work presents an exploratory interview study aimed at understanding how ADHD traits influence construction-specific productivity and how future interventions can reduce challenges while amplifying strengths. We conducted semi-structured interviews with construction workers with ADHD, safety managers, and ADHD researchers to capture their perspectives on attentional demands, task coordination, and workplace adaptation. As part of these discussions, participants also reflected on the potential of combining artificial intelligence (AI) and virtual reality (VR) to support future ADHD workers. Our analysis identifies two overarching themes: (1) workplace challenges, capturing difficulties that arise from both the nature of construction work and the specific needs of ADHD workers, and (2) productivity support strategies, describing effective methods to sustain focus and task engagement. Further, we derive design requirements for AI and VR-enabled interventions that provide adaptive attentional scaffolding, mediated social presence, and motivational support. We conclude by discussing how these insights can inform the future development of ADHD productivity enhancement support.
