Towards an EEG Based Mental Workload Evaluation Method for Construction Workers’ HMD AR Use
Towards an EEG Based Mental Workload Evaluation Method for Construction Workers’ HMD AR Use
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DOI：
10.1061/9780784482865.070
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
Yimin Qin;Tanyel Bulbul
中科院分区：
文献类型：
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作者：
Yimin Qin;Tanyel Bulbul
增强现实（AR）具有增强用户如何与数字模型和真实的环境交互的强大能力，具有优化传统施工过程的巨大潜力。通过AR，不仅可以提高设计和规划阶段的决策，还可以提高现场工作的准确性和效率。此外，头戴式设备（HMD）的发展和应用为工作人员提供了一种新的免提方法来与现场的数字模型进行交互。然而，HMD AR在建筑中使用的人为因素方面，例如人机交互（HCI）优化，硬件笨拙和安全监控仍然没有得到很好的研究。因此，评估用户的精神和身体工作量可以是了解工人对这种新的施工模式的反应的有效方法。由于这是一个新的尝试，在HMD AR使用与施工活动的心理负荷监测，本文中，我们回顾了以往的研究在心理负荷评估，并介绍了一种可能的方法来研究这个问题。对脑电、NASA-TLX等不同类型的脑力负荷评价方法进行了讨论，并对它们的优缺点进行了比较。
Augmented reality (AR), with its strong ability to enhance how a user interacts with the digital model and the real environment, has great potential to optimize the conventional construction process. Not only the design and planning phase decisions, but also the on-site job accuracy and efficiency can be improved through AR. Furthermore, the development and application of head mounted devices (HMD) provide the workers a new hands-free method to interact with digital model on the site. However, human factor aspects of HMD AR use in construction, such as human computer interaction (HCI) optimization, hardware clumsiness, and safety monitoring are still not well studied. Hence, evaluating the user’s mental and physical workload can be an effective way to understand how a worker might react to this new construction mode. Since it is a new attempt to monitor the mental workload during the HMD AR use with construction activities, in this paper, we reviewed the previous studies in mental workload evaluation, and introduced a possible approach to study this problem. Different types of mental workload evaluating methods such as electroencephalogram (EEG), and NASA-TLX were discussed based on their pros and cons in this field.