Analysis of gaze patterns during facade inspection to understand inspector sense-making processes.

Analysis of gaze patterns during facade inspection to understand inspector sense-making processes.
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DOI:
10.1038/s41598-023-29950-w
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发表时间:
2023-02-20
期刊:
影响因子:
4.6
通讯作者:
Napolitano, Rebecca
Napolitano, Rebecca
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Saleem, Muhammad Rakeh;Mayne, Robert;Napolitano, Rebecca

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这项工作旨在捕捉专家在立面检查期间如何与结构进行交互,以便将来可以使用自主机器人进行更详细和更有情境意识的检查。眼动追踪可以映射检查人员在结构检查过程中正在查看的位置,并识别隐含的人类注意力。在损坏评估期间对立面进行了实验,以分析关键的基于视觉的特征,这些特征对于理解过程中人类与基础设施的交互非常重要。对于数据收集和分析,进行实验以评估检查员的行为变化,同时评估真实的结构。这些眼动跟踪功能为检查员的意图预测提供了基础,并用于了解人类在检查过程中如何与结构互动。这种方法将促进信息共享和决策过程中的协作人类机器人团队的检查过程中,因此,它将使无人机(UAV)通过人工智能支持未来的建筑物检查。
This work seeks to capture how an expert interacts with a structure during a facade inspection so that more detailed and situationally-aware inspections can be done with autonomous robots in the future. Eye tracking maps where an inspector is looking during a structural inspection, and it recognizes implicit human attention. Experiments were performed on a facade during a damage assessment to analyze key, visually-based features that are important for understanding human-infrastructure interaction during the process. For data collection and analysis, experiments were conducted to assess an inspector’s behavioral changes while assessing a real structure. These eye tracking features provided the basis for the inspector’s intent prediction and were used to understand how humans interact with the structure during the inspection processes. This method will facilitate information-sharing and decision-making during the inspection processes for collaborative human-robot teams; thus, it will enable unmanned aerial vehicle (UAV) for future building inspection through artificial intelligence support.
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