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Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task

机译：在虚拟现实检查任务中评估有关过程度量的先验信息的有效性

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Due to the nature of the complexity of the aircraft maintenance industry, much emphasis has been placed on improving aircraft inspection performance. One proven technique for improving inspection performance is the use of training. Several strategies have been implemented for training, one of which is giving feedforward information. The use of a priori (feedforward) information is known to positively affect inspection performance (Ernst and Yovits, 1972; Long and Rourke, 1989; McKernan, 1989; Gramopadhye et al., 1997).? This information can consist of knowledge about defect characteristics (types, severity/criticality, and location) and the probability of occurrence. Although several studies have been conducted that demonstrate the usefulness of feedforward as a training strategy, there are certain research issues that need to be addressed. This study evaluates the effects of feedforward information on process measures in a simulated 3-dimensional environment (aircraft cargo bay) by the use of virtual reality.
机译：由于飞机维修行业的复杂性，已将许多重点放在改善飞机检查性能上。培训的使用是提高检验性能的一种行之有效的技术。已经实施了几种培训策略，其中一种是提供前馈信息。已知使用先验（前馈）信息会对检查性能产生积极影响（Ernst和Yovits，1972; Long和Rourke，1989; McKernan，1989; Gramopadhye等，1997）。该信息可以包含有关缺陷特征（类型，严重性/严重性和位置）以及发生概率的知识。尽管已进行了多项研究，证明前馈作为一种培训策略的有用性，但仍有一些研究问题需要解决。这项研究通过使用虚拟现实评估了前馈信息对模拟3维环境（飞机货舱）中过程度量的影响。

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