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首页> 外文期刊>Security Journal >Self-rated attention to detail predicts threat detection performance in security X-ray images
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Self-rated attention to detail predicts threat detection performance in security X-ray images

机译：对细节的自我评价可预测安全X射线图像中的威胁检测性能

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Visual checks of thousands of X-ray images are carried out daily to detect and confiscate items that may compromise public security. Although technological advances are improving detection accuracy, screener-specific factors are also likely to matter. Here we investigated whether individual differences in self-rated attention to detail predicted performance on a simulated X-ray task with real small-vehicle images. An established measure of attention to detail was used to screen 124 naive adults; of these 29 high (n=15) and low (n=14) scoring individuals completed a detection task on unseen X-ray images. High scorers showed better performance than low scorers. The advantage emerged in both sensitivity (higher d') and localization, with high scorers unaffected by task-irrelevant correspondence between vehicle direction and response location. These findings suggest that greater attention to detail is associated with enhanced detection ability, and that recruitment processes for security officers may be improved by assessing Attention to Detail traits.
机译：每天都要对数千个X射线图像进行视觉检查，以发现和没收可能危害公共安全的物品。尽管技术进步正在提高检测精度，但特定于筛选器的因素也可能很重要。在这里，我们调查了在对带有真实小型车辆图像的模拟X射线任务的自评注意力对细节的预测性能上是否存在个体差异。已确定的对细节的关注程度用于筛选124位未成年人。在这29位得分高（n = 15）和得分低（n = 14）的个人中，完成了对看不见的X射线图像的检测任务。高分者表现出比低分者更好的表现。优势体现在灵敏度（较高的d'）和本地化方面，高分者不受车辆方向与响应位置之间与任务无关的对应关系的影响。这些发现表明，对细节的更多关注与增强的检测能力有关，并且可以通过评估“关注细节”特征来改善安全人员的招聘过程。

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