Visual Search Processes in Camouflage Detection
研究了在包含隐藏士兵照片的搜索任务中，视觉信息处理模型的应用，发现即使对于低负荷任务，反应时间也慢于自动检测预期，表明需要特征整合处理来实现目标检测。
Recent models of visual information processing have been applied to the results of a search/ detection task involving photographic slides of concealed soldiers. It was postulated that since camouflaged persons could be regarded as examples of threshold items, automatic detection should not occur. Even for relatively low-load (easy) items, reaction times were slower than those that would have been expected had automatic detection occurred. The systematic increase in reaction time with task load implies that feature-integration processing was required to achieve target detection. In pointing towards a possible strategy for target detection using real-world stimuli, the results of this report may be important in the design and interpretation of camouflage detection trials.