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The contents of the search template for naturalistic visual search

机译：自然视觉搜索的搜索模板的内容

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Visual search involves the matching of visual input to a "search template" a?? an internal representation of task-relevant information. The present study investigated the contents of the search template during naturalistic visual search, for which low-level features do not reliably distinguish targets from non-targets. Participants were cued to detect people or cars in diverse photographs of real-world scenes. On a subset of trials, the cue was followed by task-irrelevant stimuli in place of scenes, directly followed by a dot that participants were instructed to detect. We hypothesized that stimuli that matched the active search template would capture attention, resulting in faster detection of the dot when presented at the location of a template-matching stimulus. Results revealed attentional capture for silhouettes, but not surface features (color and texture), of the cued category. Silhouettes captured attention irrespective of their orientation (0?°, 90?°, or 180?°). Interestingly, strong capture was observed for silhouettes of category-diagnostic object parts, such as the wheel of a car. Finally, attentional capture was also observed for silhouettes presented at task-irrelevant locations. Together, these results indicate that search for object categories in real-world scenes is mediated by spatially global search templates that consist of view-invariant shape representations of category-diagnostic object parts.
机译：视觉搜索包括将视觉输入与“搜索模板”进行匹配？任务相关信息的内部表示。本研究调查了自然视觉搜索过程中搜索模板的内容，这些搜索模板的低级功能无法可靠地将目标与非目标区分开。要求参与者在各种真实场景的照片中检测人或汽车。在一部分试验中，该提示之后是与任务无关的刺激代替场景，然后直接指示参与者检测到一个点。我们假设与主动搜索模板匹配的刺激会引起注意，从而在出现在模板匹配刺激的位置时会更快地检测到点。结果表明，该提示类别的轮廓吸引了注意力，但没有捕捉到表面特征（颜色和纹理）。剪影无论其方向（0°，90°或180°）如何都引人注目。有趣的是，观察到了类别诊断对象零件（例如汽车的车轮）轮廓的强烈捕获。最后，在与任务无关的位置上呈现的轮廓也被注意捕获。总之，这些结果表明，在现实世界场景中对对象类别的搜索是由空间全局搜索模板介导的，该模板由类别诊断对象部分的视图不变形状表示组成。

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