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Combining information in different color-coding mechanisms to facilitate visual search.

机译:以不同的颜色编码机制组合信息,以方便视觉搜索。

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摘要

An earlier experiment using a yes-no procedure with a search accuracy task [A.L. Nagy, G. Thomas, Distractor heterogeneity, attention, and color in visual search tasks, Vision Research, 43 (2003) 1541-1552] showed that observers could combine information in different cardinal color mechanisms to facilitate search performance. In the experiments reported here we attempted to replicate these results with a forced-choice procedure and tested three different models of the manner in which information in different feature coding mechanisms is combined. One model was a linear summing model in which signals in different mechanisms are linearly summed in a mechanism under the control of attention. The summed signals are used to guide attention to likely targets. The second model was a nonlinear selection model in which signals in one mechanism are used to select stimuli for attention. A decision is then based on signals generated by the selected stimuli in a mechanism other than the one that is used for selection. The third model was the linear separability model, which suggests that the chromaticity of the target stimulus must be separated from the chromaticities of the distractor stimuli by a straight line in a chromaticity diagram for efficient search. Results favored the nonlinear selection model over the linear summing model and the linear separability model.
机译:使用“是-否”过程进行搜索精度任务的早期实验[A.L. Nagy,G. Thomas,视觉搜索任务中的Distractor异质性,注意力和颜色,Vision Research,43(2003)1541-1552]表明观察者可以将信息结合到不同的主色机制中,以促进搜索性能。在这里报告的实验中,我们尝试使用强制选择程序来复制这些结果,并测试了三种不同模式的模型,这些模型结合了不同特征编码机制中的信息。一种模型是线性求和模型,其中将不同机制的信号在注意力控制下线性求和。求和信号用于将注意力引导到可能的目标。第二种模型是非线性选择模型,其中一种机制中的信号用于选择要注意的刺激。然后基于除用于选择的机制之外的其他机制中的选定刺激所生成的信号进行决策。第三个模型是线性可分离性模型,该模型建议目标刺激的色度必须与色度图中的一条直线相分离,以实现有效搜索。结果表明,非线性选择模型优于线性求和模型和线性可分离性模型。

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