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Attention is allocated to figures only under conditions of uncertainty

机译:仅在不确定情况下才将注意力分配给数字

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It is widely assumed that attention is automatically drawn to figures, which, if true, would have important implications how attention functions. Nelson and Palmer (2007) found support for this assumption using displays in which a central border divided a rectangle into two equal-area regions and the familiarity of an object sketched on one side of the central border served as the sole figural cue. They found faster, more accurate, responses to targets on the familiar side of the central border rather than the complementary side. If attention is automatically drawn to figures, similar results should be obtained under different presentation conditions. Nelson and Palmer used large displays (18?° x 20?°), and high spatiotemporal uncertainty regarding the target (12 potential locations, and 0, 150, 250, or 500-ms SOAs). Using smaller displays (5.3?° x 5.5?°) and lower spatiotemporal uncertainty (4 target locations, 80-ms SOA), we failed to observe evidence that attention is automatically drawn to figures, p 0.6, although we replicated their effects when we used large stimuli (14?° x 20?°) with variable SOAs and target locations like theirs, p .05 (VSS 2011). This year we tested whether subjects adopt a strategy of attending to the familiar configuration under conditions of high target spatiotemporal uncertainty by using the same large displays but lower spatiotemporal uncertainty (4 target locations and an 80-ms SOA). We failed to find any evidence of an attentional advantage for figures in either accuracy or RTs, ps 0.16. The difference in response patterns in the two experiments with different spatiotemporal uncertainty was significant, p .04. Our results indicate that attention is not automatically drawn to figures. Instead, it is strategically deployed to familiar figures under conditions of high spatiotemporal uncertainty. The question remains whether this strategy applies to all figural cues or only to familiarity.
机译:人们普遍认为注意力是自动吸引到数字的,如果这是真的,将对注意力的运作产生重要影响。 Nelson and Palmer(2007)使用显示器来支持这一假设,在显示器中,中央边框将一个矩形划分为两个相等的区域,而在中央边框的一侧绘制的对象的熟悉程度则是唯一的图形提示。他们发现在中央边界熟悉的一侧而不是互补的一侧对目标的反应更快,更准确。如果自动注意数字,则应在不同的演示条件下获得相似的结果。 Nelson和Palmer使用大尺寸显示屏(18°x x 20°),并且对目标物具有很高的时空不确定性(12个可能的位置以及0、150、250或500毫秒的SOA)。使用较小的显示屏(5.3?x x 5.5?°)和较低的时空不确定性(4个目标位置,80-ms SOA),我们无法观察到证据会自动将注意力吸引到数字p> 0.6,尽管我们复制了它们的影响。我们使用具有可变SOA和目标位置(如p <.05(VSS 2011))的大型刺激(14°x x 20°)。今年,我们测试了对象是否采用相同的大尺寸显示屏但时空不确定性较低(4个目标位置和80毫秒SOA)在高目标时空不确定性条件下采取熟悉的配置的策略。我们没有发现任何证据表明数字在准确性或RT上具有吸引人的优势,ps> 0.16。在两个具有不同时空不确定性的实验中,响应模式的差异很明显,p <.04。我们的结果表明,注意力不会自动吸引到数字上。取而代之的是,在时空高度不确定的情况下,将其策略性地部署到熟悉的人物上。问题仍然在于,该策略是否适用于所有形象暗示或仅适用于熟悉程度。

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