对不同物体进行注意力跟踪时的特征绑定。
Feature binding in attentive tracking of distinct objects.
作者信息
Makovski Tal, Jiang Yuhong V
机构信息
Department of Psychology, University of Minnesota.
出版信息
Vis cogn. 2009;17(1-2):180-194. doi: 10.1080/13506280802211334.
To what degree can attentive tracking of objects' motion benefit from increased distinctiveness in the objects' surface features? To address this question, we asked observers to track 4 moving digits among a total of 8 moving digits. By varying the distinctiveness of the digits' color and identity, we found that tracking performance improved when the 8 objects were all distinct in color, digit identity, or both, compared to when the 8 objects were identical. However, when the 8 objects were distinct in a combination of color and digit but targets and nontargets shared color or digit identity, performance enhancement was not observed. Four follow-up experiments extended the range of the feature dimensions generating the effect and ruled out alternative strategic accounts. We conclude that surface features can be used to enhance tracking performance. This enhancement is feature-based, revealing a limited degree of feature binding in attentive tracking.
对物体运动的注意力跟踪在多大程度上能从物体表面特征的独特性增加中受益？为了解决这个问题，我们要求观察者在总共8个移动数字中跟踪4个移动数字。通过改变数字的颜色和身份的独特性，我们发现，与8个物体完全相同的情况相比，当8个物体在颜色、数字身份或两者上都不同时，跟踪性能会提高。然而，当8个物体在颜色和数字的组合上不同，但目标和非目标共享颜色或数字身份时，并未观察到性能提升。四项后续实验扩展了产生该效应的特征维度范围，并排除了其他策略性解释。我们得出结论，表面特征可用于提高跟踪性能。这种提高是基于特征的，揭示了注意力跟踪中有限程度的特征绑定。
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