Ester Edward F, Zilber Emma, Serences John T
Department of Psychology, University of California, San Diego, La Jolla, CA, USA.
Department of Psychology, University of California, San Diego, La Jolla, CA, USA Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA, USA.
J Vis. 2015 Jan 8;15(1):15.1.4. doi: 10.1167/15.1.4.
Visual crowding refers to a phenomenon whereby objects that appear in the periphery of the visual field are more difficult to identify when embedded within clutter. Pooling models assert that crowding results from an obligatory averaging or other combination of target and distractor features that occurs prior to awareness. One well-known manifestation of pooling is feature averaging, with which the features of target and nontarget stimuli are combined at an early stage of visual processing. Conversely, substitution models assert that crowding results from binding a target and nearby distractors to incorrect spatial locations. Recent evidence suggests that substitution predominates when target-flanker feature similarity is low, but it is unclear whether averaging or substitution best explains crowding when similarity is high. Here, we examined participants' orientation report errors for targets crowded by similar or dissimilar flankers. In two experiments, we found evidence inconsistent with feature averaging regardless of target-flanker similarity. However, the observed data could be accommodated by a probabilistic substitution model in which participants occasionally "swap" a target for a distractor. Thus, we conclude that-at least for the displays used here-crowding likely results from a probabilistic substitution of targets and distractors, regardless of target-distractor feature similarity.
视觉拥挤是指一种现象,即在视野边缘出现的物体,当嵌入杂乱背景中时更难识别。合并模型认为,拥挤是由于在意识之前发生的目标和干扰物特征的强制性平均或其他组合所致。合并的一个著名表现是特征平均,即目标和非目标刺激的特征在视觉处理的早期阶段进行组合。相反,替代模型认为,拥挤是由于将目标和附近的干扰物绑定到错误的空间位置所致。最近的证据表明,当目标-侧翼特征相似度较低时,替代占主导地位,但当相似度较高时,平均还是替代最能解释拥挤现象尚不清楚。在这里,我们研究了参与者对被相似或不相似侧翼拥挤的目标的方向报告误差。在两个实验中,我们发现无论目标-侧翼相似度如何,证据都与特征平均不一致。然而,观察到的数据可以由一个概率替代模型来解释,在该模型中,参与者偶尔会将目标与干扰物“交换”。因此,我们得出结论,至少对于这里使用的显示来说,拥挤可能是由于目标和干扰物的概率替代,而与目标-干扰物特征相似度无关。