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Perceptual learning reduces identity errors but not position errors in visual crowding

机译:感知学习减少视觉拥挤中的身份错误,但不会减少位置错误

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A letter or object target when flanked by additional letters or objects becomes difficult to recognize in peripheral vision. Recent studies show that perceptual learning can reduce this crowding effect. In crowding, the target errors may be contributed to identity errors as well as position errors in that the central target is frequently reported to a flanker position (Zhang et al., 2012). In addition, flankers are often reported to the target position (Strasburger et al., 2005), although it is unclear whether these flanker reporting errors are the cause or result of crowding. In this study we investigated how the target identity and position errors, and the flanker reporting errors, are associated with crowding perceptual learning. Observers were trained to report the central target presented at 8o retinal eccentricity (partial report). Before and after training they also reported all three letters (whole report). The results show: (1) Five sessions of training reduced target recognition threshold by 33.6% in partial report tasks, suggesting reduced crowding via perceptual learning. (2) The target identity errors revealed by whole report tasks were reduced significantly except with smallest letters where crowding was the strongest. (3) However, the target position errors, defined by the ratios between actual and predicted whole report rates, were unchanged after normalized by target identity rate changes. (4) In addition, in partial report the flanker reporting errors when normalized by target reporting rates were unchanged after training. Perceptual learning reduces visual crowding by lowering target identity errors but not target position errors. The finding that flanker report errors were unchanged when training reduced crowding suggests that flanker reporting errors are more likely a result, not a cause, of crowding, in that the observers may be forced to report a more visible flanker when they fail to recognize the central target.
机译:当字母或物体的目标与其他字母或物体相接时,在外围视觉中变得难以识别。最近的研究表明,知觉学习可以减少这种拥挤效应。在拥挤中,目标错误可能会导致身份错误以及位置错误,原因是中心目标经常被报告到侧翼位置(Zhang等人,2012)。此外,侧翼经常被报告到目标位置(Strasburger等,2005),尽管不清楚这些侧翼报告错误是拥挤的原因还是结果。在这项研究中,我们调查了目标身份和位置错误以及侧翼报告错误如何与拥挤的感知学习相关联。观察者受到训练可以报告视网膜偏心距为8o时出现的中心目标(部分报告)。在训练前后,他们还报告了所有三个字母(整个报告)。结果表明:(1)五次培训将部分报告任务中的目标识别阈值降低了33.6%,表明通过感知学习减少了拥挤感。 (2)整个报告任务揭示的目标身份错误显着减少,除非拥挤程度最大的字母最小。 (3)但是,目标位置误差(由实际报告率与预测报告率之间的比率定义)在通过目标识别率变化进行归一化后未发生变化。 (4)此外,在部分报告中,通过目标报告率归一化后的侧翼报告错误在训练后未发生变化。感知学习通过降低目标身份错误而不是目标位置错误来减少视觉拥挤。当训练减少了拥挤时,侧翼报告错误没有改变的发现表明,侧翼报告错误更可能是拥挤的结果,而不是原因,因为观察者如果不认识中央,可能会被迫报告更明显的侧翼目标。

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