Abstract
We investigated the extent to which recognition of Chinese characters influenced same-different matching performance that did not require recognition. In each experimental trial, two partially occluded characters were shown sequentially, and participants decided whether or not they were the same. The two characters were either both upright or both inverted and mirror-reflected. The participants’ Chinese reading fluency spanned the full range, from not knowing any characters to native speakers. The participants who could recognize some characters (defined as readers) were subsequently tested with character recognition in a naming task. Interestingly, although the readers’ recognition accuracies well correlated with their years of Chinese language schooling, they were uncorrelated with the matching accuracies in the same-different task with upright characters. The only indication of top-down influence was the readers’ higher accuracy in matching upright than inverted and reflected characters. However, the magnitude of this effect was small, to the extent that the average same-different accuracies were comparable for readers and non-readers alike. This small effect was further confirmed with native speakers in China, who should give rise to the largest possible effect. We conclude that top-down influence from character recognition was present but very limited, at least with the task and stimuli used.
Highlights
One important question in human visual perception is how the visual system encodes an input stimulus into memory
We investigated the extent to which recognition of Chinese characters influenced same-different matching performance that did not require recognition
Since our primary interest was the influence of character recognition on lower-level samedifferent matching, we collapsed the 25 occlusion conditions and calculated the accuracies in proportion correct in the same-different task
Summary
One important question in human visual perception is how the visual system encodes an input stimulus into memory. This question is important when the stimulus is impoverished, for example, when partially occluded or imbedded in noise, because imperfect stimuli are common-place. One might expect that the visual system, working from the stimulus input, first “perceptually completes” the shape rather than encoding the raw stimulus image as is. Using a partially occluded face image, Kersten (1987)[2] demonstrated that humans could use the luminance of the face region that surrounds a small occluder to infer the luminance of the PLOS ONE | DOI:10.1371/journal.pone.0156517 June 3, 2016
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