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异体字表征在字体不变字母识别中的作用。

The role of allograph representations in font-invariant letter identification.

作者信息

Rothlein David, Rapp Brenda

机构信息

Department of Veterans Affairs.

Department of Cognitive Science, Johns Hopkins University.

出版信息

J Exp Psychol Hum Percept Perform. 2017 Jul;43(7):1411-1429. doi: 10.1037/xhp0000384. Epub 2017 Apr 3.

Abstract

The literate brain must contend with countless font variants for any given letter. How does the visual system handle such variability? One proposed solution posits stored structural descriptions of basic letter shapes that are abstract enough to deal with the many possible font variations of each letter. These font-invariant representations, referred to as allographs in this paper, while frequently posited, have seldom been empirically evaluated. The research reported here helps to address this gap with 2 experiments that examine the possible influence of allograph representations on visual letter processing. In these experiments, participants respond to pairs of letters presented in an atypical font in 2 tasks-visual similarity judgments (Experiment 1) and same/different decisions (Experiment 2). By using representational similarity analysis (RSA) in conjunction with linear mixed effect models (LMEM; RSA-LMEM) we show that the similarity structure of the responses to the atypical font is influenced by the predicted similarity structure of allograph representations even after accounting for font-specific visual shape similarity. Similarity due to symbolic (abstract) identity, name, and motor representations of letters are also taken into account providing compelling evidence for the unique influence of allograph representations in these tasks. These results provide support for the role of allograph representations in achieving font-invariant letter identification. (PsycINFO Database Record

摘要

有文化的大脑必须应对任何给定字母的无数字体变体。视觉系统是如何处理这种变异性的呢?一种提出的解决方案假定存储了基本字母形状的结构描述,这些描述足够抽象,能够处理每个字母的许多可能字体变体。本文中称为异体字的这些字体不变表示,虽然经常被假定,但很少经过实证评估。这里报告的研究通过两个实验来填补这一空白,这两个实验考察了异体字表示对视觉字母处理的可能影响。在这些实验中,参与者在两项任务中对以非典型字体呈现的字母对做出反应——视觉相似性判断(实验1)和相同/不同判断(实验2)。通过将表征相似性分析(RSA)与线性混合效应模型(LMEM;RSA-LMEM)结合使用,我们表明,即使在考虑了特定字体的视觉形状相似性之后,对非典型字体反应的相似性结构仍受异体字表示预测相似性结构的影响。字母的符号(抽象)身份、名称和运动表征所导致的相似性也被考虑在内,为异体字表示在这些任务中的独特影响提供了有力证据。这些结果为异体字表示在实现字体不变字母识别中的作用提供了支持。(PsycINFO数据库记录)

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