The overlap model: a model of letter position coding.

The overlap model: a model of letter position coding.
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DOI:
10.1037/a0012667
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发表时间:
2008-07
影响因子:
5.4
通讯作者:
Perea, Manuel
Perea, Manuel
中科院分区:
心理学1区
文献类型:
--
作者:
Gomez, Pablo;Ratcliff, Roger;Perea, Manuel

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最近的研究表明,字母身份和字母位置不是完整的知觉维度(例如,单词识别实验中的杂乱素数判断)。视觉单词识别的大多数综合计算模型(例如,交互式激活模型及其后续模型)假设单词内的每个字母的位置被完美编码。因此,这些模型不能解释字母移位(试行)、字母迁移(胡须面包)、重复字母(驼鹿-老鼠)或子集/超集效应(错误教师)的存在。作者将序关系理论推广到字母位置的编码中,并证明该模型能够成功地处理这些影响。基本假设是,视觉刺激中的字母在位置上有分布,因此一个字母的表示将延伸到相邻的字母位置。为了检验该模型,作者进行了一系列强迫选择知觉识别实验。重叠模型对经验数据的拟合效果很好,即使是一个简化的两参数模型也能够对104个观测数据点进行拟合,相关系数为0.91。
Recent research has shown that letter identity and letter position are not integral perceptual dimensions (e.g., jugde primes judge in word-recognition experiments). Most comprehensive computational models of visual word recognition (e.g., the interactive activation model,, and its successors) assume that the position of each letter within a word is perfectly encoded. Thus, these models are unable to explain the presence of effects of letter transposition (trial-trail), letter migration (beard-bread), repeated letters (moose-mouse), or subset/superset effects (faulty-faculty). The authors extend theory of order relations for encoding of letter positions and show that the model can successfully deal with these effects. The basic assumption is that letters in the visual stimulus have distributions over positions so that the representation of one letter will extend into adjacent letter positions. To test the model, the authors conducted a series of forced-choice perceptual identification experiments. The overlap model produced very good fits to the empirical data, and even a simplified 2-parameter model was capable of producing fits for 104 observed data points with a correlation coefficient of .91.
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