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无中央注意的视觉单词识别:阅读能力越强,自动化程度越高的证据。

Visual word recognition without central attention: evidence for greater automaticity with greater reading ability.

作者信息

Ruthruff Eric, Allen Philip A, Lien Mei-Ching, Grabbe Jeremy

机构信息

Department of Psychology, University of New Mexico, Albuquerque, New Mexico 87131, USA.

出版信息

Psychon Bull Rev. 2008 Apr;15(2):337-43. doi: 10.3758/pbr.15.2.337.

Abstract

The present study examined individual differences in the automaticity of visual word recognition. Specifically, we examined whether people can recognize words while central attention is devoted to another task and how this ability depends on reading skill. A lexical-decision Task 2 was combined with either an auditory or visual Task 1. Regardless of the Task 1 modality, Task 2 word recognition proceeded in parallel with Task 1 central operations for individuals with high Nelson-Denny reading scores, but not for individuals with low reading scores. We conclude that greater lexical skill leads to greater automaticity, allowing better readers to more efficiently perform lexical processes in parallel with other attention-demanding tasks.

摘要

本研究考察了视觉单词识别自动化方面的个体差异。具体而言,我们研究了在集中注意力于另一项任务时人们是否能够识别单词,以及这种能力如何依赖于阅读技能。词汇判断任务2与听觉或视觉任务1相结合。无论任务1的模态如何,对于纳尔逊-丹尼阅读分数高的个体,任务2的单词识别与任务1的核心操作并行进行,但阅读分数低的个体则不然。我们得出结论,更高的词汇技能会带来更高的自动化程度,使阅读能力更强的人能够更有效地与其他需要注意力的任务并行执行词汇处理过程。

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