Are there independent effects of constraint and predictability on eye movements during reading?

可预测性 约束(计算机辅助设计) 背景(考古学) 句子处理 判决 认知心理学 眼球运动 计算机科学 阅读(过程) 心理语言学 自然语言处理 语境效应 心理学 词(群论) 人工智能 语言学 认知 数学 统计 历史 考古 神经科学 哲学 几何学
作者
Roslyn Wong,Aaron Veldre,Sally Andrews
出处
期刊:Journal of Experimental Psychology: Learning, Memory and Cognition [American Psychological Association]
卷期号:50 (2): 331-345 被引量:13
标识
DOI:10.1037/xlm0001206
摘要

Evidence of processing costs for unexpected words presented in place of a more expected completion remains elusive in the eye-movement literature. The current study investigated whether such prediction error costs depend on the source of constraint violation provided by the prior context. Participants' eye movements were recorded as they read predictable words and unpredictable alternatives that were either semantically related or unrelated in three-sentence passages. The passages differed in whether the source of constraint originated solely from the global context provided by the first two semantically rich sentences of the passage, from the local context provided by the final sentence of the passage, from both the global and local context, or from none of the three sentences of the passage. The results revealed the expected processing advantage for predictable completions in any constraining context, although the relative contributions of the different sources of constraint varied across the time course of word processing. Unpredictable completions, however, did not yield any processing costs when the context constrained toward a different word, instead producing immediate processing benefits in the presence of any constraining context. Moreover, the initial processing of related unpredictable completions was enhanced further by the provision of a supportive global context. Predictability effects therefore do not appear to be determined by cloze probability alone but also by the nature of the prior contextual constraint especially when they encourage the construction of higher-level discourse representations. The implications of these findings for understanding existing theoretical models of predictive processing are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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