The impact of feedback semantics in visual word recognition: Number-of-features effects in lexical decision and naming tasks

Penny M. Pexman; Stephen J. Lupker; Yasushi Hino

doi:10.3758/BF03196311

The impact of feedback semantics in visual word recognition: Number-of-features effects in lexical decision and naming tasks

Penny M. Pexman^*, Stephen J. Lupker, Yasushi Hino

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

146 Citations (Scopus)

Abstract

The notion of feedback activation from semantics to both orthography and phonology has recently been used to explain a number of semantic effects in visual word recognition, including polysemy effects (Hino & Lupker, 1996; Pexman & Lupker, 1999) and synonym effects (Pecher, 2001). In the present research, we tested an account based on feedback activation by investigating a new semantic variable: number of features (NOF). Words with high NOF (e.g., LION) should activate richer semantic representations than do words with low NOF (e.g., LIME). As a result, the feedback activation from semantics to orthographic and phonological representations should be greater for high-NOF words, which should produce superior lexical decision task (LDT) and naming task performance. The predicted facilitory NOF effects were observed in both LDT and naming.

Original language	English
Pages (from-to)	542-549
Number of pages	8
Journal	Psychonomic Bulletin and Review
Volume	9
Issue number	3
DOIs	https://doi.org/10.3758/BF03196311
Publication status	Published - 2002 Sept
Externally published	Yes

ASJC Scopus subject areas

Experimental and Cognitive Psychology
Developmental and Educational Psychology
Arts and Humanities (miscellaneous)

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10.3758/BF03196311

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abstract = "The notion of feedback activation from semantics to both orthography and phonology has recently been used to explain a number of semantic effects in visual word recognition, including polysemy effects (Hino & Lupker, 1996; Pexman & Lupker, 1999) and synonym effects (Pecher, 2001). In the present research, we tested an account based on feedback activation by investigating a new semantic variable: number of features (NOF). Words with high NOF (e.g., LION) should activate richer semantic representations than do words with low NOF (e.g., LIME). As a result, the feedback activation from semantics to orthographic and phonological representations should be greater for high-NOF words, which should produce superior lexical decision task (LDT) and naming task performance. The predicted facilitory NOF effects were observed in both LDT and naming.",

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AU - Hino, Yasushi

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The impact of feedback semantics in visual word recognition: Number-of-features effects in lexical decision and naming tasks

Abstract

ASJC Scopus subject areas

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