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Martin, Fink, Laine & Ayala, 2004: Used Dell & O'Seaghdha's (1992) interactive activation (IA) model to explain effects of repetition priming on naming:

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The interactive activation (IA) model, proposed by Dell & O'Seaghdha (1992), explains the process of word recognition and production. In the context of repetition priming, the IA model suggests that when a word is repeated, it activates a network of related words in the mental lexicon, making it easier to access and produce the word.

Step-by-step explanation:

IA Model and Effects of Repetition Priming on Naming



The interactive activation (IA) model, proposed by Dell & O'Seaghdha (1992), is a framework that explains the process of word recognition and production. In the context of repetition priming, the IA model suggests that when a word is repeated, it activates a network of related words in the mental lexicon, making it easier to access and produce the word. This priming effect occurs due to the spreading activation among related words. For example, if you see the word 'dog' multiple times, it will become easier for you to recognize and produce the word 'dog' in subsequent tasks.

In the study by Martin, Fink, Laine & Ayala (2004), they used Dell & O'Seaghdha's IA model to explain the effects of repetition priming on naming. They observed that when participants were primed with a related word before performing a naming task, their response times were faster compared to when they were not primed. This suggests that repetition priming facilitates the retrieval and production of words by activating related words in the mental lexicon.

Overall, the IA model provides insights into the role of priming and the mechanisms underlying word recognition and production.

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