Add like
Add dislike
Add to saved papers

Cross-modal masked repetition and semantic priming in auditory lexical decision.

The underlying processes and mechanisms supporting the recognition of visually and auditorily presented words have received considerable attention in the literature. To a lesser extent, the interplay between visual and spoken lexical representations has also been investigated using cross-modal lexical processing paradigms, yielding evidence that auditorily presented words influence visual word recognition, and vice versa. The present study extends this work by examining and comparing the relative sizes of cross-modal repetition (cat-CAT) and semantic (dog-CAT) priming in auditory lexical decision, using heavily masked, briefly presented visual primes and a common set of auditory targets. Even when conscious awareness of the prime was minimized, reliable cross-modal repetition and semantic priming was observed. More critically, repetition priming was stronger than semantic priming, consistent with the idea that multiple pathways connect the two modalities. Implications of the findings for the bidirectional interactive activation model (Grainger & Ferrand, 1994) are discussed.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app