Stupina, Ekaterina, Myachykov, Andriy and Shtyrov, Yury (2018) Automatic Lexical Access in Visual Modality: Eye-Tracking Evidence. Frontiers in Psychology, 9. p. 1847. ISSN 1664-1078
|
Text
fpsyg-09-01847.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (980kB) | Preview |
Abstract
Language processing has been suggested to be partially automatic, with some studies suggesting full automaticity and attention independence of at least early neural stages of language comprehension, in particular, lexical access. Existing neurophysiological evidence has demonstrated early lexically specific brain responses (enhanced activation for real words) to orthographic stimuli presented parafoveally even under the condition of withdrawn attention. These studies, however, did not control participants’ eye movements leaving a possibility that they may have foveated the stimuli, leading to overt processing. To address this caveat, we recorded eye movements to words, pseudowords, and non-words presented parafoveally for a short duration while participants performed a dual non-linguistic feature detection task (color combination) foveally, in the focus of their visual attention. Our results revealed very few saccades to the orthographic stimuli or even to their previous locations. However, analysis of post-experimental recall and recognition performance showed above-chance memory performance for the linguistic stimuli. These results suggest that partial lexical access may indeed take place in the presence of an unrelated demanding task and in the absence of overt attention to the linguistic stimuli. As such, our data further inform automatic and largely attention-independent theories of lexical access.
Item Type: | Article |
---|---|
Subjects: | C800 Psychology |
Department: | Faculties > Health and Life Sciences > Psychology |
Depositing User: | Becky Skoyles |
Date Deposited: | 20 Nov 2018 13:19 |
Last Modified: | 01 Aug 2021 09:22 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/36821 |
Downloads
Downloads per month over past year