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Why word length only matters in the left visual field.
Carol Whitney1, Michal Lavidor
1Department of Computer Science, Neural and Cognitive Sciences Program, University of Maryland, A.V. Williams Building, College Park, MD 20742, USA. cwhitney@cs.umd.edu
Neuropsychologia
|August 26, 2004
Summary
Visual word recognition shows a length effect in the left visual field (LVF) but not the right (RVF). Manipulating letter contrast revealed this asymmetry stems from hemisphere-specific activation patterns, not inherent processing differences.
Area of Science:
- Cognitive psychology
- Neuroscience
- Visual perception
Background:
- Visual word recognition is influenced by stimulus presentation location.
- String length affects performance in the left visual field (LVF) but not the right visual field (RVF).
- The SERIOL model proposes letter-position encoding underlies visual processing.
Purpose of the Study:
- To investigate the cause of the visual word recognition length effect asymmetry between the LVF and RVF.
- To test the hypothesis that hemisphere-specific activation patterns, as predicted by the SERIOL model, explain the LVF/RVF difference.
- To determine if the length effect is an inherent property of right-hemisphere processing.
Main Methods:
- A lexical-decision experiment was employed.
- Positional manipulations of letter contrast were used to adjust bottom-up activation patterns.
- Performance was measured for word stimuli presented to the LVF and RVF under manipulated contrast conditions.
Main Results:
- Manipulating letter contrast eliminated the LVF length effect by facilitating responses to longer words.
- This manipulation created a length effect in the RVF by slowing responses to longer words.
- The findings indicate the length effect is not an inherent property of right-hemisphere processing.
Conclusions:
- Hemisphere-specific activation patterns are the source of the asymmetry in the visual word recognition length effect.
- The observed length effect asymmetry is not due to inherent differences in LVF and RVF processing capabilities.
- The SERIOL model provides a viable framework for understanding letter-position encoding and visual field asymmetries.