Flanker Lexical Decision Experiments on Letter and Bigram Effects

78,765 data points from three experiments test the symmetry of facilitation from single-letter and multi-letter flankers in visual word recognition. The dataset includes results from human participants and simulations from the PONG computational model, revealing a leftward advantage for single letters but symmetrical effects for bigrams. This dissociation suggests models of word recognition require hemifield or initial-letter weighting.

Use Cases

• Testing computational models of visual word recognition against empirical flanker task data.
• Analyzing hemifield symmetry differences between single-letter and multi-letter parafoveal information.
• Investigating the initial-letter advantage in lexical decision reaction times and accuracy.
• Comparing human participant data with PONG model simulation outputs for specific experimental conditions.

Strengths

• Contains 78,765 data points from three controlled experiments.
• Includes both empirical human data and quantitative predictions from the PONG computational model.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column names and a precise row count are not provided in the metadata, limiting immediate understanding of the data structure.
• The dataset description is detailed but lacks explicit documentation on variable definitions or data collection protocols.

Provenance

Source

Miguel Lázaro

Collection Method

Data from three flanker lexical decision experiments and corresponding PONG model simulations.

Time Range

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Freshness

Last updated on 2026-03-23.

Geography

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