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The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

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Novel Symbol Learning-Induced Stroop Effect: Evidence for a Strategy-Based, Utility Learning Model.

Jin Wang^1,2, Huijun Tang^1,2, Yuan Deng³

¹Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16# Lincui Road, Chaoyang District, Beijing, 100101, People's Republic of China.

Journal of Psycholinguistic Research

|October 6, 2015

Summary

Training influences the Stroop effect by altering automaticity and attention strategies. Early learning of written symbols, like Chinese, supports strategy-based accounts for the Stroop effect mechanism.

Keywords:

Automaticity Interference Strategy-based Stroop Training

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Area of Science:

Cognitive Psychology
Neuroscience
Human-Computer Interaction

Background:

The Stroop effect is a well-studied phenomenon in cognitive psychology.
Two primary theories, automaticity and attention/strategy, attempt to explain its underlying mechanisms.
Training paradigms can manipulate task dimensions to investigate these theories.

Purpose of the Study:

To differentiate between automaticity and attention/strategy as explanations for the Stroop effect.
To investigate the impact of training on the Stroop effect using a novel symbol task and Chinese characters.
To refine existing training paradigms for Stroop effect research.

Main Methods:

Revised MacLeod's (1988) training paradigm for the Stroop task.
Introduced a control condition for the Stroop task using Chinese characters.
Compared training effects on Stroop tasks with novel symbols and Chinese.

Main Results:

Training led to similar patterns in both novel symbol and Chinese Stroop tasks.
A marked increase in interference was observed with training.
A marginal decrease in facilitation was noted with training.

Conclusions:

Findings support a strategy-based learning account for early stages of novel written symbol acquisition.
The study provides insights into how training modulates cognitive processes in the Stroop task.
Results contribute to understanding the interplay between automaticity and strategic control in perception.