Submission 483
When Numerical and Physical Magnitudes Compete: Insights from the Size Congruity Task in Professional Mathematicians
SymposiumTalk-03
Presented by: Martyna Sroka
Automatic processing of numerical magnitude is commonly examined using the Size Congruity (Numerical Stroop) Task, in which numerical value can facilitate or interfere with judgments of the physical size of numbers. The present study investigated whether expert mathematicians (PhD students/PhD holders with an MSc in mathematics) differ from matched controls in strength of this automatic processing. Participants viewed pairs of digits that differed in both numerical value and physical size and indicated which digit was physically larger while ignoring numerical value. Trials were either congruent (numerically smaller number written in smaller font than the numerically larger number) or incongruent (numerically smaller number written in larger font than the numerically larger number).
Preliminary results (a subset of the target sample tested to date, N=73, including 39 mathematicians) showed high overall accuracy (97.9% ± 2.2%), with higher values for congruent (98.5% ± 1.7%) than incongruent trials (97.3% ± 2.5%). Accuracy did not differ between mathematicians (97.9% ± 2.3%) and controls (97.8 ± 2.1%), and groups did not differ in the magnitude of the congruency effect. Reaction-time analyses showed a similar pattern: participants were significantly faster on congruent than incongruent trials, but neither the main effect of group nor the interaction reached significance.
The Size Congruity effect was present in both groups in terms of accuracy and reaction times, indicating that automatic numerical information, even when task-irrelevant, is processed similarly by mathematicians and controls. These preliminary findings do not support the hypothesis that mathematical expertise affects strength of the Numerical Stroop effect.