Numerical cognition
Do we do math automatically, even when told to ignore it?
Open access · cc by · source: Europe PMC
Just seeing a multiplication problem slowed people's ability to name its ink colour as much as seeing a word did, and harder problems slowed them more, suggesting arithmetic facts are processed automatically.
Study at a glance
- Design
- Human experiment — Single online within-subject colour-naming experiment comparing multiplication equations with neutral symbols, same-digit strings and neutral words, and equations varying in result size, correctness and parity
- N
- N=55 · 56 university students tested; 1 excluded for low accuracy
- Population
- Hebrew-speaking university students in Israel
- Outcome
- Colour-naming reaction time (and accuracy) by stimulus type and by equation size, correctness and parity
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Key findings
Colour naming was fastest for symbols, slower for digit strings, and slowest for equations and words, which did not differ from each other; equations were also slower than digit strings. Among equations, those with large results (above 30) slowed responses more than small ones, and wrong answers with the same odd/even status as the true answer slowed responses more than wrong answers with the opposite parity. Whether the equation was correct or incorrect made no difference.
Methodology
University students pressed keys to report the ink colour of items on screen, ignoring what the items said. Items were neutral symbols like ####, strings of one repeated digit, ordinary Hebrew words, or multiplication equations such as 6 × 7 = 42 that were either correct or off by one or two. To make distraction more visible, most trials used neutral symbols or equations, a 'low-control' setup that reduces people's guard against irrelevant information.
Limitations
The study does not show that people actually computed the answers; the effects could reflect fast familiarity or plausibility checks rather than full calculation, as the authors note. Equations and words are visually more complex than symbols and digit strings, so part of the slowdown may reflect stimulus complexity, although the size and parity effects compare equations of similar complexity. It is a single online experiment with young Hebrew-speaking students and no replication, and the predicted correctness effect did not appear.
How this study connects
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