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Published on: March 18, 2019
Number line compression and the illusory perception of random numbers
Arnaud Viarouge1, Edward M Hubbard, Stanislas Dehaene
1INSERM-CEA Cognitive Neuroimaging Unit, Gif/Yvette, France. arnaud.viarouge@vanderbilt.edu
Experimental Psychology
|April 13, 2010
Summary
Adults show a "compression illusion" where large numbers are perceived as closer together than they are. This numerical bias persists even after training, indicating a robust, context-dependent cognitive effect.
Area of Science:
- Cognitive psychology
- Developmental psychology
- Numerical cognition
Background:
- Children initially have a compressed intuition of numerical distances, with larger numbers being less discriminable.
- Education linearizes numerical intuition by age eight, enabling symbolic numeral mapping onto a spatial scale.
- A dormant form of numerical compression may persist in adults.
Purpose of the Study:
- To investigate the persistence of numerical distance compression in adult cognition.
- To determine if this illusion is observable in adult participants under specific experimental conditions.
Main Methods:
- Adult participants rated sequences of numbers for randomness, specifically assessing oversampling of small or large numbers.
- A geometric series oversampling small numbers was judged as random, indicating a compression bias for large numbers.
- Training involved a number-space mapping task, and participants were exposed to linear sequences.
Main Results:
- Participants showed a significant bias, misjudging a geometric series as random due to compressed perception of large numbers.
- The illusion persisted despite training on a number-space mapping task, even with linear performance on that task.
- Explicit exposure to linear sequences moderately reduced the illusion, but responding remained significantly compressed.
Conclusions:
- The numerical compression illusion is robust in adults within this task context.
- Adults can exhibit both linear and compressed numerical responding depending on the experimental setup.
- Cognitive context plays a crucial role in revealing dormant numerical biases.
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