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Updated: May 8, 2026

07:43
A Naturalistic Setup for Presenting Real People and Live Actions in Experimental Psychology and Cognitive Neuroscience Studies
Published on: August 4, 2023
Random generation is what comes to mind in naturalistic settings.
Lucas Castillo1, Pablo León-Villagrá2, Johanna K Falbén3
1University of Warwick, UK.
Cognition
|May 7, 2026
Summary
Human number sequence generation deviates from randomness due to a common cognitive process, not just cognitive load. This suggests a stable, general-purpose "Local Sampling" ability underlies unpredictable output.
Area of Science:
- Cognitive Psychology
- Decision Science
- Behavioral Economics
Background:
- Human generation of random sequences deviates from true randomness.
- Individual differences in these deviations are significant but unexplained.
- Existing theories propose cognitive monitoring or a general sampling ability.
Purpose of the Study:
- To differentiate between cognitive monitoring and Local Sampling theories of random sequence generation.
- To investigate the stability of individual differences in random generation across tasks.
- To computationally model human performance in sequence generation.
Main Methods:
- Participants generated number sequences under random and "as they come to mind" conditions.
- Two experiments varied production speed and used a non-uniform distribution.
- Deviations from randomness were measured, and computational models were applied.
Main Results:
- Deviation patterns were similar across both sequence generation tasks, supporting Local Sampling.
- Individual differences were consistent across tasks, indicating a common underlying process.
- Computational models showed stable parameter correlations, highlighting task-independent sampling dependencies.
Conclusions:
- Random sequence generation relies on a stable, general-purpose "Local Sampling" faculty.
- Individual differences stem from variations in the sampler's features, not task-specific strategies.
- This faculty is consistent across time and tasks, influencing judgments and choices.
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