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On random generation and the central executive of working memory
1Department of Psychology, Royal Holloway University of London, Egham, Surrey, UK.
British Journal of Psychology (London, England : 1953)
|April 9, 1998
Summary
Generating random numbers orally is challenging due to response speed and the number of choices. Participants avoid repeating responses, suggesting executive functions influence random sequence generation.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Behavioral Science
Background:
- Generating truly random sequences is a fundamental task in various fields, yet human performance often deviates from randomness.
- Previous research indicates that factors like response modality and available choices influence the perceived randomness of generated sequences.
Purpose of the Study:
- To investigate the cognitive processes underlying human generation of random sequences.
- To identify key factors affecting oral random number generation compared to key-pressing tasks.
- To explore the role of executive functions in producing random sequences.
Main Methods:
- Four experiments were conducted involving participants generating random sequences orally and via key-pressing.
- Response speed, response set size, and output modality were systematically varied.
- Analysis focused on response patterns, particularly the suppression of repetitions.
Main Results:
- Oral random number generation is significantly impacted by response speed and set size, unlike key-pressing tasks.
- Differences in set size effects were observed across output modalities (oral vs. key-pressing).
- A strong tendency to suppress response repetitions was found, decaying over time, with oral generation difficulty linked to representing choices.
Conclusions:
- Human random sequence generation is constrained by cognitive factors, including executive functions and working memory.
- Current models of attentional control need refinement to incorporate the distinct constraints observed in oral random number generation.
- Understanding these constraints is crucial for improving human performance in tasks requiring random output.