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[Cognition of binary-event-sequences: its relation to the sequential attributes].

T Kasai

    Shinrigaku Kenkyu : the Japanese Journal of Psychology
    |June 1, 1986
    PubMed
    Summary
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    Subjects judged binary sequences based on run structure and event counts, not probabilistic generation. Visual aspects influenced perception over statistical properties.

    Area of Science:

    • Cognitive psychology
    • Information processing
    • Statistical perception

    Context:

    • Human perception of random sequences
    • Evaluation of Bernoulli process outputs
    • Subjective similarity judgments

    Purpose:

    • Investigate cognitive attributes for binary sequence similarity
    • Compare empirical findings with theoretical dimensions
    • Understand human interpretation of probabilistic data

    Summary:

    • Sixty subjects assessed similarity of 15 Bernoulli-generated binary sequences.
    • Hayashi's Quantification Method IV identified run structure and event count as key attributes.
    • Subjects prioritized visual/spatial sequence features over probabilistic generation characteristics.

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    Impact:

    • Highlights cognitive biases in interpreting random data
    • Informs models of human judgment under uncertainty
    • Suggests limitations in statistical reasoning without explicit training