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Category and word search: generalizing search principles to complex processing.

A D Fisk, W Schneider

    Journal of Experimental Psychology. Learning, Memory, and Cognition
    |April 1, 1983
    PubMed
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    Visual search for words and categories differs based on mapping consistency. Varied mapping (VM) shows slower, self-terminating search, while consistent mapping (CM) enables faster, more automatic processing, especially under high workload.

    Area of Science:

    • Cognitive Psychology
    • Human Perception
    • Visual Information Processing

    Background:

    • Visual search for single characters is well-understood.
    • Generalizing these principles to complex stimuli like words and categories is crucial.
    • Understanding automatic versus controlled processing in search is a key cognitive question.

    Purpose of the Study:

    • To investigate the generalization of visual search phenomena from single characters to words and word categories.
    • To compare search performance under varied mapping (VM) and consistent mapping (CM) conditions.
    • To assess the impact of high cognitive workload on visual search efficiency.

    Main Methods:

    • Three experiments were conducted using visual search paradigms.
    • Experiment 1: Word and category search with varied mapping (VM).

    Related Experiment Videos

  • Experiment 2: Word and category search with consistent mapping (CM).
  • Experiment 3: Category search under high workload (concurrent digit recall).
  • Main Results:

    • VM search showed linear reaction times (48 msec/word, 92 msec/category) and self-terminating processes.
    • CM search significantly reduced search slopes (2 msec/category, 18 msec/word) and introduced nonlinearities.
    • High workload severely impaired VM search but was overcome with practice in CM search.

    Conclusions:

    • Visual search efficiency is highly dependent on the consistency of target-distractor mapping.
    • Consistent mapping facilitates automatic processing, improving speed and resilience to workload.
    • Findings support a theory distinguishing automatic and controlled processing in visual search.