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Related Experiment Videos

Accessing distant premise information: how memory feeds reasoning.

R Brooke Lea1, Elizabeth J Mulligan2, Jennifer Lee Walton3

  • 1Department of Psychology, Macalester College.

Journal of Experimental Psychology. Learning, Memory, and Cognition
|May 25, 2005
PubMed
Summary
This summary is machine-generated.

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Readers struggle with logical inferences from distant text premises unless cues reinstate information. This impacts how people process information and build mental models during reading comprehension.

Area of Science:

  • Cognitive Psychology
  • Psycholinguistics
  • Reading Comprehension

Background:

  • Psychological models suggest people can make deductions from information presented at different times or sources.
  • Effective inference-making is crucial for deep text comprehension and constructing mental representations.

Purpose of the Study:

  • To investigate how the spatial distance between premises in a text affects logical inference.
  • To determine if contextual cues can overcome the negative impact of premise distance on inference.
  • To examine the integration of deductions into the reader's situation model.

Main Methods:

  • Three reading-comprehension experiments were conducted.
  • Participants read texts with premises placed at varying distances.

Related Experiment Videos

  • Contextual cues were manipulated in specific experimental conditions.

    • Main Results:

    • Distant premises were not accessed and thus not used for logical inferences.
    • Reinstatement of distant premises via contextual cues enabled their use in inferences.
    • Deductions made from reinstated premises were integrated into the reader's situation model.

    Conclusions:

    • Textual premise distance significantly hinders logical inference due to memory retrieval limitations.
    • Contextual cues play a vital role in reinstating information and facilitating deductive reasoning.
    • Reading comprehension involves a dynamic interplay between memory-based processing and schema-driven reasoning.