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The simultaneous recognition of multiple words: A process analysis.

Anne Voormann1, Mikhail S Spektor2,3,4, Karl Christoph Klauer2

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Summary
This summary is machine-generated.

Memory performance is better for single words than word pairs. Cognitive models suggest discrete states, not continuous processes, underlie decisions in paired-word recognition tasks.

Keywords:
Cognitive modelingContinuous modelsDiscrete-state modelsRecognition memory

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Memory Research

Background:

  • Recognition memory research predominantly uses single-item paradigms.
  • Real-world recognition often involves multiple items simultaneously.
  • Existing models struggle to explain multi-item recognition processes.

Purpose of the Study:

  • To systematically investigate cognitive differences between single-word and paired-word recognition.
  • To compare the performance and underlying mechanisms of single vs. paired-word recognition.
  • To adapt and evaluate existing recognition memory models for paired-word scenarios.

Main Methods:

  • Conducted two experiments with 170 participants using single-word and paired-word recognition tests.
  • Collected behavioral data on recognition accuracy and decision dependencies.
  • Extended and compared discrete-state and continuous models of recognition memory.

Main Results:

  • Participants demonstrated better memory performance in single-word tests compared to paired-word tests.
  • Dependencies were observed between decisions for words within a pair.
  • Model comparison favored a discrete-state model, indicating discrete processing for paired-word decisions.

Conclusions:

  • Multiple-item recognition is processed fundamentally differently from single-item recognition.
  • Discrete-state models better explain the observed dependencies in paired-word recognition.
  • The study provides a novel paradigm for studying multiple-item recognition behaviorally and computationally.