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Semantic feature production norms for manipulable objects.

Daniela Valério1,2, Akbar Hussain1,2, Jorge Almeida1,2

  • 1Proaction Laboratory, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.

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|November 25, 2023
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Summary
This summary is machine-generated.

This study created a detailed feature database for manipulable objects, revealing how visual, functional, and action features organize object knowledge in semantic memory. Findings show feature frequency impacts object processing speed.

Keywords:
Semantic normsfeaturesmanipulable objectssemantic similaritywithin-category

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Semantics

Background:

  • Semantic memory organization is crucial for understanding object representation.
  • Existing semantic norms often lack fine-grained detail within specific object categories.
  • Manipulable objects represent a key category for studying within-category processing.

Purpose of the Study:

  • To develop a fine-grained feature database specifically for manipulable objects.
  • To investigate the role of visual, functional, encyclopedic, and action features in object representation.
  • To provide a resource for understanding content-specific semantic processing.

Main Methods:

  • Collected feature generation data from 130 participants for 80 manipulable objects.
  • Gathered action feature data from 32 additional participants for the same objects.
  • Utilized correlation analyses (Spearman, Baker's gamma, cophenetic) to assess object similarity based on feature types.

Main Results:

  • The new database showed high similarity to existing semantic norms.
  • Objects were meaningfully grouped based on visual, functional, encyclopedic, and action features.
  • Feature verification experiments confirmed database validity, with faster recognition for high-frequency features.

Conclusions:

  • The developed database offers insights into the structure of knowledge about manipulable objects.
  • Feature type significantly influences how objects are conceptually grouped and processed.
  • Findings support cognitive and neural theories of object identification and processing.