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Expertise-dependent mental representation in chess: evaluation and comparisons based on structural dimensional

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Summary

Chess players

Keywords:
chess expertiselong-term memorymental representationstructural dimension analysis of mental representationtask-related concept

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Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction

Background:

  • Knowledge accessibility in long-term memory (LTM) is crucial for human behavior.
  • Traditional and modern methods exist to study LTM functioning.
  • Structural Dimensional Analysis-Motoric (SDAM) is an emerging digitalized research technique.

Purpose of the Study:

  • To investigate how chess players incorporate strategy-related patterns into their LTM.
  • To examine the influence of expertise level (novice, intermediate, expert) on LTM incorporation of chess motifs.

Main Methods:

  • Utilized Structural Dimensional Analysis-Motoric (SDAM) to analyze participants' conceptual closeness preferences.
  • Assessed LTM incorporation of standardized chess motifs based on player expertise.

Main Results:

  • Found significant similarity in LTM incorporation between expert and intermediate chess players.
  • No significant differences were observed when comparing novices to intermediate or expert players.

Conclusions:

  • Expert and intermediate chess players demonstrate similar LTM organization of strategy-related patterns.
  • Further research should explore diverse patterns and increase task-related concept difficulty.
  • Findings can inform the development of augmented feedback and virtual player systems.