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

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.