Expertise-dependent mental representation in chess:. Evaluation and comparisons based on structural dimensional analysis-motoric

Thomas Küchelmann^*Konstantinos VelentzasChristian SchützThomas Schack

• Bielefeld University, Bielefeld, Germany

Research findings underline that human behavior and decisive action significantly depend on knowledge accessibility in long-term memory (LTM). For this purpose, various methods have been conducted and applied to help researchers gain insights into LTM functioning. These methods are based on traditional low-cost instruments (e.g., think-aloud protocols, memory protocols, questionnaires, a. o. ) as well as modern high-cost technologies. Furthermore, an emerging method that evolves traditional research techniques in a digitalized environment is Structural Dimensional Analysis-Motoric. This analysis is based on participants' preferences regarding the closeness of given task-related concepts (TRCs) during a sorting process. From this perspective, chess is a highly cognitive domain involving an immense amount of specific knowledge—a reason it became a prominent field in cognitive research. The present study aims to examine how strategy-related patterns (meaningful and interconnected standardized chess motifs) are incorporated into the LTM of chess players, depending on their expertise (novices, intermediates, and high-level players). The analysis shows a significant similarity between experts and intermediate chess players but no significant results for the comparisons between experts and intermediates to novices. Researchers should make efforts to expand mental representation research in chess, for example, by manipulating a variety of strategy-related patterns (e.g., critical openings, middle games, and endgame situations) and/or enhancing the difficulty of the task-related conceptTRCs. The results can be applied to the further development of augmented feedback (e.g., assistive training systems) and virtual players (platforms).