On the role of working memory in trading-off skills and situation awareness in Sudoku
This work addresses a theoretical gap in cognition and neuroscience with practical implications for safety-critical domains, but it appears incremental as it applies existing agent-based methods to a new context.
The paper investigates the trade-off between situation awareness and skill processing in Sudoku, using a society of agents to analyze how this interplay affects player proficiency, though no concrete numerical results are provided.
Working memory accounts for the ability of humans to perform cognitive processing, by handling both the representation of information (the mental picture forming the situation awareness) and the space required for processing these information (skill processing). The more complex the skills are, the more processing space they require, the less space becomes available for storage of information. This interplay between situation awareness and skills is critical in many applications. Theoretically, it is less understood in cognition and neuroscience. In the meantime, and practically, it is vital when analysing the mental processes involved in safety-critical domains. In this paper, we use the Sudoku game as a vehicle to study this trade-off. This game combines two features that are present during a user interaction with a software in many safety critical domains: scanning for information and processing of information. We use a society of agents for investigating how this trade-off influences player's proficiency.