Identifying Deficient Cognitive Functions Using Computer Games: A Pilot Study

Abstract

This paper presents the evaluation of a classical videogame for the assessment of people learning performance by identifying some deficient cognitive functions during matches. A pilot study was conducted to verify the feasibility to apply metrics to relate players behavior to deficient cognitive functions. We present a methodology where game data were collected from matches using the Game Learning Analytics (GLA) approach. Deficient cognitive functions were selected from Structural Cognitive Modifiability (SCM) theory. The obtained results at this pilot study pointed out to the feasibility of using established metrics in future work.