Improving HSL Recognition Skills with a Color Game

Abstract: Improving color matching skills requires a specifically designed interface as much as well-calculated feedback on the underlying color model. This thesis relates to the production of a game for learning HSL and elaborates on learning patterns with regard to hue and game progression. A quantification of learning based on performance variation is proposed. In an effort to balance data quantity and relevance, several variables of pure analysis interest are defined. Results on learning inhomogeneities are presented through Hue Learning Curves with streamgraphs and detailed bar charts. The consequences of design choices and gameplay on performance and learning are discussed.