A System for Statistical Contextual Structure of Representation for Game Studies

Abstract

Several theoretical frameworks and structures have been proposed to contribute to the field of game studies or game design. Despite providing some guidance, they lack methods or processes of data manipulation to provide additional information in order to compose a knowledge base and further improve the field. This paper presents a system focused on distributed data gathering, introducing a structure that relies on the theoretical game design frameworks and theories of both the communication and structuralism fields. The structure was designed focusing on mathematical validity based on set and fuzzy set theories, and organized according to theories of illocutionary logic in terms of meaning. The system proposed provides methods to statistically quantify qualitative data and perform operations in order to gather information for applications in game design processes, game design education, game studies research, and several related fields.

Keywords

• Educational technology
• fuzzy sets
• distributed systems
• big data applications
• data collection
• human factors