Game Map Analytics – Developing Effective and Engaging Analytics
Topics: Game Analytics, mapping data, guidelines
Supervision: Claire Dormann, Günter Wallner, opens an external URL in a new window
Contact: firstname.lastname@example.org email@example.com
Type: BSc Practicum, BSc Thesis, MSc Practicum
Map-based analytics aim to reveal interesting patterns that would not be as effectively or efficiently portrayed using other approaches. The use of maps to visualize game analytics is very limited, in term of players data, and especially in term of formats used. In contrast, map-based data analytics use a multiplicity of formats, each one being better at representing some types of data. Examples include choropleth map, time space distribution map, or three-dimensional rectangular map. Moreover, looking at these analytics also show other limitations of game map analytics: they are seldom layered, annotated, animated or interactive. Last, but not least game map analytics are rarely considered in term of engagement.
Thus, in this project / thesis, after surveying briefly the use of game map analytics, and data maps, you will develop two case studies centred on different categories of players data. For your selected game analytics, you will experiment and produce different design solutions, annotating their strengths and weaknesses. After some preliminary evaluation, two designs would be implemented more fully for each case. To strengthen their effectiveness, dimensions related to overlays, animations, etc., should be integrated to enhance the map functions. Finally, resulting game map analytics will be evaluated by users. The goal of the project is to advance knowledge about game analytics, and produce guidelines that will help game developers.