Analysis of game data is used to study player behavior. For puzzle based games where solutions are usually defined by their action sequences, player behavior can also be studied by their solution complexity. This poster present a visualization system to facilitate the research of how actions, timing, and strategy adjustments change with solution complexity. Multifaceted behavioral patterns of different players are found through the system. The tool is expected to be useful in assisting game stage design and player cohort analysis.
|Status||Gepubliceerd - 12 nov 2019|
|Evenement||Data Science Summit 2019: The Annual Data Science Summit Eindhoven, organized by TU/e - DSCE - Frits Philips Muziekgebouw, Eindhoven, Nederland|
Duur: 12 nov 2019 → 12 nov 2019
|Seminarie||Data Science Summit 2019|
|Periode||12/11/19 → 12/11/19|