GameVis: Game Data Visualization for the Web
Victor R. M. Feitosa, José Gilvan Rodrigues Maia, Leonardo O. Moreira, George Allan Menezes Gomes · 2015
Gaming and eSports have become increasingly popular and complex. For that reason, it is necessary that tournament hosts and game developers provide a great amount of meaningful information for their audiences. Data visualization tools and frameworks are of upmost importance since these provides means to accomplish this task. In this paper we propose GameVis, a framework designed to aid developers in building game data visualization components for the Web. GameVis allows multiple data formats to be translated into a single data structure that can be extended and customized in many ways, allowing visualizations to suit different screen sizes and platforms while showing a great amount of variation and meaning. Visualizations built within the framework may feature animations, annotations and might even adapt to different visual themes in order to provide a richer, more interactive user experience. This is shown through experimental results.