Literature DB >> 22392715

Toward Visualization for Games: Theory, Design Space, and Patterns.

Brian Bowman1, Niklas Elmqvist, T J Jankun-Kelly.   

Abstract

Electronic games are starting to incorporate in-game telemetry that collects data about player, team, and community performance on a massive scale, and as data begins to accumulate, so does the demand for effectively analyzing this data. In this paper, we use examples from both old and new games of different genres to explore the theory and design space of visualization for games. Drawing on these examples, we define a design space for this novel research topic and use it to formulate design patterns for how to best apply visualization technology to games. We then discuss the implications that this new framework will potentially have on the design and development of game and visualization technology in the future.

Year:  2012        PMID: 22392715     DOI: 10.1109/TVCG.2012.77

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  1 in total

1.  "Because I'm Bad at the Game!" A Microanalytic Study of Self Regulated Learning in League of Legends.

Authors:  Erica Kleinman; Christian Gayle; Magy Seif El-Nasr
Journal:  Front Psychol       Date:  2021-12-02
  1 in total

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