Visualization in Motion in Video Games for Different Types of Data
Federica Bucchieri, Lijie Yao, Petra Isenberg

TL;DR
This paper analyzes how moving visualizations in video games impact data readability and player performance, focusing on quantitative and categorical data representations through a systematic review of existing visualizations.
Contribution
It provides a systematic analysis of motion in visualizations within video games, highlighting how motion influences readability and player interaction.
Findings
Motion affects visualization readability and player performance.
Patterns identified in how visualizations exhibit motion.
Guidelines for designing effective moving visualizations in games.
Abstract
We contribute an analysis of situated visualizations in motion in video games for different types of data, with a focus on quantitative and categorical data representations. Video games convey a lot of data to players, to help them succeed in the game. These visualizations frequently move across the screen due to camera changes or because the game elements themselves move. Our ultimate goal is to understand how motion factors affect visualization readability in video games and subsequently the players' performance in the game. We started our work by surveying the characteristics of how motion currently influences which kind of data representations in video games. We conducted a systematic review of 160 visualizations in motion in video games and extracted patterns and considerations regarding was what, and how visualizations currently exhibit motion factors in video games.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics · Artificial Intelligence in Games · Multimedia Communication and Technology
