Skip to Main content Skip to Navigation
Conference papers

Visualization in Motion in Video Games for Different Types of Data

Federica Bucchieri 1 Lijie Yao 1 Petra Isenberg 1 
1 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France, LISN - Laboratoire Interdisciplinaire des Sciences du Numérique, IaH - Interaction avec l'Humain
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.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-03700418
Contributor : lijie yao Connect in order to contact the contributor
Submitted on : Tuesday, June 21, 2022 - 11:45:17 AM
Last modification on : Friday, August 5, 2022 - 9:27:33 AM
Long-term archiving on: : Thursday, September 22, 2022 - 6:58:49 PM

File

2022_Journ__Visu___Visualisati...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03700418, version 1

Citation

Federica Bucchieri, Lijie Yao, Petra Isenberg. Visualization in Motion in Video Games for Different Types of Data. Journée Visu 2022, Jun 2022, Bordeaux, France. ⟨hal-03700418⟩

Share

Metrics

Record views

63

Files downloads

18