Abstract
With competitive gaming on the rise, players have developed an increased interest in data-driven feedback of their in-game performance. In many cases, this feedback is presented visually post-play but live companions that provide real-time analytics are gaining more and more attention. However, the design of such systems poses different requirements which have been little explored from a scholarly point of view.
In this paper, we report on a study of two visualizations - a physical and digital one - providing live feedback to League of Legends players designed based on a community survey (N= 175) and expert input. We further discuss results of a qualitative evaluation with 13 players and an expert, touch upon potential benefits and drawbacks of physical and digital implementations, and present derived design considerations and challenges for such real-time data visualizations, revolving around issues of information density, contextualization, representation, and a diverse range of user needs.
| Original language | English |
|---|---|
| Article number | 243 |
| Number of pages | 23 |
| Journal | Proceedings of the ACM on Human-Computer Interaction |
| Volume | 6 |
| Issue number | 243 |
| DOIs | |
| Publication status | Published - 29 Oct 2022 |
Fields of science
- 102 Computer Sciences
- 102003 Image processing
- 102008 Computer graphics
- 102015 Information systems
- 102020 Medical informatics
- 103021 Optics
JKU Focus areas
- Digital Transformation