Frans Rijnders, Günter Wallner, Regina Bernhaupt,
"Live Feedback for Training Through Real-Time Data Visualizations: A Study with League of Legends"
, in ACM Digital Library, in Proceedings of the ACM on Human-Computer Interaction, Nummer 243, 2022, ISSN: 2573-0142
Live Feedback for Training Through Real-Time Data Visualizations: A Study with League of Legends
Sprache des Titels:
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.
Sprache der Kurzfassung:
Proceedings of the ACM on Human-Computer Interaction