Live Feedback for Training Through Real-Time Data Visualizations: A Study with League of Legends-Reference-Cited by-同舟云学术

Live Feedback for Training Through Real-Time Data Visualizations: A Study with League of Legends

Published:2022-10-25 Issue:CHI PLAY Volume:6 Page:1-23
ISSN:2573-0142
Container-title:Proceedings of the ACM on Human-Computer Interaction
language:en
Short-container-title:Proc. ACM Hum.-Comput. Interact.

Author:

Rijnders Frans¹,Wallner Günter²,Bernhaupt Regina³

Affiliation:

1. Eindhoven University of Technology, Eindhoven, Netherlands

2. Johannes Kepler University Linz & Eindhoven Technical University, Linz, Austria

3. Eindhoven Technical University, Eindhoven, Netherlands

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Link

https://dl.acm.org/doi/pdf/10.1145/3549506

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