Affiliation:
1. JKU Linz, Linz, Austria
Abstract
Players increasingly adopt a data-driven approach to review and improve their gaming skills. In the wake of this, spatio-temporal visualizations gained popularity but remain challenging to design. Storyline visualizations are unique in the way they integrate time and location information into a single view to show how entity relationships develop over time. We adopt the storyline visualization technique to summarize gameplay for the purpose of post-play review. We demonstrate the method by applying it to League of Legends matches and evaluated it with 39 players of the game in a task-based online study using the triad framework for spatio-temporal queries by Peuquet. Results indicate that players responded positively to the approach and could, by and large, solve tasks well but that time-based tasks proved most challenging and least efficient to solve. Based on our findings, we reflect on possibilities for enhancing the design of storyline visualizations for game-related data analysis.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)
Cited by
2 articles.
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1. A Feature Comparison Study of Live Companion Tools for Esports Games;Proceedings of the 19th International Conference on the Foundations of Digital Games;2024-05-21
2. Characterizing and Quantifying Expert Input Behavior in League of Legends;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11