Günter Wallner, Letian Wang, Claire Dormann,
"Visualizing the Spatio-Temporal Evolution of Gameplay using Storyline Visualization: A Study with League of Legends"
, in Jeffrey Nichols, in Proceedings of the ACM Human Computer Interaction, Vol. 7, Nummer CHI PLAY, Assoc. for Computing Machinery, Seite(n) 1002-1024, 11-2023
Original Titel:
Visualizing the Spatio-Temporal Evolution of Gameplay using Storyline Visualization: A Study with League of Legends
Sprache des Titels:
Englisch
Original Kurzfassung:
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.
Forschungs-