@article{wallnerVisualizingSpatioTemporalEvolution2023,
	title = {Visualizing the {Spatio}-{Temporal} {Evolution} of {Gameplay} using {Storyline} {Visualization}: {A} {Study} with {League} of {Legends}},
	volume = {7},
	issn = {2573-0142},
	shorttitle = {Visualizing the {Spatio}-{Temporal} {Evolution} of {Gameplay} using {Storyline} {Visualization}},
	url = {https://dl.acm.org/doi/10.1145/3611058},
	doi = {10.1145/3611058},
	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.},
	language = {en},
	number = {CHI PLAY},
	urldate = {2025-08-21},
	journal = {Proceedings of the ACM on Human-Computer Interaction},
	author = {Wallner, Günter and Wang, Letian and Dormann, Claire},
	month = sep,
	year = {2023},
	keywords = {Data Visualization, Shashvat, notion},
	pages = {1002--1024},
}

{"_id":"3AK6SgSRJ3wvn4P6u","bibbaseid":"wallner-wang-dormann-visualizingthespatiotemporalevolutionofgameplayusingstorylinevisualizationastudywithleagueoflegends-2023","author_short":["Wallner, G.","Wang, L.","Dormann, C."],"bibdata":{"bibtype":"article","type":"article","title":"Visualizing the Spatio-Temporal Evolution of Gameplay using Storyline Visualization: A Study with League of Legends","volume":"7","issn":"2573-0142","shorttitle":"Visualizing the Spatio-Temporal Evolution of Gameplay using Storyline Visualization","url":"https://dl.acm.org/doi/10.1145/3611058","doi":"10.1145/3611058","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.","language":"en","number":"CHI PLAY","urldate":"2025-08-21","journal":"Proceedings of the ACM on Human-Computer Interaction","author":[{"propositions":[],"lastnames":["Wallner"],"firstnames":["Günter"],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Letian"],"suffixes":[]},{"propositions":[],"lastnames":["Dormann"],"firstnames":["Claire"],"suffixes":[]}],"month":"September","year":"2023","keywords":"Data Visualization, Shashvat, notion","pages":"1002–1024","bibtex":"@article{wallnerVisualizingSpatioTemporalEvolution2023,\n\ttitle = {Visualizing the {Spatio}-{Temporal} {Evolution} of {Gameplay} using {Storyline} {Visualization}: {A} {Study} with {League} of {Legends}},\n\tvolume = {7},\n\tissn = {2573-0142},\n\tshorttitle = {Visualizing the {Spatio}-{Temporal} {Evolution} of {Gameplay} using {Storyline} {Visualization}},\n\turl = {https://dl.acm.org/doi/10.1145/3611058},\n\tdoi = {10.1145/3611058},\n\tabstract = {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.},\n\tlanguage = {en},\n\tnumber = {CHI PLAY},\n\turldate = {2025-08-21},\n\tjournal = {Proceedings of the ACM on Human-Computer Interaction},\n\tauthor = {Wallner, Günter and Wang, Letian and Dormann, Claire},\n\tmonth = sep,\n\tyear = {2023},\n\tkeywords = {Data Visualization, Shashvat, notion},\n\tpages = {1002--1024},\n}\n\n\n\n","author_short":["Wallner, G.","Wang, L.","Dormann, C."],"key":"wallnerVisualizingSpatioTemporalEvolution2023","id":"wallnerVisualizingSpatioTemporalEvolution2023","bibbaseid":"wallner-wang-dormann-visualizingthespatiotemporalevolutionofgameplayusingstorylinevisualizationastudywithleagueoflegends-2023","role":"author","urls":{"Paper":"https://dl.acm.org/doi/10.1145/3611058"},"keyword":["Data Visualization","Shashvat","notion"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero-group/luca_g97/6123470","dataSources":["bgznkc5YqZw84ZmrX","sWPeF2s6JfXrQXbmz"],"keywords":["data visualization","shashvat","notion"],"search_terms":["visualizing","spatio","temporal","evolution","gameplay","using","storyline","visualization","study","league","legends","wallner","wang","dormann"],"title":"Visualizing the Spatio-Temporal Evolution of Gameplay using Storyline Visualization: A Study with League of Legends","year":2023}