"Trust the Process": An Exploratory Study of Process Visualizations for Self-Reflection in League of Legends

Self-reflection, a process consisting of evaluation, attribution, and adaptation, is recognized as key to learning in esports games. To better facilitate self-reflection, many games and third-party tools feature retrospective visualizations that provide players with details about their performance. However, previous work suggested that existing visualizations, which typically aggregate data, do not present sufficient information to players. In this work, we explore the impact of process visualizations, which present gameplay as a sequence of actions, on self-reflection and performance in a League of Legends training exercise through a mixed-methods study. Our results found that players who reflected using a process visualization significantly improved their performance and demonstrated significant differences in how they evaluated themselves compared to those who reflected using an aggregate visualization. We discuss what these results mean in relation to self-reflection and learning in esports and how they impact the future use of process visualizations in games.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2024-10-14
DOI
https://doi.org/10.1145/3677111
Citations
2
Primary Topic
Digital Games and Media
Type
article
Field-Weighted Citation Impact
2.26
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article

"Trust the Process": An Exploratory Study of Process Visualizations for Self-Reflection in League of Legends

Erica Kleinman, Jason Xu, Magy Seif El‐Nasr, Johannes Pfau
2 citations
Proceedings of the ACM on Human-Computer Interaction
Digital Games and Media
2.26
article

"Trust the Process": An Exploratory Study of Process Visualizations for Self-Reflection in League of Legends

Erica Kleinman, Jason Xu, Magy Seif El‐Nasr, Johannes Pfau
article en
2 citations

Abstract

Self-reflection, a process consisting of evaluation, attribution, and adaptation, is recognized as key to learning in esports games. To better facilitate self-reflection, many games and third-party tools feature retrospective visualizations that provide players with details about their performance. However, previous work suggested that existing visualizations, which typically aggregate data, do not present sufficient information to players. In this work, we explore the impact of process visualizations, which present gameplay as a sequence of actions, on self-reflection and performance in a League of Legends training exercise through a mixed-methods study. Our results found that players who reflected using a process visualization significantly improved their performance and demonstrated significant differences in how they evaluated themselves compared to those who reflected using an aggregate visualization. We discuss what these results mean in relation to self-reflection and learning in esports and how they impact the future use of process visualizations in games.

Proceedings of the ACM on Human-Computer InteractionVol. 8(CHI PLAY)
Northeastern University (US), University of California, Santa Cruz (US), Utrecht University (NL)
Openalex Percentile: Top 10%
Digital Games and Media
2.26
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