Open Player Modeling: Empowering Players through Data Transparency
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Abstract (arXiv)
Data is becoming an important central point for making design decisions for most software. Game development is not an exception. As data-driven methods and systems start to populate these environments, a good question is: can we make models developed from this data transparent to users? In this paper, we synthesize existing work from the Intelligent User Interface and Learning Science research communities, where they started to investigate the potential of making such data and models available to users. We then present a new area exploring this question, which we call Open Player Modeling, as an emerging research area. We define the design space of Open Player Models and present exciting open problems that the games research community can explore. We conclude the paper with a case study and discuss the potential value of this approach.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 13 of its 63 references that are in the map. First posted on arXiv 12 Oct 2021.
Builds on
13 of 63 references.
References · 13
- 2017Explanation in Artificial Intelligence: Insights from the Social Sciencescited by 1,206
- 2019The Ethics of AI Ethics -- An Evaluation of Guidelinescited by 129
- 2014A Comparison of Methods for Player Clustering via Behavioral Telemetrycited by 6
- 2018A Machine-Learning Item Recommendation System for Video Gamescited by 5
- 2018Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Gamescited by 5
- 2019Tracing Player Knowledge in a Parallel Programming Educational Gamecited by 5
- 2018The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Gamescited by 4
- 2020"And then they died": Using Action Sequences for Data Driven,Context Aware Gameplay Analysiscited by 3
- 2021Player-Centered AI for Automatic Game Personalization: Open Problemscited by 3
- 2020Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approachcited by 1
- 2020Reflection in Game-Based Learning: A Survey of Programming Gamescited by 1
- 2020Modeling Individual and Team Behavior through Spatio-temporal Analysiscited by 1
Built on by
Citing papers per year: 2023: 2; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2023Affective Game Computing: A Surveycited by 11
- 2023The Ethics of AI in Gamescited by 6
- 2026AI for Games in the Foundation Model Eracited by 3
- 2026AI for Games in the Foundation Model Era15 Sep 2026
- 2023Affective Game Computing: A Survey25 Sep 2023
- 2023The Ethics of AI in Games12 May 2023