# Open Player Modeling: Empowering Players through Data Transparency

arXiv: https://arxiv.org/abs/2110.05810 · HTML: https://mlsanity.com/paper/2110.05810/

## 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 (most cited first, 13 of 13)

- [Explanation in Artificial Intelligence: Insights from the Social Sciences](https://mlsanity.com/paper/1706.07269/) (2017)
- [The Ethics of AI Ethics -- An Evaluation of Guidelines](https://mlsanity.com/paper/1903.03425/) (2019)
- [A Comparison of Methods for Player Clustering via Behavioral Telemetry](https://mlsanity.com/paper/1407.3950/) (2014)
- [A Machine-Learning Item Recommendation System for Video Games](https://mlsanity.com/paper/1806.04900/) (2018)
- [Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games](https://mlsanity.com/paper/1806.09771/) (2018)
- [Tracing Player Knowledge in a Parallel Programming Educational Game](https://mlsanity.com/paper/1908.05632/) (2019)
- [The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games](https://mlsanity.com/paper/1806.10130/) (2018)
- ["And then they died": Using Action Sequences for Data Driven,Context Aware Gameplay Analysis](https://mlsanity.com/paper/2006.10823/) (2020)
- [Player-Centered AI for Automatic Game Personalization: Open Problems](https://mlsanity.com/paper/2102.07548/) (2021)
- [Understanding Learners' Problem-Solving Strategies in Concurrent and Parallel Programming: A Game-Based Approach](https://mlsanity.com/paper/2005.04789/) (2020)
- [Reflection in Game-Based Learning: A Survey of Programming Games](https://mlsanity.com/paper/2006.10793/) (2020)
- [Modeling Individual and Team Behavior through Spatio-temporal Analysis](https://mlsanity.com/paper/2006.11199/) (2020)
- [Glyph: Visualization Tool for Understanding Problem Solving Strategies in Puzzle Games](https://mlsanity.com/paper/2106.13742/) (2021)

## Built on by (most cited first, 3 of 3)

- [Affective Game Computing: A Survey](https://mlsanity.com/paper/2309.14104/) (2023)
- [The Ethics of AI in Games](https://mlsanity.com/paper/2305.07392/) (2023)
- [AI for Games in the Foundation Model Era](https://mlsanity.com/paper/2609.16679/) (2026)

## 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.