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Open Player Modeling: Empowering Players through Data Transparency

2021-10-12 08:11:39
Jichen Zhu, Magy Seif El-Nasr
arXiv_AI
   
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2110.05810

PDF

https://arxiv.org/pdf/2110.05810.pdf

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