Towards generating textual game assets from real-world data

We propose using real-world datasets to generate textual game assets for serious games. As an example, we used a dataset of P2000 crisis event messages to generate descriptive texts that can be transformed into new game assets by game writers, thereby reducing the writing effort required during the development phase of an adaptive serious game. In this paper we describe this first attempt and we discuss the challenges and possibilities of using open data for textual asset generation