Towards generating textual game assets from real-world data

Abstract

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.

Andromeda: A Personalised Crisis Management Training Toolkit

“…If accurate models of trainee stress responses are implemented, they may be employed by Andromeda in order to automate the personalisation of training sessions. Within the scope of the Data2Game project, parralel studies such as [16] focus on creating generating textual game assets for serious games in the crisis response field.…”