AI-Assisted Authorship

Abstract: Writing is a notoriously time-consuming and challenging activity that is difficult to avoid during the development of a game, and the steady increase in complexity behind producing games is putting pressure on the industry to cut unnecessary costs and streamline processes. With recent breakthroughs in Neural Network research the capabilities of causal language models like the GPT models made by OpenAI have reached a level where they could be used to assist with creative assignments that previously only could be done to an acceptable level of quality by a human writer. This paper aims to combine the power of a language model with the versatility and control of the Mixed-Initiative Co-Creation approach. In order to limit the scope of the artifact to a manageable size the focus will be to generate a shorter biography with backstory for characters and items in a level made in the Evolutionary Dungeon Designer by Alvarez et al. The artifact was evaluated with a user study in which both quantitative ratings and qualitative feedback was collected. The results suggest that the artifact has potential as it has the ability to generate compelling narratives and users attested that it had a positive effect on their work.