ChatGPT - The Future of Queer Play?

Authors

  • Lucas Fellner

Keywords:

chatgpt, queer play, queer game design, artificial intelligence, subversive play, llm

Abstract

Can Large Language Models provide new ways of playing? This paper examines ChatGPT as an avenue to explore new playgrounds for queer play — player behavior which subverts game systems and objectives to meet queer desires. Categorizing queer play into two distinct natures — invasive and non-invasive, the study delves into how queer gamers have ingeniously reacted to heteronormative game systems. In response to this tension, the paper investigates: Are Large Language Models able to solve the conflict between restrictive game structures and queer player desires? To assess the performance of ChatGPT as a facilitator of queer play, I developed a game prototype where players engaged in open dialogues with NPCs linked to ChatGPT. Players completed a short questionnaire. The findings show that ChatGPT can indeed facilitate queer play. Moreover, players engaging in queer play experienced a greater sense of autonomy. Queer play, however, did not heavily affect the overall player experience. Finally, the paper calls for an embrace of Large Language Models as a promising tool to queer games and encourage queer play.

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Published

2024-09-30

Bibtex

@Conference{digra2214, title ="ChatGPT - The Future of Queer Play?", year = "2024", author = "Fellner, Lucas", publisher = "DiGRA", address = "Tampere", howpublished = "\url{https://dl.digra.org/index.php/dl/article/view/2214}", booktitle = " Conference Proceedings of DiGRA 2024 Conference: Playgrounds"}