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Throwing Bottles at God: Predictive Text as a Game Mechanic in an AI-Based Narrative Game

  • Max Kreminski
  • Noah Wardrip-Fruin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11318)

Abstract

We present Throwing Bottles at God, an experimental interactive narrative game that makes use of a predictive text writing interface as both a game mechanic and a means by which to deliver narrative content. The player steps into the role of @dril, a well-known pseudonymous social media personality with a distinctive writing style, and authors short snippets of text while receiving suggestions from the game as to which word @dril might use next – suggestions supported by word pair frequency data extracted from the corpus of all existing tweets by the actual @dril. The game represents a first attempt to use AI-based game design to heighten the player’s awareness of AI algorithms, specifically predictive text algorithms, as they play a role in the player’s day-to-day life. It also blurs the line between player-authored and developer-authored narrative content by inviting players to freely mix snippets of developer-authored text into their own in-game social media posts as they compose them, resulting in player-assembled messages that embed sequences of words drawn both from an external corpus (the @dril corpus) and from developer-authored narrative content.

Keywords

Interactive narrative design AI-based game design 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.UC Santa CruzSanta CruzUSA

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