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Generative conversation tool for game writers

Published: 26 April 2009 Publication History

Abstract

Conversation is an important part of many games, whether it is there to provide information or entertainment. In the current state of commercial game development, almost all conversation is hand-authored. Further, different authoring approaches are used for conversations between non-player characters (typically linear scripting) versus conversations between a non-player character and a human player (typically dialogue trees). In this paper, we present a tool, designed in collaboration with Telltale Games, for creating cocktail party conversations in which characters engage in free-flowing conversations. From an authorial perspective, we start at the hand-authoring side of the spectrum and add system-level support for conversation generation -- our aim is to decrease the authorial burden of creating a conversation while remaining close to existing methods the company's designers are familiar with using.

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FDG '09: Proceedings of the 4th International Conference on Foundations of Digital Games
April 2009
386 pages
ISBN:9781605584379
DOI:10.1145/1536513
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • SASDG: The Society for the Advancement of the Science of Digital Games

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2009

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Author Tags

  1. authoring tools
  2. dialogue generation
  3. game development

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  • Research-article

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FDG '09
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  • SASDG

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Overall Acceptance Rate 152 of 415 submissions, 37%

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