CAREER: Automated Support for Novice Authorning of Interactive Drama

职业:对互动戏剧新手创作的自动化支持

基本信息

  • 批准号:
    0747522
  • 负责人:
  • 金额:
    $ 50万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-04-15 至 2015-03-31
  • 项目状态:
    已结题

项目摘要

The goal of this project is to enable novices (non-programmers and non-expert storytellers) to create interactive dramas (IDs), artificial intelligence (AI) based interactive story experiences with autonomous characters and dynamic plot progression. Accomplishing this goal requires answering the following research question: how can one incorporate storytelling and character creation theories from the theory of dramatic writing, as well as theories of storyboard layout from comics, into an AI model of story generation and character creation that collaborates with a human author to create an ID. Most research work in ID has focused on individual components, such as autonomous character architectures or story managers/generators, not on fully integrated systems with engaging content. This is primarily due to the difficulty of authoring; creating IDs currently requires large, interdisciplinary teams of AI researchers, story authors and domain experts. This project will address the authoring problem by combining novel work in story generation, novel work in visual interfaces for programming, and authoring insights from the only publicly fielded, complete ID (Facade).Enabling novice authoring of ID will have significant impact: as a new and powerful mode of personal expression, in applications of ID technology to education and training, and for engaging middle school and high-school students in computational expression. Unlike traditional videogames, ID focuses on interpersonal interaction, enabling rich and powerful game-like experiences that focus on meaningful social interaction with autonomous characters within a dynamically generated, changing story. Such technology is essential for serious games (games for education and training) that focus on people-to-people interaction, such as management training, and public service games that tackle complex topics such as racism. Currently, the construction of IDs requires teams of experts, putting them out of reach of individuals and organizations who are not technology and game design experts, but who wish to harness this powerful new medium. The goal of the project is to take the construction of ID out of the hands of experts, and make it available to everyone.
该项目的目标是使新手(非程序员和非专业讲故事者)能够创造互动戏剧(ID),基于人工智能(AI)的自主角色和动态情节进展的互动故事体验。实现这一目标需要回答以下研究问题:如何将戏剧写作理论中的讲故事和角色创造理论,以及漫画中的故事板布局理论,整合到与人类作者合作创建ID的故事生成和角色创建的人工智能模型中。ID中的大多数研究工作都集中在单个组件上,如自主角色架构或故事管理器/生成器,而不是具有引人入胜内容的完全集成的系统。这主要是由于创作的困难;创建ID目前需要由人工智能研究人员、故事作者和领域专家组成的大型跨学科团队。这个项目将通过结合故事生成中的新奇作品、用于编程的可视界面中的新奇作品以及从唯一公开的、完整的ID(外观)中创作洞察力来解决创作问题。启用ID的新手创作将具有重大影响:作为一种新的强大的个人表达方式,在将ID技术应用于教育和培训以及吸引初中生和高中生参与计算表达方面。与传统视频游戏不同,ID专注于人际互动,提供丰富而强大的游戏式体验,专注于在动态生成的、不断变化的故事中与自主角色进行有意义的社交互动。这种技术对于专注于人与人之间互动的严肃游戏(教育和培训游戏),如管理培训,以及解决种族主义等复杂主题的公共服务游戏来说,是必不可少的。目前,ID的建设需要专家团队,使他们远离个人和组织,他们不是技术和游戏设计专家,但希望利用这一强大的新媒介。该项目的目标是将ID的构建从专家手中转移到每个人手中,并使其可用于每个人。

项目成果

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Michael Mateas其他文献

Modeling Player Retention in Madden NFL 11
在《Madden NFL 11》中模拟球员保留率
Engineering ethnography in the home
家庭工程民族志
  • DOI:
  • 发表时间:
    1996
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Michael Mateas;T. Salvador;J. Scholtz;D. Sorensen
  • 通讯作者:
    D. Sorensen
Characters Who Speak Their Minds: Dialogue Generation in Talk of the Town
畅所欲言的人物:城中之谈中的对话生成
Applying Goal-Driven Autonomy to StarCraft
将目标驱动的自治应用于星际争霸
Presence and engagement in an interactive drama
参与互动戏剧

Michael Mateas的其他文献

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{{ truncateString('Michael Mateas', 18)}}的其他基金

CHS: Medium: Collaborative Research: Responsive Generation of Intrinsically Motivating Scenarios
CHS:媒介:协作研究:响应式生成内在激励场景
  • 批准号:
    1409992
  • 财政年份:
    2014
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
EAGER: Toward Automatic Generation of Challenge-Driven Interactive Narratives
EAGER:自动生成挑战驱动的互动叙事
  • 批准号:
    1258305
  • 财政年份:
    2012
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
EAGER: Creative Synthesis of Interactive Artifacts through Computational Knowledge Building
EAGER:通过计算知识构建创造性地合成交互式制品
  • 批准号:
    1048385
  • 财政年份:
    2010
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
SGER Collaborative Research: Persistent, Adaptive, Collaborative Synthespians
SGER 协作研究:持久的、适应性的、协作的综合者
  • 批准号:
    0749316
  • 财政年份:
    2007
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
Collaborative Research: Closing the Affective Gap
合作研究:缩小情感差距
  • 批准号:
    0752684
  • 财政年份:
    2007
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
Collaborative Research: Closing the Affective Gap
合作研究:缩小情感差距
  • 批准号:
    0534355
  • 财政年份:
    2006
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant

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