MAJOR: Assistive Artificial Intelligence to Support Creative Filmmaking in Computer Animation

专业：辅助人工智能支持计算机动画中的创意电影制作

• 批准号: 1002748
• 负责人: Mark Riedl
• 金额: $ 69.55万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1002748&HistoricalAwards=false
• 关键词: MAJOR; Assistive; Artificial; Intelligence; Support

This project will explore approaches to artificial intelligence that can support creative digital filmmaking, an extremely rich new form of expression and communication. The most accessible variant of digital filmmaking is "machinima" - cinematic movies created by manipulating avatars in 3D computer game worlds. Due to the allure of cheap, quick, and easy movie making, and the accessibility of high-fidelity graphics through video games technologies, machinima has grown into a mainstream form of creative expression and sharing. However, machinima has a high threshold of entry. This is due only partly to technical tools, which are cheap and easily acquired; digital filmmaking also has a high threshold of skill requirements. In general, creativity is collaborative, with creators often seeking feedback and critique from others. Intelligent systems can also participate in the feedback loop of creative practice by suggesting, autonomously creating, and critiquing digital media.The goal of this research is to reduce the technological and skill barriers to complex, but rich forms of digital expression such as filmmaking, thereby increasing the creative productivity of amateur creators. Its approach is to develop digital media production tools that are instilled with computational models of creative practice and intuitive interfaces informed by empirical studies. The anticipated result is a greater understanding of creative processes involving feedback and critique, models of cognitive and emotive processes in human recipients of creative artifacts, and understanding about the tradeoffs of interface modalities involving intelligent participatory systems. The project is organized around two major, interrelated thrusts: (1) develop cognitive and computational models of feedback and critique as a means toward intelligent systems that participate in creative endeavors; (2) study how the creative abilities of amateur and expert digital filmmakers are affected by production interfaces along dimensions of (a) degree of constraint in cinematic control and (b) modes of intelligent participatory support.It is anticipated that the resultant models and implementations will serve as next-generation creativity support tools to be adopted by the amateur digital filmmaking and machinima communities. By achieving its research goals, this project will demonstrate a technique for lowing the threshold of entry to a form of digital media creation. Lowering the threshold of machinima production, in particular, will open the practice to populations of users historically underrepresented in computing such as women, who are attracted to storytelling but often discouraged by highly technical "hacker" skills. As an expressive form, digital filmmaking is a powerful medium for communication, can be used as a draw to computing, and can be integrated into a wide repertoire of activities including entertainment and education. Resultant models and implementations may also impact the growing practice of previsualization in the movie and television industries. The approach will result in a model for incorporating intelligent creative assistance into other forms of expressive digital media.

该项目将探索人工智能的方法，以支持创意数字电影制作，这是一种非常丰富的表达和交流的新形式。数字电影制作中最容易理解的变体是“machinima”--通过操纵3D电脑游戏世界中的化身创作的电影。由于廉价、快速和简单的电影制作的吸引力，以及通过视频游戏技术获得高保真图形的可访问性，machinima已经成长为创意表达和分享的主流形式。然而，Machinima的进入门槛很高。这只是部分原因，因为技术工具便宜，容易获得;数字电影制作也有很高的技能要求门槛。一般来说，创造力是合作的，创作者经常寻求他人的反馈和批评。智能系统还可以通过建议、自主创作和批评数字媒体来参与创作实践的反馈回路。本研究的目标是减少技术和技能障碍，以实现复杂但丰富的数字表达形式，如电影制作，从而提高业余创作者的创作生产力。它的方法是开发数字媒体制作工具，这些工具被灌输了创造性实践的计算模型和由实证研究提供信息的直观界面。预期的结果是创造性的过程中，涉及反馈和批评，模型的认知和情感过程中的人类收件人的创造性的文物，并了解涉及智能参与系统的接口模式的权衡。该项目围绕两个主要的、相互关联的主旨组织：（1）开发反馈和批评的认知和计算模型，作为参与创造性努力的智能系统的一种手段;（2）研究业余和专业数字电影制作人的创作能力如何受到制作界面的影响，沿着维度（a）电影控制的约束程度和（B）智能参与式支持的模式。预计由此产生的模型和实现将作为下一代的创造力支持工具，由业余数字电影制作和machinima社区采用。通过实现其研究目标，该项目将展示一种降低数字媒体创作形式门槛的技术。特别是降低machinima制作的门槛，将使这种做法向历史上在计算领域代表性不足的用户群体开放，例如女性，她们喜欢讲故事，但往往对高度技术性的“黑客”技能感到沮丧。作为一种表现形式，数字电影制作是一种强大的交流媒介，可以用作计算机的吸引力，并且可以集成到包括娱乐和教育在内的广泛活动中。 结果模型和实现也可能影响电影和电视行业中不断增长的预视化实践。这种方法将产生一种模式，将智能创造性的援助纳入其他形式的表达数字媒体。