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.

该项目将探索能够支持创意数字电影制作的人工智能方法，这是一种极其丰富的新表达和交流形式。数字电影制作最容易理解的变体是“machinima”——通过在 3D 电脑游戏世界中操纵化身来制作的电影。由于廉价、快速、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便利性，machinima 已成长为创意表达和共享的主流形式。然而，machinima 的进入门槛很高。这部分是由于技术工具便宜且容易获得；数字电影制作对技能门槛也有很高的要求。一般来说，创造力是协作性的，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、自主创建和批评数字媒体来参与创意实践的反馈循环。这项研究的目标是减少电影制作等复杂但丰富的数字表达形式的技术和技能障碍，从而提高业余创作者的创作生产力。其方法是开发数字媒体制作工具，这些工具灌输了创意实践的计算模型和实证研究提供的直观界面。预期的结果是更好地理解涉及反馈和批评的创意过程、创意制品的人类接受者的认知和情感过程模型，以及对涉及智能参与系统的界面模式的权衡的理解。该项目围绕两个相互关联的主要主旨进行组织：（1）开发反馈和批评的认知和计算模型，作为参与创造性活动的智能系统的手段； （2）研究业余和专业数字电影制作人的创造力如何受到制作界面的影响，包括（a）电影控制的约束程度和（b）智能参与支持模式。预计由此产生的模型和实现将作为业余数字电影制作和 machinima 社区采用的下一代创意支持工具。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进入门槛的技术。特别是，降低机械制造的门槛，将为历史上在计算机领域代表性不足的用户群体（例如女性）开放这种做法，她们喜欢讲故事，但往往因高技术性的“黑客”技能而望而却步。作为一种表达形式，数字电影制作是一种强大的交流媒介，可以用作计算的吸引力，并且可以集成到包括娱乐和教育在内的广泛活动中。 由此产生的模型和实现也可能会影响电影和电视行业中日益增长的视觉预览实践。该方法将产生一个将智能创意辅助融入其他形式的表达数字媒体的模型。