Exploring the Uncanny Valley

探索恐怖谷

• 批准号: 0811450
• 负责人: Jessica Hodgins
• 金额: $ 35万
• 依托单位: Carnegie-Mellon University
• 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: 2008-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0811450&HistoricalAwards=false
• 关键词: Exploring; Uncanny; Valley

Exploring the Uncanny ValleyIn 1970, an eminent Japanese roboticist, Masahiro Mori, proposed the "uncanny valley" curve to describe the emotional response of humans to nonhuman agents. His hypothesis was that as an agent is made more humanlike, the observer's familiarity does not increase as one would intuit, but falls into a ``valley of eeriness,'' when the agent closely yet imperfectly impersonates a human being. With progress in computer graphics allowing increasingly realistic rendering of forms and motion, the uncanny valley has become a high-stakes concern of the entertainment industry. The uncanny valley hypothesis also poses a fundamental scientific question: What do people perceive when they view human motion and how are those perceptions affected by realistic, nearly realistic, or caricatured human motion? With the growing accuracy of functional magnetic resonance imaging (fMRI) measurement and analysis techniques, there is a new tool with which to answer these questions. The PIs are using fMRI, eye tracking, and traditional perceptual metrics to explore the existence of and causes of the uncanny valley. Motion capture data (including skin and muscle deformation), keyframed animations, high speed video, and clips from feature films are used to construct a set of stimuli with which to answer these questions.The outcomes of this research is a greater understanding of the perception of animated human motion which will inform practitioners and researchers in computer graphics and allow them to focus on the aspects of human animation that will have the greatest impact. The research has broad impacts on science and society. For example, the work conducted here has applicability to the scientific understanding of autism, a devastating neurodevelopmental disorder that effects social functioning in multiple domains including the perception of other people's actions and intentions.

探索神秘谷1970年，日本著名机器人学家森正弘提出了“神秘谷”曲线来描述人类对非人类代理人的情感反应。他的假设是，当一个智能体变得更像人类时，观察者的熟悉度并没有像人们直觉那样增加，而是福尔斯陷入了一个“怪异的山谷”，当智能体接近但不完美地模仿人类时。随着计算机图形学的进步，越来越多的形式和运动的逼真渲染，神秘谷已经成为娱乐业的高风险关注。恐怖谷假说还提出了一个基本的科学问题：当人们看到人体运动时，他们会感知到什么？这些感知如何受到现实的、近乎现实的或漫画化的人体运动的影响？随着功能磁共振成像（fMRI）测量和分析技术的准确性不断提高，有一种新的工具可以回答这些问题。PI正在使用功能磁共振成像，眼动跟踪和传统的感知指标来探索神秘谷的存在和原因。 运动捕获数据（包括皮肤和肌肉变形），关键帧动画，高速视频，本研究的结果是对动画人体运动的感知有了更深的理解，这将使计算机图形学的从业者和研究人员能够专注于人类动画的各个方面，最大的影响。这项研究对科学和社会产生了广泛的影响。 例如，这里进行的工作适用于自闭症的科学理解，自闭症是一种破坏性的神经发育障碍，影响多个领域的社会功能，包括对他人行为和意图的感知。