HCC: Medium: Collaborative Research: Computational Analysis of Nonverbal Behavior in Adaptive Tutoring

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。本计画的目的是发展非语言行为与互动策略的计算模型，以观察面对面教学的情形。这些计算模型将作为新一代体现教学代理的基础，这些代理近似于面对面的人类辅导的好处。该项目将有助于推进学习和教学的科学，通过提高我们对非语言行为的动态教学在计算层面的理解，在多个时间尺度：从几十毫秒时间尺度的低级微表情，到几秒时间尺度的认知和情感过程，在更长的时间尺度上运作的更高层次的战略行为。除了其科学和技术价值，这个项目有一个重要的推广组成部分。该项目将有助于发展研究型校园（UCSD）和本科教学大学（SDSU）之间的联系。该项目的机器人方面将与Preuss学校机器人俱乐部合作开发。普鲁斯学校是一所为6-12年级低收入家庭学生开设的特许学校，目前被评为全国最好的高中之一。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The goal of this project is to develop computational models of the nonverbal behavior and interactive strategies observed during face-to-face teaching. These computational models will serve as a foundation for a new generation of embodied teaching agents that approximate the benefits of face-to-face human tutoring. The project will help advance the science of learning and teaching by improving our understanding of the dynamics of nonverbal behavior in teaching at a computational level, across multiple time scales: From low-level micro-expressions in the timescale of tens of milliseconds, to cognitive and affective processes with time scales of seconds, to higher level strategic behaviors operating at longer time scales.In addition to its scientific and technological value, this project has a significant outreach component. The project would help grow links between a research oriented campus (UCSD) an undergraduate teaching university (SDSU). The robotics aspects of the project will be developed in collaboration with the Preuss School Robotics Club. The Preuss School is a charter school for low-income students in grades 6-12 and is currently ranked as one of the top high schools in the nation.