教授入门HRI：芝加哥大学课程“人机交互：研究与实践”
Teaching Introductory HRI: UChicago Course "Human-Robot Interaction: Research and Practice"
AI总结：
本文介绍了芝加哥大学HRI入门课程的设计、教学结构与学习目标，该课程通过前沿文献讨论与一学期的协作研究项目，为学生提供人机交互研究的实践入门。
摘要：
2020年，我为芝加哥大学的本科生和研究生设计了课程CMSC 20630/30630《人机交互：研究与实践》，作为人机交互（HRI）研究的实践入门。自2020年起，我每个学年都教授并完善这门课程。该课程聚焦HRI领域的核心概念与前沿研究，涵盖的主题包括：非语言机器人行为、语言机器人行为、社会动态、规范与伦理、协作与学习、群体交互、应用以及HRI的未来挑战。课程会议让学生在课堂上主导关于前沿同行评审HRI出版物的讨论。学生还参与为期一学期的协作研究项目，在其中探索一个HRI研究问题，这通常涉及开展他们自己的人类受试者研究，招募人类受试者与机器人互动。在本文中，我详述了课程结构及其学习目标，以及我对课程的反思和学生反馈。
英文摘要：
In 2020, I designed the course CMSC 20630/30630 Human-Robot Interaction: Research and Practice as a hands-on introduction to human-robot interaction (HRI) research for both undergraduate and graduate students at the University of Chicago. Since 2020, I have taught and refined this course each academic year. Human-Robot Interaction: Research and Practice focuses on the core concepts and cutting-edge research in the field of human-robot interaction (HRI), covering topics that include: nonverbal robot behavior, verbal robot behavior, social dynamics, norms & ethics, collaboration & learning, group interactions, applications, and future challenges of HRI. Course meetings involve students in the class leading discussions about cutting-edge peer-reviewed research HRI publications. Students also participate in a quarter-long collaborative research project, where they pursue an HRI research question that often involves conducing their own human-subjects research study where they recruit human subjects to interact with a robot. In this paper, I detail the structure of the course and its learning goals as well as my reflections and student feedback on the course.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
