CAREER: A Multi-Disciplinary Approach to the Next Generation of Collaborative Technologies

职业：下一代协作技术的多学科方法

• 批准号: 0953943
• 负责人: Darren Gergle
• 金额: $ 40.01万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0953943&HistoricalAwards=false
• 关键词: CAREER; Multi; Disciplinary; Approach; Next

This research aims to enable the development of the next generation of collaborative technologies and to study their effects on human collaboration. It does so by improving our theoretical understanding of how various features of shared visual context affect communication, coordination and collaboration. The research develops and makes available the code for a new dual eye tracking methodology that can be used to study coordination and collaboration. It also develops a new set of metrics that can be more generally used to understand coordinated eye movements as they relate to dialogue and conversation. The results of this work will add to knowledge in a number of disciplines, including human-computer interaction, language technologies, computer science, computational linguistics, communication studies, cognitive science, and social and cognitive psychology.As recent efforts in telemedicine, distance education, and remote training and repair attest, there exists enormous potential for technologies to support these activities at a distance, ultimately resulting in widespread benefits such as equal access to quality education and medical care. The education activities in this research include: (1) developing a new Ph.D. course that teaches a theory-driven design approach; (2) developing a series of course modules that use the dual eye tracking methodology to teach behavioral coding, statistics and machine learning; (3) developing a publicly available multimodal corpus with a set of tutorials, and (4) developing a series of international workshops on dual eye tracking. Finally, the research will simultaneously advance discovery and understanding while training both graduate and undergraduate students in interdisciplinary research methods and will contribute to the development of traditionally underrepresented individuals in the fields of computer and information sciences.

这项研究旨在推动下一代协作技术的发展，并研究它们对人类协作的影响。它通过提高我们对共享视觉环境的各种特征如何影响交流、协调和协作的理论理解来做到这一点。这项研究开发并提供了一种新的双眼跟踪方法的代码，该方法可用于研究协调和合作。它还开发了一套新的衡量标准，可以更普遍地用于理解与对话和对话有关的协调眼球运动。这项工作的成果将增加许多学科的知识，包括人机交互、语言技术、计算机科学、计算语言学、传播学、认知科学以及社会和认知心理学。正如最近在远程医疗、远程教育和远程训练和修复方面所做的努力所证明的那样，技术在远程支持这些活动方面存在巨大的潜力，最终产生广泛的好处，如平等地获得优质教育和医疗保健。本研究的教育活动包括：(1)开发一门新的博士课程，教授理论驱动的设计方法；(2)开发一系列使用双眼跟踪方法教授行为编码、统计学和机器学习的课程模块；(3)开发公开可用的多模式语料库和一套教程；以及(4)开发一系列关于双眼跟踪的国际研讨会。最后，这项研究将同时促进发现和理解，同时在跨学科研究方法方面培训研究生和本科生，并将有助于计算机和信息科学领域传统上代表性不足的个人的发展。