HCC-Medium: Collaborative Research: Dynamic Support for Computer-Mediated Intercultural Communication

本研究旨在整合计算机支持的协同工作和学习（CSCW和CSCL）的理论和方法，以促进更好的人机跨文化交互。该研究将包括三个阶段：1）识别和分类跨文化沟通问题，并确定它们如何影响群体结果; 2）应用机器学习自动识别何时出现（或可能出现）沟通问题; 3）开发和测试干预措施，以改善基于自动分析的跨文化沟通。这项工作有可能改善全球在线课堂体验和商业合作的设计。在社会层面，这项研究将有助于改善跨文化沟通和跨文化团队的有效性。这项工作也将推进自动协作过程分析的新兴领域，到目前为止，该领域只专注于讲英语的协作。

The research proposes to integrate theories and methods from computer-supported collaborative work and learning (CSCW and CSCL) to promote better human-computer intercultural interactions. The research will consist of three phases: 1) identify and categorize intercultural communication problems and determine how they impact group outcomes; 2) apply machine learning to automatically recognize recognize when communication problems arise (or are likely to arise); and, 3) develop and test interventions for improving intercultural communication that could be triggered based on the automatic analysis. This work has the potential to improve the design of global on-line classroom experiences and business collaborations. At the societal level, the research will help improve intercultural communication and the effectiveness of intercultural teams. This work will also advance the emerging field of automatic collaborative process analysis, which until now has focused only on English-speaking collaborations.