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

本研究建议整合计算机支持的协同工作与学习（CSCW和CSCL）的理论和方法，以促进更好的人机跨文化互动。研究将包括三个阶段：1)识别和分类跨文化交际问题，并确定它们如何影响群体结果；2)应用机器学习，在出现（或可能出现）沟通问题时自动识别；3)开发和测试基于自动分析触发的跨文化交际干预措施。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，本研究将有助于提高跨文化交际和跨文化团队的有效性。这项工作还将推动自动协作过程分析这一新兴领域的发展，到目前为止，这一领域只关注英语协作。

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.