Human-centred Teamwork Analytics

该项目旨在通过使多模态活动痕迹可见并可用于计算分析来开发方法，以帮助评估和改进协同工作。该项目希望弥合有前途的传感技术和缺乏自动评估团队合作的工具之间的差距。预期成果包括用于以人为本的分析的协同设计和建模方法，这些方法从低级数据映射到高阶结构，使不精通数据科学的用户能够对多模式团队轨迹获得可操作的见解。这项研究旨在为澳大利亚提供重大利益，沟通和团队合作是澳大利亚雇主所需的两项最重要的关键技能。

This project aims to develop methods to assist the assessment and improvement of collocated teamwork, by making multimodal activity traces visible and available for computational analysis. This project expects to bridge the gap between promising sensing technologies and the dearth of tools to automatically assess teamwork. Expected outcomes include co-design and modelling methodologies for human-centred analytics that map from low-level data to higher-order constructs to enable non-data science savvy users to get actionable insights into multimodal team traces. This research aims to provide significant benefits to Australia, with communication and teamwork being two of the topmost critical skills required by Australian employers.