Human-centred Teamwork Analytics

该项目旨在通过使多模式活动轨迹可见并可用于计算分析，开发方法来协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与缺乏自动评估团队合作的工具之间的差距。预期结果包括协同设计和建模方法，用于以人为中心的分析，从低级数据映射到高阶结构，使不懂数据科学的用户能够获得多模式团队跟踪的可操作见解。这项研究旨在为澳大利亚提供显著的好处，沟通和团队合作是澳大利亚雇主要求的两项最重要的技能。

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.