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Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations
arXiv - CS - Social and Information Networks Pub Date : 2020-09-07 , DOI: arxiv-2009.04445
Travis J. Wiltshire and Dan Hudson and Philia Lijdsman and Stijn Wever and Martin Atzmueller

Given the increasing complexity of many sociotechnical work domains, effective teamwork is becoming more and more crucial. While face-to-face communication contributes to effective teamwork, understanding the time-varying nature and structure of team communication is limited. In this work, we combine sensor-based social analytics of Socio-metric badges (Rhythm Badge) with two visualization techniques (Dynamic Complexity Heat Maps and Network Visualizations) in order to advance an intuitive way of understanding the dynamics of team interaction. To demonstrate the utility of our approach, we provide a case study that examines one team's interaction for a Lost at Sea simulation. Our results show that we are able to recover transitions in the task and in the team interaction. Not only this, but we uncover structural changes in the energy and engagement of team members and visualize these in networks. Taken together, this work represents an important first step at identifying critical transitions/events in team communication and interaction patterns that form the basis for many promising future studies focused on optimizing team performance and well-being.

中文翻译:

使用动态复杂性热图和网络可视化的团队互动社交分析

鉴于许多社会技术工作领域日益复杂,有效的团队合作变得越来越重要。虽然面对面的沟通有助于有效的团队合作,但对团队沟通随时间变化的性质和结构的理解是有限的。在这项工作中,我们将社会度量徽章(节奏徽章)的基于传感器的社交分析与两种可视化技术(动态复杂性热图和网络可视化)相结合,以推进一种直观的方式来理解团队互动的动态。为了证明我们的方法的实用性,我们提供了一个案例研究,用于检查一个团队在“海上迷失”模拟中的交互。我们的结果表明,我们能够恢复任务和团队互动中的转换。不仅如此,但我们发现了团队成员能量和参与度的结构性变化,并在网络中将这些变化可视化。总而言之,这项工作代表了识别团队沟通和交互模式中的关键转变/事件的重要第一步,这些模式构成了许多专注于优化团队绩效和幸福感的未来研究的基础。
更新日期:2020-09-10
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