Over the past years, there has been a shift towards online and hybrid meeting forms in workplace environments, partly as a consequence of various COVID-19 restrictions. However, the decision-making process on how to best collaborate with team members is predominantly driven by practical concerns. While there is a significant body of literature about where to best meet, this knowledge is fragmented across various disciplines and hard to use in novel meeting solutions. We present the Cross-Space Collaboration model which identifies the main factors that drive the features of in-person collaboration and the meeting aspects that influence these factors such as cognitive load. We designed the model to give guidance to teams and individuals on how to meet in order to have a higher collaboration effectiveness. Finally, we outline how the model can bring added value within new meeting solutions, next generation virtual reality meeting spaces and educational settings.

翻译：过去几年，工作场所的会议形式逐渐转向在线和混合模式，这部分是新冠疫情限制的结果。然而，关于如何与团队成员最佳协作的决策过程主要受实际因素驱动。尽管存在大量关于最佳会议地点的文献，但这些知识分散在各个学科中，难以应用于新型会议解决方案。我们提出了跨空间协作模型，该模型识别了驱动面对面协作特征的主要因素，以及影响这些因素（如认知负荷）的会议维度。我们设计该模型旨在为团队和个人提供关于如何开会以实现更高协作效率的指导。最后，我们概述了该模型如何在新型会议解决方案、下一代虚拟现实会议空间以及教育场景中带来附加价值。