Hybrid working strategies have become, and will continue to be, the norm for many offices. This raises two considerations: newly unoccupied spaces needlessly consume energy, and the occupied spaces need to be effectively used to facilitate meaningful interactions and create a positive, sustainable work culture. This work aims to determine when spontaneous, collaborative interactions occur within the building and the environmental factors that facilitate such interactions. This study uses smartwatch-based micro-surveys using the Cozie platform to identify the occurrence of and spatially place interactions while categorizing them as a collaboration or distraction. This method uniquely circumvents pitfalls associated with surveying and qualitative data collection: occupant behaviors are identified in real-time in a non-intrusive manner, and survey data is corroborated with quantitative sensor data. A proof-of-concept study was deployed with nine hybrid-working participants providing 100 micro-survey cluster responses over approximately two weeks. The results show the spontaneous interactions occurring in hybrid mode are split evenly among the categories of collaboration, wanted socialization, and distraction and primarily occur with coworkers at one's desk. From these data, we can establish various correlations between the occurrence of positive spontaneous interactions and different factors, such as the time of day and the locations in the building. This framework and first deployment provide the foundation for future large-scale data collection experiments and human interaction modeling.

翻译：混合工作模式已成为并将继续成为许多办公室的常态。这引发了两个方面的问题：新空置的空间会无谓地消耗能源，而已使用的空间需要得到有效利用，以促进有意义的互动并创造积极、可持续的工作文化。本研究旨在确定建筑内自发的协作互动何时发生，以及促进此类互动的环境因素。该研究使用基于智能手表的微调查（依托Cozie平台）来识别互动的发生并进行空间定位，同时将其归类为协作或干扰。该方法独特地规避了调查和定性数据收集中的常见陷阱：以非侵入方式实时识别居住者行为，且调查数据得到定量传感器数据的印证。一项概念验证研究在九名混合工作模式的参与者中开展，收集了约两周内的100份微调查集群响应。结果显示，混合模式下发生的自发互动在协作、期望的社交和干扰类别中平均分布，且主要发生在员工的工位上。根据这些数据，我们可以建立积极自发互动发生与不同因素（如一天中的时间和建筑内位置）之间的多种相关性。该框架及首次部署为未来大规模数据收集实验和人类互动建模奠定了基础。