Weizhou Luo

Future offices are likely reshaped by Augmented Reality (AR) extending the display space while maintaining awareness of surroundings, and thus promise to support collaborative tasks such as brainstorming or sensemaking. However, it is unclear how physical surroundings and co-located collaboration influence the spatial organization of virtual content for sensemaking. Therefore, we conducted a study (N=28) to investigate the effect of office environments and work styles during a document classification task using AR with regard to content placement, layout strategies, and sensemaking workflows. Results show that participants require furniture, especially tables and whiteboards, to assist sensemaking and collaboration regardless of room settings, while generous free spaces (e.g., walls) are likely used when available. Moreover, collaborating participants tend to use furniture despite personal layout preferences. We identified different placement and layout strategies, as well as the transitions in-between. Finally, we propose design implications for future immersive sensemaking applications and beyond.

This paper presents Pearl, a mixed-reality approach for the analysis of human movement data in situ. As the physical environment shapes human motion and behavior, the analysis of such motion can benefit from the direct inclusion of the environment in the analytical process. We present methods for exploring movement data in relation to surrounding regions of interest, such as objects, furniture, and architectural elements. We introduce concepts for selecting and filtering data through direct interaction with the environment, and a suite of visualizations for revealing aggregated and emergent spatial and temporal relations. More sophisticated analysis is supported through complex queries comprising multiple regions of interest. To illustrate the potential of Pearl, we developed an Augmented Reality-based prototype and conducted expert review sessions and scenario walkthroughs in a simulated exhibition. Our contribution lays the foundation for leveraging the physical environment in the in-situ analysis of movement data.

Our future will likely be reshaped by Mixed Reality (MR) offering boundless display space while preserving the context of real-world surroundings. However, to fully leverage the spatial capabilities of MR technology, a better understanding of how and where to place virtual content like documents is required, particularly considering the situated context. I aim to explore spatial organization strategies for virtual content in MR environments. For that, we conducted empirical studies investigating users’ strategies for document layout and placement and examined two real-world factors: physical environments and people present. With this knowledge, we proposed a mixed-reality approach for the in-situ exploration and analysis of human movement data utilizing physical objects in the original space as referents. My next steps include exploring arrangement strategies, designing techniques empowering spatial organization, and extending understandings for multi-user scenarios. My dissertation will enrich the immersive interface repertoire and contribute to the design of future MR systems.