PSA: A Cross-Platform Framework for Situated Analytics in MR and VR
October 16th, 2023
Categories: Applications, MS / PhD Thesis, Software, User Groups, Visualization, Augmented Reality, Mixed Reality, Human Computer Interaction (HCI), Data Science
Authors
Naik, A., Johnson, A.About
Using immersive environments for training, education, and recreation is becoming increasingly popular among individuals. In recent years these environments have also been used to facilitate data analytics processes involving interaction and task completion. In this work, we discuss Personal Situated Analytics (PSA) a cross-platform framework to embed users into recorded conversations with support for multiple degrees of immersion in the Reality-Virtuality spectrum. Our development pipeline consisted of several stages: tracking, data capturing, data cleaning, data synchronization, prototype building, and deploying the final product to end-user hardware. We evaluate PSA by analyzing data from a recorded meeting involving human participants and a visual conversational AI agent. Our pilot study (n = 12) using this framework compares user experiences for MR and VR environments.
Index Terms: Immersive Analytics, Situated Analytics, Visualization techniques, Human-centered computing
Resources
URL
Citation
Naik, A., Johnson, A., PSA: A Cross-Platform Framework for Situated Analytics in MR and VR, 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Sydney, Australia, October 16th, 2023. https://shorturl.at/eszN1