ImmerView: Adaptive Multi-View Layout for Immersive Situated Visualizations

Jiayin Li, Lixiang Zhao, Hai-Ning Liang, Lingyun Yu

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Multi-view visualizations play a crucial role in presenting and comparing information within immersive analytics. These views can be positioned at various locations in the immersive environment, with a preference for attaching information close to the actual data, a concept referred to as situated visualization. While existing research has primarily concentrated on the multi-view layout and situated information based on objects' real-world positions, there has been limited exploration of users' subjective preferences for multiple views. These preferences might be influenced by factors such as the user's location, view direction, occlusion in the environment, and also correlate with visualization tasks.
This paper introduces a method for developing a flexible layout for multi-view visualizations. This method takes into account the spatial arrangement of objects in relation to the user's position, viewing angle, and the object of focus. With this data, an optimal layout is generated for the views, ensuring that information maintains an equal distance from the user. Consequently, this promotes easier and more user-friendly information comparison, thus enriching the immersive analytics experience.
Original languageEnglish
Title of host publication2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
DOIs
Publication statusPublished - 16 Oct 2023

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