@inproceedings{PB-VRVis-2021-034,
author = {Sardana, Disha and Kahu, Sampanna Yashwant and Gra{\v{c}}anin, Denis and Matkovi{\'c}, Kresimir},
title = {Multi-modal Data Exploration in a Mixed Reality Environment Using Coordinated Multiple Views},
year = {2021},
booktitle = {HCII 2021: Human Interface and the Management of Information. Information Presentation and Visualization.},
editor = {Yamamoto S., Mori H.},
doi = {10.1007/978-3-030-78321-1_26},
url = {https://www.vrvis.at/publications/PB-VRVis-2021-034},
publisher = {Springer, Cham},
isbn = {978-3-030-78320-4},
volume = {12765},
abstract = {Immersive analytics is an emerging field of data exploration and analysis in immersive environments. The main idea is to use visual analytics in a fully immersive 3D space. The availability of immersive Extended Reality systems has increased tremendously recently, but it is still not as widely used as conventional 2D displays. We describe an immersive analysis system for spatio-temporal data and compare how it performs in an immersive environment and on a conventional 2D display. We provide a novel view called map-plot that enables analysis and exploration of spatial time series data. We also design an embodied interaction for the map-plot view. The approach is realized based on the coordinated multiple views paradigm. In addition to the map-plot view, several standard views are available. Voice commands and spatial audio are used to support interaction and increase users’ embodiment. The findings from a user study show that developed system is much more efficient in a real immersive environment than using conventional 2D displays.},
keywords = {Immersive analytics Mixed reality Embodied interaction Coordinated multiple views},
}