Towards an Understanding of Augmented Reality Extensions for Existing 3D Data Analysis Tools

要旨

We present an observational study with domain experts to understand how augmented reality (AR) extensions to traditional PC-based data analysis tools can help particle physicists to explore and understand 3D data. Our goal is to allow researchers to integrate stereoscopic AR-based visual representations and interaction techniques into their tools, and thus ultimately to increase the adoption of modern immersive analytics techniques in existing data analysis workflows. We use Microsoft's HoloLens as a lightweight and easily maintainable AR headset and replicate existing visualization and interaction capabilities on both the PC and the AR view. We treat the AR headset as a second yet stereoscopic screen, allowing researchers to study their data in a connected multi-view manner. Our results indicate that our collaborating physicists appreciate a hybrid data exploration setup with an interactive AR extension to improve their understanding of particle collision events.

キーワード
Immersive analytics
3D visualization
User interface
Hybrid visualization system
著者
Xiyao Wang
Université Paris-Saclay, CNRS, Inria, LRI, Orsay, France
Lonni Besançon
Linköpings University, Norrköping, Sweden
David Rousseau
Université Paris-Saclay, CNRS, IJCLab, Orsay, France
Mickael Sereno
Université Paris-Saclay, CNRS, Inria, LRI, Orsay, France
Mehdi Ammi
University of Paris 8, Saint-Denis, France
Tobias Isenberg
Université Paris-Saclay, CNRS, Inria, LRI, Orsay, France
DOI

10.1145/3313831.3376657

論文URL

https://doi.org/10.1145/3313831.3376657

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Ubiquitous, smelly & immersive visualization

Paper session
316A MAUI
5 件の発表
2020-04-30 01:00:00
2020-04-30 02:15:00
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