학술논문

A Study on Collaborative Visual Data Analysis in Augmented Reality with Asymmetric Display Types
Document Type
Periodical
Source
IEEE Transactions on Visualization and Computer Graphics IEEE Trans. Visual. Comput. Graphics Visualization and Computer Graphics, IEEE Transactions on. 30(5):2633-2643 May, 2024
Subject
Computing and Processing
Bioengineering
Signal Processing and Analysis
Collaboration
Data analysis
Three-dimensional displays
Augmented reality
Stereo image processing
Visualization
Resists
Augmented Reality
Empirical Studies
Language
ISSN
1077-2626
1941-0506
2160-9306
Abstract
Collaboration is a key aspect of immersive visual data analysis. Due to its inherent benefit of seeing co-located collaborators, augmented reality is often useful in such collaborative scenarios. However, to enable the augmentation of the real environment, there are different types of technology available. While there are constant developments in specific devices, each of these device types provide different premises for collaborative visual data analysis. In our work we combine handheld, optical see-through and video see-through displays to explore and understand the impact of these different device types in collaborative immersive analytics. We conducted a mixed-methods collaborative user study where groups of three performed a shared data analysis task in augmented reality with each user working on a different device, to explore differences in collaborative behaviour, user experience and usage patterns. Both quantitative and qualitative data revealed differences in user experience and usage patterns. For collaboration, the different display types influenced how well participants could participate in the collaborative data analysis, nevertheless, there was no measurable effect in verbal communication.