Researchers have traditionally used desktop display systems for visualizing and analyzing volume data. This is partially due to the lack of empirical results showing benefits of immersion for analysis of volume data, and also due to the cost of highly immersive virtual reality (VR) platforms. Researchers exploring the benefits of immersion tend to compare entire display systems rather than evaluating the benefits of individual components of immersion. The VR community needs controlled experimentation to gather empirical data on the benefits of individual components of immersion. In order to generalize the results to a variety of domains, a taxonomy that classifies tasks performed with volume data into general categories is also needed. In our work, we have developed a preliminary task taxonomy and are performing studies to identify the effects of various components of immersion on volume data analysis tasks.
Journal Articles
Move the Object or Move Myself? Walking vs. Manipulation for the Examination of 3D Scientific Data Journal Article
In: Frontiers in ICT, vol. 5, 2018.
Bare-Hand Volume Cracker for Raw Volume Data Analysis Journal Article
In: Frontiers in Robotics and AI, vol. 3235512181919252119299, 2016.
Validation of the MR Simulation Approach for Evaluating the Effects of Immersion on Visual Analysis of Volume Data Journal Article
In: IEEE Transactions on Visualization and Computer Graphics, vol. 19, pp. 529-538, 2013.
Effects of Immersion on Visual Analysis of Volume Data Journal Article
In: IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 4, pp. 597 - 606, 2012, ISSN: 1077-2626.
Conferences
A classification of user tasks in visual analysis of volume data Conference
2015 IEEE Scientific Visualization Conference (SciVis)2015 IEEE Scientific Visualization Conference (SciVis), IEEE IEEE, Chicago, IL, USA, 2015.
Identifying the Benefits of Immersion in Virtual Reality for Volume Data Visualization Conference
Immersive Visualization Revisited Workshop of the IEEE VR conference, 2012.