Immersive and collaborative data visualization using virtual reality platforms

Effective data visualization is a key part of the discovery process in the era of “big data”. It is the bridge between the quantitative content of the data and human intuition, and thus an essential component of the scientific path from data into knowledge and understanding. Visualization is also essential in the data mining process, directing the choice of the applicable algorithms, and in helping to identify and remove bad data from the analysis. However, a high complexity or a high dimensionality of modern data sets represents a critical obstacle. How do we visualize interesting structures and patterns that may exist in hyper-dimensional data spaces? A better understanding of how we can perceive and interact with multidimensional information poses some deep questions in the field of cognition technology and human-computer interaction. To this effect, we are exploring the use of immersive virtual reality platforms for scientific data visualization, both as software and inexpensive commodity hardware. These potentially powerful and innovative tools for multi-dimensional data visualization can also provide an easy and natural path to a collaborative data visualization and exploration, where scientists can interact with their data and their colleagues in the same visual space. Immersion provides benefits beyond the traditional “desktop” visualization tools: it leads to a demonstrably better perception of a datascape geometry, more intuitive data understanding, and a better retention of the perceived relationships in the data.

[1]  S. G. Djorgovski,et al.  Feature selection strategies for classifying high dimensional astronomical data sets , 2013, 2013 IEEE International Conference on Big Data.

[2]  Nancy J. Cooke,et al.  Advances in Human Performance and Cognitive Engineering Research , 2002 .

[3]  Cullen D. Jackson,et al.  CAVE and fishtank virtual-reality displays: a qualitative and quantitative comparison , 2006, IEEE Transactions on Visualization and Computer Graphics.

[4]  Russell H. Taylor,et al.  Medical Robotic Systems in Computer-Integrated Surgery , 2003 .

[5]  Jeffrey Heer,et al.  Design Considerations for Collaborative Visual Analytics , 2008, Inf. Vis..

[6]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[7]  Benjamin D. Greenberg,et al.  An immersive virtual environment for DT-MRI volume visualization applications: a case study , 2001, Proceedings Visualization, 2001. VIS '01..

[8]  Thomas Victor Williams A man-machine interface for interpreting electron density maps , 1982 .

[9]  C. Donalek,et al.  CLaSPS: A NEW METHODOLOGY FOR KNOWLEDGE EXTRACTION FROM COMPLEX ASTRONOMICAL DATA SETS , 2012, 1206.2919.

[10]  Daniel G. Bobrow,et al.  WYSIWIS revised: early experiences with multiuser interfaces , 1987, TOIS.

[11]  John G. Webster,et al.  Telepresence for touch and proprioception in teleoperator systems , 1988, IEEE Trans. Syst. Man Cybern..

[12]  Richard Szeliski,et al.  Creating full view panoramic image mosaics and environment maps , 1997, SIGGRAPH.

[13]  Russell H. Taylor,et al.  Medical robotics in computer-integrated surgery , 2003, IEEE Trans. Robotics Autom..

[14]  Daniel G. Bobrow,et al.  WYSIWIS revised: early experiences with multi-user interfaces , 1986, CSCW.

[15]  Doug A. Bowman,et al.  Effects of VR System Fidelity on Analyzing Isosurface Visualization of Volume Datasets , 2014, IEEE Transactions on Visualization and Computer Graphics.

[16]  A. J. Drake,et al.  FIRST RESULTS FROM THE CATALINA REAL-TIME TRANSIENT SURVEY , 2008, 0809.1394.

[17]  Helmut Prendinger,et al.  AstroSim: Collaborative Visualization of an Astrophysics Simulation in Second Life , 2009, IEEE Computer Graphics and Applications.

[18]  Susan R. Fussell,et al.  Do visualizations improve synchronous remote collaboration? , 2008, CHI.

[19]  S. Djorgovski,et al.  Sky Surveys , 2012, 1203.5111.

[20]  S. G. Djorgovski,et al.  The MICA Experiment: Astrophysics in Virtual Worlds , 2013 .

[21]  Eric D. Ragan,et al.  Studying the Effects of Stereo, Head Tracking, and Field of Regard on a Small-Scale Spatial Judgment Task , 2013, IEEE Transactions on Visualization and Computer Graphics.

[22]  Adam Johnson,et al.  An Experiment in Using Virtual Worlds for Scientific Visualization of Self-Gravitating Systems , 2009 .

[23]  Terrence Fong,et al.  Vehicle Teleoperation Interfaces , 2001, Auton. Robots.

[24]  David H. Laidlaw,et al.  Effects of Stereo and Screen Size on the Legibility of Three-Dimensional Streamtube Visualization , 2012, IEEE Transactions on Visualization and Computer Graphics.

[25]  Paul Jerome Kilpatrick,et al.  The use of a kinesthetic supplement in an interactive graphics system. , 1976 .

[26]  S. G. Djorgovski,et al.  Discovery, classification, and scientific exploration of transient events from the Catalina Real-time Transient Survey , 2011, 1111.0313.

[27]  Gary Klein,et al.  4. Some guidelines for conducting a cognitive task analysis , 2001 .

[28]  Ciro Donalek,et al.  Flashes in a star stream: Automated classification of astronomical transient events , 2012, 2012 IEEE 8th International Conference on E-Science.