Online Submission ID: vis-1157 Comparing 3D Vector Field Visualization Methods: A User Study

In a user study comparing four visualization methods for three-dimensional vector data, participants used visualizations from each method to perform five simple but representative tasks: 1) determining whether a given point was a critical point, 2) determining the type of a critical point, 3) determining whether an integral curve would advect through two points, 4) determining whether swirling movement is present at a point, and 5) determining whether the vector field is moving faster at one point than another. The visualization methods were line and tube representations of integral curves with both monoscopic and stereoscopic viewing. While participants reported a preference for stereo lines, quantitative results showed performance among the tasks varied by method. Users performed all tasks better with methods that: 1) gave a clear representation with no perceived occlusion, 2) clearly visualized curve speed and direction information, and 3) provided fewer rich 3D cues (e.g., shading, polygonal arrows, overlap cues, and surface textures). These results provide quantitative support for anecdotal evidence on visualization methods. The tasks and testing framework also give a basis for comparing other visualization methods, for creating more effective methods, and for defining additional tasks to explore further the tradeoffs among the methods.

[1]  H.-C. Hege,et al.  Interactive visualization of 3D-vector fields using illuminated stream lines , 1996, Proceedings of Seventh Annual IEEE Visualization '96.

[2]  D. Weiskopf,et al.  Investigating swirl and tumble flow with a comparison of visualization techniques , 2004, IEEE Visualization 2004.

[3]  Carolina Cruz-Neira,et al.  Surround-Screen Projection-Based Virtual Reality: The Design and Implementation of the CAVE , 2023 .

[4]  Colin Ware,et al.  3D contour perception for flow visualization , 2006, APGV '06.

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

[6]  Scott E. Maxwell,et al.  Designing Experiments and Analyzing Data: A Model Comparison Perspective , 1990 .

[7]  Filip Sadlo,et al.  Illuminated lines revisited , 2005, VIS 05. IEEE Visualization, 2005..

[8]  Daniel F. Keefe,et al.  Particle flurries , 2004, IEEE Computer Graphics and Applications.

[9]  Jinhee Jeong,et al.  On the identification of a vortex , 1995, Journal of Fluid Mechanics.

[10]  Han-Wei Shen,et al.  Image-based streamline generation and rendering , 2007, IEEE Transactions on Visualization and Computer Graphics.

[11]  W. Hibbard,et al.  Interactivity is the key , 1989, VVS '89.

[12]  Doug A. Bowman,et al.  A Survey of Usability Evaluation in Virtual Environments: Classification and Comparison of Methods , 2002, Presence: Teleoperators & Virtual Environments.

[13]  Jarke J. van Wijk,et al.  Image based flow visualization , 2002, ACM Trans. Graph..

[14]  David L. Kao,et al.  Strategy for seeding 3D streamlines , 2005, VIS 05. IEEE Visualization, 2005..

[15]  David H. Laidlaw,et al.  Exploring 3D DTI Fiber Tracts with Linked 2D Representations , 2009, IEEE Transactions on Visualization and Computer Graphics.

[16]  Penny Rheingans,et al.  NIH-NSF visualization research challenges report summary , 2006, IEEE Computer Graphics and Applications.

[17]  Joseph J. LaViola,et al.  Immersive VR for Scientific Visualization: A Progress Report , 2000, IEEE Computer Graphics and Applications.

[18]  Robert Michael Kirby,et al.  Comparing 2D vector field visualization methods: a user study , 2005, IEEE Transactions on Visualization and Computer Graphics.

[19]  Eduard Gröller,et al.  Strategies for interactive exploration of 3D flow using evenly-spaced illuminated streamlines , 2003, SCCG '03.

[20]  R. Larsen,et al.  An introduction to mathematical statistics and its applications (2nd edition) , by R. J. Larsen and M. L. Marx. Pp 630. £17·95. 1987. ISBN 13-487166-9 (Prentice-Hall) , 1987, The Mathematical Gazette.

[21]  Greg Turk,et al.  Reconstructing Surfaces by Volumetric Regularization Using Radial Basis Functions , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Kellogg S. Booth,et al.  Fish tank virtual reality , 1993, INTERCHI.

[23]  Daniel Acevedo Feliz,et al.  Using Visual Design Experts in Critique-Based Evaluation of 2D Vector Visualization Methods , 2008, IEEE Transactions on Visualization and Computer Graphics.

[24]  Prabhat,et al.  A Comparative Study of Desktop, Fishtank, and Cave Systems for the Exploration of Volume Rendered Confocal Data Sets , 2008, IEEE Transactions on Visualization and Computer Graphics.

[25]  D. Laidlaw,et al.  Similarity Coloring of DTI Fiber Tracts , 2009 .