Comparing 3D Vector Field Visualization Methods: A User Study

被引:32
作者
Forsberg, Andrew S. [1 ]
Chen, Jian [1 ]
Laidlaw, David H. [1 ]
机构
[1] Brown Univ, Dept Comp Sci, Providence, RI 02912 USA
关键词
3D vector fields; visualization; user study; tubes; lines; stereoscopic and monoscopic viewing;
D O I
10.1109/TVCG.2009.126
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:1219 / 1226
页数:8
相关论文
共 26 条
  • [11] Comparing 2D vector field visualization methods: A user study
    Laidlaw, DH
    Kirby, RM
    Jackson, CD
    Davidson, JS
    Miller, TS
    da Silva, M
    Warren, WH
    Tarr, MJ
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2005, 11 (01) : 59 - 70
  • [12] LARAMEE RS, 2004, VIS 04, P51
  • [13] Larsen Richard J., 2000, An Introduction to Mathematical Statistics and Its Applications, V3rd
  • [14] Image-based streamline generation and rendering
    Li, Liya
    Shen, Han-Wei
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2007, 13 (03) : 630 - 640
  • [15] MALLO O, 2005, IEEE VIS C
  • [16] MATTAUSCH O, 2003, SCCG 03
  • [17] Maxwell S. E., 2018, Designing Experiments and Analyzing Data: A Model Comparison Perspective, V3rd
  • [18] NIH-NSF Visualization Research Challenges report summary
    Munzner, T
    Johnson, C
    Moorhead, R
    Pfister, H
    Rheingans, P
    Yoo, TS
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2006, 26 (02) : 20 - 24
  • [19] A comparative study of desktop, fishtank, and cave systems for the exploration of volume rendered confocal data sets
    Prabhat
    Forsberg, Andrew
    Katzourin, Michael
    Wharton, Kristi
    Slater, Mel
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2008, 14 (03) : 551 - 563
  • [20] Particle flurries - Synoptic 3D pulsatile flow visualization
    Sobel, JS
    Forsberg, AS
    Laidlaw, DH
    Zeleznik, RC
    Keefe, DF
    Pivkin, I
    Karniadakis, GE
    Richardson, P
    Swartz, S
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2004, 24 (02) : 76 - 85