An Evaluation of Space Time Cube Representation of Spatiotemporal Patterns

被引:59
作者
Kristensson, Per Ola [1 ]
Dahlback, Nils [2 ]
Anundi, Daniel [2 ]
Bjornstad, Marius [2 ]
Gillberg, Hanna [2 ]
Haraldsson, Jonas [2 ]
Martensson, Ingrid [2 ]
Nordvall, Mathias [2 ]
Stahl, Josefine [2 ]
机构
[1] Univ Cambridge, Cavendish Lab, Darwin Coll, Cambridge CB3 9EU, England
[2] Linkoping Univ, Dept Comp & Informat Sci, S-58183 Linkoping, Sweden
关键词
Information visualization; evaluation/methodology; space time cube; VISUALIZATION;
D O I
10.1109/TVCG.2008.194
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Space time cube representation is an information visualization technique where spatiotemporal data points are mapped into a cube. Information visualization researchers have previously argued that space time cube representation is beneficial in revealing complex spatiotemporal patterns in a data set to users. The argument is based on the fact that both time and spatial information are displayed simultaneously to users, an effect difficult to achieve in other representations. However, to our knowledge the actual usefulness of space time cube representation in conveying complex spatiotemporal patterns to users has not been empirically validated. To fill this gap, we report on a between-subjects experiment comparing novice users' error rates and response times when answering a set of questions using either space time cube or a baseline 2D representation. For some simple questions, the error rates were lower when using the baseline representation. For complex questions where the participants needed an overall understanding of the spatiotemporal structure of the data set, the space time cube representation resulted in on average twice as fast response times with no difference in error rates compared to the baseline. These results provide an empirical foundation for the hypothesis that space time cube representation benefits users analyzing complex spatiotemporal patterns.
引用
收藏
页码:696 / 702
页数:7
相关论文
共 15 条
[11]   An insight-based longitudinal study of visual analytics [J].
Saraiya, Purvi ;
North, Chris ;
Lam, Vy ;
Duca, Karen A. .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2006, 12 (06) :1511-1522
[12]   Visualization of search results: A comparative evaluation of text, 2D, and 3D interfaces [J].
Sebrechts, MM ;
Vasilakis, J ;
Miller, MS ;
Cugini, JV ;
Laskowski, SJ .
SIGIR'99: PROCEEDINGS OF 22ND INTERNATIONAL CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 1999, :3-10
[13]   Human factors in visualization research [J].
Tory, M ;
Möller, T .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2004, 10 (01) :72-84
[14]   Views on visualization [J].
van Wijk, JJ .
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2006, 12 (04) :421-432
[15]  
Ware C., 2019, Information Visualization: Perception for Design