A Visual Information Processing Model to Characterize Interactive Visualization Environments

International Journal of Human-Computer Interaction

Volumn 27, Issue 4, 2011, Pages 348-363

  Jun, Esther ^a   Landry, Steven ^a   Salvendy, Gavriel ^a,b  

^a SCHOOL OF INDUSTRIAL ENGINEERING   (United States)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79951866221     PISSN: 10447318     EISSN: 15327590     Source Type: Journal    
DOI: 10.1080/10447318.2011.540491     Document Type: Article

References (90)

1. Ahlberg, C., & Shneiderman, B. (1994). Visual information seeking: Tight coupling of dynamic query filters with starfield displays. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 313-317.
2. Ahlberg, C., Williamson, C., & Shneiderman, B. (1992). Dynamic queries for information exploration: An implementation and evaluation. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 619-626.
3. Amar, R., Eagan, J., & Stasko, J. (2005). Low-level components of analytic activity in information visualization. Proceedings of the IEEE Symposium on Information Visualization, 111-117.
4. Baddeley, A. (1998). Working memory. Comptes Rendus de l'Academie des Sciences Series III Sciences de la Vie, 321(2-3), 167-173.
5. Baddeley, A. D. (1999). Essentials of human memory. Hove, UK: Psychology Press.
6. Baddeley, A. (2003).Working memory: Looking back and looking forward. Nature Reviews: Neuroscience, 4, 829-839.
7. Baldonado, M. Q. W., Woodruff, A., & Kuchinsky, A. (2000). Guidelines for using multiple views in information visualization. Proceedings of the Working Conference on Advanced Visual Interfaces, 110-119.
8. Baudisch, P., Good, N., & Stewart, P. (2001). Focus plus context screens: Combining display technology with visualization techniques. Proceedings of the 14th Annual ACM Symposium on User Interface Software and Technology, 31-40.
9. Bederson, B. B., & Hollan, J. D. (1994). Pad++: A zooming graphical interface for exploring alternate interface physics. Proceedings of the 7th Annual ACM Symposium on User Interface Software and Technology, 17-26.
10. Bertin, J. (1983). Semiology of graphics (W. J. Berg, Trans.). Madison: The University of Wisconsin Press.
11. Broadbent, D. E. (1958). Perception and communication. Oxford, UK: Pergamon Press.
12. Buja, A., Cook, D., & Swayne, D. F. (1996). Interactive high-dimensional data visualization. Journal of Computational and Graphical Statistics, 5(1), 78-99.
13. Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999). Readings in information visualization: Using vision to think. San Francisco, CA: Morgan Kaufmann.
14. Carpendale, M. S. T., & Montagnese, C. (2001). A framework for unifying presentation space. Proceedings of the 14th Annual ACM Symposium on User Interface Software and Technology, 61-70.
15. Chang, D., Dooley, L., & Tuovinen, J. E. (2002). Gestalt theory in visual screen design: A new look at an old subject. Proceedings of the Seventh World Conference on Computers in Education, 5-12.
16. Chen, C. (2005). Top 10 unsolved information visualization problems. IEEE Computer Graphics and Applications, 25(4), 12-16.
17. Chernoff, H. (1973). The use of faces to represent points in k-dimensional space graphically. Journal of the American Statistical Association, 68(342), 361-368.
18. Convertino, G., Chen, J., Yost, B., Ryu, Y. S., & North, C. (2003). Exploring context switching and cognition in dual-view coordinated visualizations. Proceedings of the Coordinated & Multiple Views in Exploratory Visualization, 55-64.
19. Cowan, N. (1995). Attention and memory: An integrated framework. New York, NY: Oxford University Press.
20. Cowan, N. (2008). What are the differences between long-term, short-term, and working memory? In W. S. Sossin, J.-C. Lacaille, V. F. Castellucci, & S. Belleville (Eds.), Progress in brain research: Vol. 169. Essence of memory (pp. 323-338). Amsterdam, the Netherlands: Elsevier.
21. Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Reviews in Neuroscience, 18(1), 193-222.
22. Dodge, M., McDerby, M., & Turner, M. (2008). The power of geographical visualizations. In M. Dodge, M. McDerby, & M. Turner (Eds.), Geographic visualization: Concepts, tools and applications (pp. 1-10). Hoboken, NJ:Wiley.
23. Duncan, J., Humphreys, G., & Ward, R. (1997). Competitive brain activity in visual attention. Current Opinion in Neurobiology, 7, 255-261.
24. Ericsson, K. A., & Kintsch,W. (1995). Long-term workingmemory. Psychological Review, 102, 211-245.
25. Friendly, M. (1999). Extending mosaic displays: Marginal, conditional, and partial views of categorical data. Journal of Computational and Graphical Statistics, 8, 373-395.
26. Furnas, G. W. (1986). Generalized fisheye views. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 16-23.
27. Furnas, G.W. (2006). A fisheye follow-up: Further reflections on focus + context. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 999-1008.
28. Gibson, J. J. (1979). The ecological approach to visual perception. Boston, MA: HoughtonMifflin.
29. Gutwin, C. (2002). Improving focus targeting in interactive fisheye views. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 267-274.
30. Hansen, C. D., & Johnson, C. R. (2005). The visualization handbook. Orlando, FL: Academic Press.
31. Healey, C. G. (1996). Choosing effective colours for data visualization. Proceedings of the 7th Conference on Visualization '96, 263-270.
32. Healey, C. G., & Enns, J. T. (1998). On the use of perceptual cues and data mining for effective visualization of scientific datasets. Graphics Interface Proceedings, 177-184.
33. Healey, C. G., & Enns, J. T. (1999). Large datasets at a glance: Combining textures and colors in scientific visualization. IEEE Transactions on Visualization and Computer Graphics, 5, 145-167.
34. Henry, N., Goodell, H., Elmqvist, N., & Fekete, J. (2007). 20 years of four HCI conferences: A visual exploration. International Journal of Human-Computer Interaction, 23, 239-285.
35. Hollan, J., Hutchins, E., & Kirsh, D. (2000). Distributed cognition: Toward a new foundation for human-computer interaction research. ACM Transactions on Computer-Human Interaction, 7, 174-196.
36. Inselberg, A., & Dimsdale, B. (1990). Parallel coordinates: A tool for visualizing multidimensional geometry. Proceedings of the First IEEE Conference on Visualization, 361-378.
37. Keim, D. A. (2002). Information visualization and visual data mining. IEEE Transactions on Visualization and Computer Graphics, 8, 1-8.
38. Kerne, A., Smith, S. M., Koh, E., Choi, H., & Graeber, R. (2008). An experimentalmethod for measuring the emergence of new ideas in information discovery. International Journal of Human-Computer Interaction, 24, 460-477.
39. Kosara, R., Miksch, S., & Hauser, H. (2001). Semantic depth of field. Proceedings of the IEEE Symposium on Information Visualization, 97-104.
40. Kosslyn, S. M., Thompson, W. L., & Ganis, G. (2006). The case for mental imagery. NewYork, NY: Oxford University Press.
41. Lamping, J., Rao, R., & Pirolli, P. (1995). A focus+context technique based on hyperbolic geometry for visualizing large hierarchies. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 401-408.
42. Lee, S., Kim, G. J., & Choi, S. (2009). Real-time tracking of visually attended objects in virtual environments and its application to LOD. IEEE Transactions on Visualization and Computer Graphics, 15, 6-19.
43. Liu, Z., Nersessian, N. J., & Stasko, J. T. (2008). Distributed cognition as a theoretical framework for information visualization. IEEE Transactions on Visualization and Computer Graphics, 14, 1173-1180.
44. Mackinlay, J. (1986). Automating the design of graphical presentations of relational information. ACM Transactions on Graphics, 5, 110-141.
45. Mackinlay, J. D., Robertson, G. G., & Card, S. K. (1991). The perspective wall: Detail and context smoothly integrated. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 173-179.
46. Norman, D. A. (1988). The design of everyday things. New York, NY: Basic Books.
47. North, C. (2006). Toward measuring visualization insight. IEEE Computer Graphics and Applications, 26, 6-9.
48. North, C., & Shneiderman, B. (2000). Snap-together visualization: A user interface for coordinating visualizations via relational schemata. Proceedings of the Working Conference on Advanced Visual Interfaces, 128-135.
49. Pfitzner, D., Hobbs, V., & Powers, D. (2003). A unified taxonomic framework for information visualization. Proceedings of the Asia-Pacific Symposium on Information Visualisation, 57-66.
50. Plumlee, M. D., & Ware, C. (2006). Zooming versus multiple window interfaces: Cognitive costs of visual comparisons. ACM Transactions on Computer-Human Interaction, 13, 179-209.
51. Proctor, R.W., & Van Zandt, T. (2008). Human factors in simple and complex systems (2nd ed.). Boca Raton, FL: Taylor & Francis.
52. Rao, R., & Card, S. K. (1994). The table lens:Merging graphical and symbolic representations in an interactive focus+context visualization for tabular information. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 318-322.
53. Roberts, J. C. (2003). Guest editor's introduction: Special issue on coordinated and multiple views in exploratory visualization. Information Visualization, 2, 199-200.
54. Roberts, J. C. (2007). State of the art: Coordinated and multiple views in exploratory visualization. Proceedings of the Fifth International Conference on Coordinated & Multiple Views, 61-71.
55. Ryu, Y. S., Yost, B., Convertino, G., Chen, J., & North, C. (2003). Exploring cognitive strategies for integrating multiple-view visualizations. Human Factors and Ergonomics Society 47th Annual Meeting, 591-595.
56. Saraiya, P., North, C., Lam, V., & Duca, K. A. (2006). An insight-based longitudinal study of visual analytics. IEEE Transactions on Visualization and Computer Graphics, 12, 1511-1522.
57. Sarkar, M., & Brown, M. H. (1992). Graphical fisheye views of graphs. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 83-91.
58. Sarkar, M., & Brown, M. H. (1994). Graphical fisheye views. Communications of the ACM, 37, 73-83.
59. Shneiderman, B. (1997). Direct manipulation for comprehensible, predictable and controllable user interfaces. Proceedings of the 2nd International Conference on Intelligent User Interfaces, 33-39.
60. Skopik, A., & Gutwin, C. (2003). Finding things in fisheyes: Memorability in distorted spaces. Graphics Interface Proceedings, 47-55.
61. Skopik, A., & Gutwin, C. (2005). Improving revisitation in fisheye views with visit wear. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 771-780.
62. Smith, E. E., & Kosslyn, S. M. (2007). Cognitive psychology: Mind and brain. Upper Saddle River, NJ: Pearson Prentice Hall.
63. Spence, R. (2007). Information visualization: Design for interaction (2nd ed.). Harlow, UK: Pearson Education Limited.
64. Spence, R., & Apperley, M. (1982). Data base navigation: An office environment for the professional. Behaviour & Information Technology, 1(1), 43-54.
65. Stone, M. C., Fishkin, K., & Bier, E. A. (1994). The movable filter as a user interface tool. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 306-312.
66. Thomas, J. J., & Cook, K. A. (Eds.). (2005). Illuminating the path: The research and development agenda for visual analytics. Richland, WA: National Visualization and Analytics Center. Available from http://nvac.pnl.gov/agenda.stm
67. Tory, M., & Möller, T. (2004a). Human factors in visualization research. IEEE Transactions on Visualization and Computer Graphics, 10(1), 72-84.
68. Tory, M., & Möller, T. (2004b). Rethinking visualization: A high-level taxonomy. Proceedings of the IEEE Symposium on Information Visualization, 151-158.
69. Treisman, A.M. (1964). Verbal cues, language, and meaning in selective attention. American Journal of Psychology, 77, 206-219.
70. Treisman, A. (1985). Preattentive processing in vision. Computer Vision, Graphics, and Image Processing, 31, 156-177.
71. Treisman, A. (1986). Features and objects in visual processing. Scientific American, 255, 114B-125.
72. Treisman, A. (1996). The binding problem. Current Opinion in Neurobiology, 6, 171-178.
73. Treisman, A., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12(1), 97-136.
74. Treisman, A., & Gormican, S. (1988). Feature analysis in early vision: Evidence from search asymmetries. Psychological Review, 95(1), 15-48.
75. van den Berg, R., Cornelissen, F.W., & Roerdink, J. B. T.M. (2008). Perceptual dependencies in information visualization assessed by complex visual search. ACM Transactions on Applied Perception, 4(4), 1-21.
76. Ware, C. (2004). Information visualization: Perception for design (2nd ed.). San Francisco, CA: Morgan Kaufmann.
77. Ware, C. (2008). Visual thinking for design. Burlington, MA: Morgan Kaufmann.
78. Wehrend, S., & Lewis, C. (1990). A problem-oriented classification of visualization techniques. Proceedings of the 1st conference on Visualization, 139-143.
79. Wickens, C. D. (2002). Multiple resources and performance prediction. Theoretical Issues in Ergonomics Science, 3, 159-177.
80. Wickens, C. D., & Carswell, C. M. (2006). Information processing. In G. Salvendy (Ed.), Handbook of human factors and ergonomics (3rd ed., pp. 111-149). Hoboken, NJ: Wiley & Sons.
81. Wickens, C. D., Goh, J., Helleberg, J., Horrey, W. J., & Talleur, D. A. (2003). Attentional models of multitask pilot performance using advanced display technology. Human Factors, 45, 360-380.
82. Wickens, C. D., & Helleberg, J. (2001). Pilot task management: Testing an attentional expected value model of visual scanning (University of Illinois Aviation Research Lab Tech. Rep. No. ARL-01-18/NASA-01-9). Urbana-Champaign: University of Illinois.
83. Wickens, C. D., & Hollands, J. G. (2000). Engineering psychology and human performance (3rd ed.). Upper Saddle River, NJ: Prentice Hall.
84. Wolfe, J. M. (1994). Guided search 2.0: A revised model of visual search. Psychonomic Bulletin & Review, 1, 202-238.
85. Wolfe, J. M., & Horowitz, T. S. (2004). What attributes guide the deployment of visual attention and how do they do it? Nature Reviews: Neuroscience, 5, 495-501.
86. Yi, J. S., Kang, Y., Stasko, J., & Jacko, J. (2007). Toward a deeper understanding of the role of interaction in information visualization. IEEE Transactions on Visualization and Computer Graphics, 13, 1224-1231.
87. Yi, J. S., Kang, Y., Stasko, J. T., & Jacko, J. A. (2008). Understanding and characterizing insights: How do people gain insights using information visualization? Proceedings of the 2008 Conference on Beyond Time and Errors: Novel Evaluation Methods for Information Visualization. pp. 1-6.
88. Zanella, A., Carpendale, M. S. T., & Rounding, M. (2002). On the effects of viewing cues in comprehending distortions. Proceedings of the Second Nordic Conference on Human- Computer Interaction, 119-128.
89. Zhou, M. X., & Feiner, S. K. (1998). Visual task characterization for automated visual discourse synthesis. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 392-399.
90. Ziemkiewicz, C., & Kosara, R. (2008). The shaping of information by visualmetaphors. IEEE Transactions on Visualization and Computer Graphics, 14, 1269-1276.