Science of analytical reasoning

Information Visualization

Volumn 8, Issue 4, 1997, Pages 254-262

  Ribarsky, William ^a   Fisher, Brian ^b   Pottenger, William M ^c  

^a University of North Carolina at Charlotte   (United States)

^b SIMON FRASER UNIVERSITY   (Canada)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

cognition; interaction; reasoning; sensemaking; visual analytics; visualization

Indexed keywords

EID: 84996226954     PISSN: 14738716     EISSN: 14738724     Source Type: Journal    
DOI: 10.1057/ivs.2009.28     Document Type: Article

References (30)

1. Thomas J.J., Cook K.A. (2005) Illuminating the Path: The Research and Development Agenda for Visual Analytics. IEEE Computer Society Press.
2. Pirolli P., Card S. (2005) The Sensemaking Process and Leverage Points for Analyst Technology as Identified Through Cognitive Task Analysis; 2–4 May, McLean, VA: Mitre, pp. 2–4.
3. Luo D., Yang J., Fan J., Ribarsky W., Luo H. (2009) EventRiver: Interactive Visual Explorations of Streaming Text, Charlotte, NC: The Charlotte visualization Center. VisCenter Technical Report CVC-UNCC-09-05.
4. Adams S., Goel A. (2007) Making sense of VAST data. Proceedings of the IEEE Intelligence and Security Informatics; 23–24 May, New Brunswick, NJ. Los Alamitos, CA: IEEE Computer Society Press, pp. 270–273.
5. Eccles R., Kapler T., Harper R., Wright W. (2008) Stories in geo time. Information Visualization 7(1): 3–17.
6. Kim S., Shekhar S., Min M. (2008) Contraflow transportation network reconfiguration for evacuation route planning. Transactions on Knowledge and Data Engineering (TKDE) 20(8): 1115–1129.
7. Chang R., et al(2007) WireVis: Visualization of categorical, time-varying data from financial transactions. In: RibarskyW., KeimO.,(eds.) Proceedings of the IEEE VAST 1907; 30 October–1 November. Sacramento, CA. Los Alamitos, CA: IEEE Computer Society Press, pp. 155–162.
8. Dou W., et al(forthcoming). Recovering the reasoning process from user interactions. IEEE Computer Graphics & Applications (in press).
9. Chang R., Ziemkiewicz C., Green T.M., Ribarsky W. (2009) Defining insight for visual analytics. IEEE Computer Graphics and Applications 29(2): 14–17.
10. Stasko J., Gorg C., Liu Z. (2008) Jigsaw: Supporting investigative analysis through interactive visualization. Information Visualization 7(2): 118–132.
11. Pike W., May R., Turner A. (2007) Supporting knowledge transfer through decomposable reasoning artifacts. In: SpragueR.H.,(ed.) Proceedings of Hawaii 40th Annual Hawaii International Conference on System Sciences (HICCS 2007); 3–6 January, Waikoloa, HI. Los Alamitos, CA: IEEE Computer Society Press, p. 204c, doi.ieeecomputersociety.org/10.1109/HICSS.2007.508.
12. Pike W.A., et al(2008) The scalable reasoning system: Lightweight visualization for distributed analytics. In: EbertD., ErtlT.,(eds.) IEEE Symposium on Visual Analytics Science and Technology: VAST 1908; 21–23 October, Columbus, OH. Los Alamitos, CA: IEEE Computer Society Press, pp. 131–138.
13. Yue J., Raja A., Liu D., Wang X., Ribarsky W. (2009). A blackboard-based approach towards predictive analytics. Proceedings of AAAI Spring Symposium on Technosocial Predictive Analytics; 23–25 March. Stanford, CA. Menlo Park, CA: Association for the Advancement of Artificial Intelligence, Stanford University, pp. 154–161.
14. Corkill D. (1991) Blackboard systems. AI Expert 6(9): 40–47.
15. LaFree G., Dugan L. (2007). Global Terrorism Database, 1970–1997. College Park, MD: University of Maryland. Ann Arbor, MI: Inter-University Consortium for Political and Social Research. Study Number ICPSR04586-v1, doi: 10.3886/ICPSR04586.
16. Goel A.K., Adams S., Cutshaw N., Sugandh N. (2009). Playing Detective: Using AI for Sensemaking in Investigative Analysis. Georgia Tech GVU Technical Report no. GIT-GVU-09-03.
17. Green T., Ribarsky W., Fisher B. (2008) Visual analytics for complex concepts using a human cognition model. In: EbertD., ErtlT.,(eds.) IEEE Symposium on Visual Analytics Science and Technology: VAST 1908; 21–23 October. Columbus, OH. Los Alamitos, CA: IEEE Computer Society Press, pp. 91–98.
18. Pike W.A., Stasko J., Chang R., O’Connell T.A. (2009) The Science of interaction. Information Visualization 8(4): 263–274.
19. Thagard P. (2005) Being interdisciplinary: Trading zones in cognitive science. In: DerryS.J., SchunnC.D., GernsbacherM.A.,(eds.) Interdisciplinary Collaboration: An Emerging Cognitive Science Mahwah NJ: LEA.
20. Gallison P. (1997) Image & Logic: A Material Culture of Microphysics. Chicago, IL: University of Chicago Press.
21. Woolf S.H. (2008) The meaning of translational research and why it matters. The Journal of the American Medical Association 299(2): 211–213.
22. Stokes D.E. (1997) Pasteur’s Quadrant: Basic Science and Technological Innovation. Washington DC: Brookings Institution Press.
23. Fisher B. (forthcoming) Science and smart graphics. Information Technology (in press).
24. Perry J.M., Janneck C.D., Pottenger W.M. (2009) Supporting Cognitive Models of Sensemaking in Analytics Software Systems. Rutgers University, DIMACS Research Report 2009–12.
25. Kasik D., Ebert D., Lebanon G., Park H., Pottenger W.M. (2009) Data transformations and representations for computation and visualization. Information Visualization 8(4): 275–285.
26. van Wijk J.J. (2005). The value of visualization. In: SilvaC.T., GrollerE., RushmeierH.E.,(eds.) IEEE Visualization, Vis 1905; 23–28 October. Minneapolis, MN. Piscataway, NJ: IEEE, pp. 79–86.
27. Isenberg P., Fisher D. (2008) Collaborative brushing and linking for co-located visual analytics of document collections. Computer Graphics Forum 28(3): 1031–1038.
28. Robinson A. (2008) Collaborative synthesis of visualization analytics results. In: EbertD., ErtlT.,(eds.) IEEE Symposium on Visual Analytics Science and Technology: VAST 1908; 21–23 October. Columbus, OH. Los Alamitos, CA: IEEE Computer Society Press, pp. 67–74.
29. Heer J., Agrawala M. (2008) Design considerations for collaborative visual analytics. In: RibarskyW., KeimO.,(eds.) IEEE Symposium on Visual Analytics Science and Technology: VAST 1907; 30 October–1 November. Sacramento, CA. Los Alamitos, CA, pp 49–62.
30. Wilson T.D., Schooler J.W. (1991) Thinking too much: Introspection can reduce the quality of preferences and decisions. Journal of Personality and Social Psychology 60(2): 181–192.