Abstract
This chapter considers the need for a better understanding of complex human cognition in the design of interactive visual interfaces by surveying the availability of pertinent cognitive models and applicable research in the behavioral sciences, and finds that there are no operational models or useful precedent to effectively guide the design of visually enabled interfaces. Further, this chapter explores the impact of individual differences, and in particular, inherent differences such as personality factors, on complex cognition. Lastly, it outlines how knowledge of human individuality, coupled with what is known about complex cognition, is being used to develop predictive measures for interface interaction design and evaluation, a research program known as the Personal Equation of Interaction. ...
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Aoidh, E.M., Bertolotto, M., Wilson, D.C.: Understanding geospatial interests by visualizing map interaction behavior. Information Visualization 7, 275–286 (2008)
Brooks, G., Brooks, R.: The Improbable Progenitor. Journal of the Royal Astronomical Society of Canada 73(1), 9–23 (1979)
Card, S., Mackinlay, J.D., Shneiderman, B.: Readings in Information Visualization Using Visualization to Think. Morgan Kaufmann, San Francisco (1999)
Chang, R., Ziemkiewicz, C., Green, T.M., Ribarsky, W.: Defining insight for visual analytics. Computer Graphics and Applications 29(2), 14–17 (2009)
Cherubini, P., Johnson-Laird, P.N.: Does everyone love everyone? The psychology of iterative reasoning. Thinking and reasoning 10(1), 31–53 (2004)
Cherubini, P., Mazzocco, A.: From models to rules: Mechanization of reasoning as a way to cope with cognitive overloading in combinatorial problems. Acta Psychologica 243, 223–243 (2004)
Corn, A.L.: Visual function: A theoretical model for individuals with Low Vision. Journal of Visual Impairment and Blindness 77(8), 373 (1983)
Dou, W., Jeong, D.H., Stukes, F., Ribarsky, W., Lipford, H.R., Chang, R.: Recovering reasoning processes from user interactions. IEEE Computer Graphics and Applications 29(3), 52–61 (2009)
Fisher, B.: Science and Smart Graphics. Information Technology 3, 142–148 (2009)
Gentzen, G.: Investigations into Logical Deduction, pp. 68–131. North-Holland, Amsterdam (1969); Translation printed in M. Szabo The Collected Papers of Gerhard Gentzen (1934/5)
Gigerenzer, G., Goldstein, D.G.: Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review 103(4) (1996)
Green, T.M., Ribarsky, W., Fisher, B.: Visual analytics for complex concepts using a human cognition model. In: Proceedings of IEEE Visual Analytics Science and Technology, Columbus, OH, USA ( October 2008)
Green, T.M., Ribarsky, W.: Using a human cognition model in the creation of collaborative knowledge visualizations. In: Proceedings of Hot Topics in Visual Analytics, SPIE Defense + Security, Orlando, Florida, USA (2008)
Green, T.M., Ribarsky, W., Fisher, B.: Building and applying a human cognition model for visual analytics. Information Visualization 8(1), 1–13 (2009)
Green, T.M., Jeong, D.H., Fisher, B.: Using personality factors to predict interface learning performance. In: Proceedings of Hawaii International Conference on System Sciences, Koloa, Hawaii, USA, January 2010, vol. 43 (2010)
Green, T.M., Fisher, B., Jeong, D.H.: Towards the personal equation of interaction: The impact of personality factors on visual analytics interface interaction. In: Proceedings of IEEE Visual Analytics Science and Technology, Salt Lake City, UT, USA (2010)
Green, T.M., Fisher, B., Jeong, D.H.: The impact of personality factors on interface interaction and more robust user profiles: Next steps in the Personal Equation of Interaction. Journal of Management Information Systems, Special issue on Hawaii International Conference on System Sciences 43 (2010) (invited, under review)
Grimes, J.: On the failure to detect changes in scenes across saccades. In: Akins, K. (ed.) Perception (Vancouver Studies in Cognitive Science), vol. 2, pp. 89–110. Oxford University Press, New York (1996)
Heaven, P.C.L., Quintin, D.S.: Personality factors predict racial prejudice. Personality and Individual Differences 34, 625–634 (2002)
Heer, J., Agrawala, M.: Design considerations for collaborative visual analytics. In: IEEE Symposium on Visual Analytics Science and Technology. IEEE Computer Society Press, Sacramento (2007)
Jaskowski, S.: On the Rules of Suppositions in Formal Logic. In: Studia Logica v.1, Polish Logic 1920-1939, pp. 232–258. Oxford Univ. Press, Oxford (1934); Reprinted in S. McCall (1967)
Jeong, D.H., Green, T.M., Ribarsky, W., Chang, R.: Comparative Evaluation on Two Interface Tools in Performing Visual Analytics Tasks. In: Proceedings of BELIV Workshop, CHI 2010, Atlanta, GA, USA (2010)
Johnson-Laird, P.: How We Reason. Oxford University Press, Oxford (2008)
Kozielecki, J.: Elements of a psychological decision theory. Studia Psychologica 13(1), 53–60 (1971)
Marr, D.: Vision. MIT Press, Cambridge (1982)
Macia, A.: Visual perception of landscapes: Sex and personality differences. Our national landscape: A conference on applied techniques for analysis and management of the visual resource, General Technical Report PSW-35: 279-285 (1979)
North, C.: Toward measuring visualization insight. IEEE Computer Graphics and Applications 26(3), 6–9 (2006)
Palmer, J.: Scientists and information: II. Personal factors in information behaviour. Journal of Documentation 3, 254–275 (1991)
Plaisant, C., Grosjean, J., Bederson, B.B.: SpaceTree: Supporting exploration in large node-link tree: design evolution and empirical evaluation. In: Proceedings of IEEE Symposium on Information Visualization, pp. 57–64 (2002)
Plaisant, C.: The challenge of information visualization evaluation. In: Proceedings of the Working Conference on Advanced Visual Interfaces, Gallipoli, Italy (2004)
Pirolli, P., Card, C.: The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis. In: Proceedings of International Conference on Intelligence Analysis, McLean, VA, USA (2005)
Po, B., Fisher, B., Booth, K.S.: Pointing and Visual Feedback for Spatial Interaction in Large-Screen Display Environments. In: Butz, A., Krüger, A., Olivier, P. (eds.) SG 2003. LNCS, vol. 2733, Springer, Heidelberg (2003)
Rensink, R.A., O’Regan, J.K., Clark, J.J.: To see or not to see: The need for attention to perceive changes in scenes. Psychological Science 8, 368–373 (1997)
Rips, L.J.: Inductive judgments about natural categories. Journal of Verbal Learning and Verbal Behavior 14, 665–681 (1975)
Robinson, A.: Collaborative synthesis of visual analytic results. In: IEEE Visual Analytics Science and Technology, Columbus, OH USA, October 2008, pp. 67–74 (2008)
Rock, I.: The logic of perception. MIT Press/Bradford Books, Cambridge, MA (1985)
Ronan, G.F., Senn, J., Date, A., Maurer, L., House, K., Carroll, J., Vanhorn, R.: Personal problem solving scoring of TAT responses: Known groups validation. Journal of Personality Assessment 67 (1996)
Russel, D., Card, S.: The Cost of Sensemaking. In: Proceedings of Interact 1993 (1993)
Saraiya, P., North, C., Duca, K.: Evaluation of microarray visualization tools for biological insight. In: IEEE Symposium on Information Visualization, Austin, TX, USA, pp. 1–8 (2004)
Saraiya, P., North, C., Duca, K.: An Insight-Based Methodology for Evaluating Bioinformatics Visualizations. IEEE Transactions on Visualization and Computer Graphics 11, 443–456 (2005)
Sebeok, T.: You Know My Method. In: Sebeok, T. (ed.) The Play of Musement. Indiana, Bloomington (1981)
Shneiderman, B.: The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In: Proceedings of the IEEE Symposium on Visual Languages, Washington, DC, pp. 336–343. IEEE Computer Society Press, Los Alamitos (1996)
Spence, R.: InformationVisualization. Addison-Wesley, Reading (2001)
Springmeyer, R.R., Blattner, M.M., Marx, N.L.: A Characterization of the Scientific Data Analysis Process. Proceedings of IEEE Visualization, 1235–1242 (1992)
Stanovich, K.E., West, R.F.: Individual differences in reasoning: Implications for the rationality debate? Behavioral and Brain Sciences 23, 645–726 (2000)
Stanovich, K.E.: Who is rational? Studies of individual differences in reasoning. Erlbaum, Mahwah (1999)
Stasko, J., Gorg, C., Liu, Z., Singhal, K.: Jigsaw: Supporting Investigative Analysis through Interactive Visualization. In: Dill, J., Ribarsky, W. (eds.) Proceedings of 2007 IEEE Symposium on Visual Analytics Science and Technology, pp. 131–138. IEEE CS Press, Sacramento (2007)
Sternberg, R.J.: Intelligence, Information Processing and Analogical Reasoning. Erlbaum, Hillsdale (1977)
Sternberg, R.J., Gardner, M.K.: Unities in inductive reasoning. Journal of Experimental Psychology: General 112(1), 80–116 (1983)
Tversky, A.: Elimination by aspects: A theory of choice. Psychological Review 79, 281–299 (1972)
Wang, T.D., Plaisant, C., Quinn, A.J., Stanchak, R., Murphy, S., Shneiderman, B.: Aligning temporal data by sentinel events: discovering patterns in electronic health records. In: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, Florence, Italy, April 05-10 (2008)
Beth, E.W., Piaget, J.: Mathematical Epistemology and Psychology. D. Reidel, Dordrecht (1966)
Johnson-Laird, P.N.: Deductive Reasoning. Annual Review of Psychology 50, 109–135 (1999)
Johnson-Laird, P., Byrne, R.M.J.: Deduction. Psychology Press, San Diego (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 IFIP International Federation for Information Processing
About this paper
Cite this paper
Green, T.M., Fisher, B. (2011). The Personal Equation of Complex Individual Cognition during Visual Interface Interaction. In: Ebert, A., Dix, A., Gershon, N.D., Pohl, M. (eds) Human Aspects of Visualization. HCIV 2009. Lecture Notes in Computer Science, vol 6431. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19641-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-19641-6_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19640-9
Online ISBN: 978-3-642-19641-6
eBook Packages: Computer ScienceComputer Science (R0)