Giuseppe Carenini
ABSTRACT
In this paper we propose ValueCharts, a set of visualizations and interactive techniques intended to support decision-makers in inspecting linear models of preferences and evaluation. Linear models are popular decision-making tools for individuals, groups and organizations. In Decision Analysis, they help the decision-maker analyze preferential choices under conflicting objectives. In Economics and the Social Sciences, similar models are devised to rank entities according to an evaluative index of interest. The fundamental goal of building models expressing preferences and evaluations is to help the decision-maker organize all the information relevant to a decision into a structure that can be effectively analyzed. However, as models and their domain of application grow in complexity, model analysis can become a very challenging task. We claim that ValueCharts will make the inspection and application of these models more natural and effective. We support our claim by showing how ValueCharts effectively enable a set of basic tasks that we argue are at the core of analyzing and understanding linear models of preferences and evaluation.
- Asahi, T., D. Turo, and B. Shneiderman, Using Treemaps to visualize the Analytic Hierarchy Process. Information Systems Research, 1995. 6(4): p. 357--375.Google Scholar
- Blythe, J. Visual Exploration and Incremental Utility Elicitation. in AAAI-02. 2002. Google ScholarDigital Library
- Bertin, J., Semiology of Graphics. 1983. Google ScholarDigital Library
- Card, S. K., J. D. Mackinlay, and B. Shneiderman, Readings in Information Visualization - Using Vision to Think. 1999: Morgan Kaufmann. Google ScholarDigital Library
- Clemen, R. T., Making Hard Decisions: an introduction to decision analysis. 1996, Belmont, California: Duxbury Press.Google Scholar
- Dyer, J. S., Remarks on the Analytic Hierarchy Process. Management Science, 1990. 36(3): p. 249--258. Google ScholarDigital Library
- Hammond, J. S., R. Keeney, and H. Raiffa, Smart Choices: a practical guide to making better decisions. 1999: Harvard Business School Press.Google Scholar
- Keeney, R. and H. Raiffa, Decision with multiple objectives: Preferences and value tradeoffs. 1976: Cambridge University Press.Google Scholar
- Keeney, R. L., Value-Focused Thinking: A Path to Creative Decision Making. 1992: Harvard University Press.Google Scholar
- Kosslyn, S. M., Elements of Graph design. 1994.Google Scholar
- Payne, J. W., J. R. Bettman, and D. A. Schkade, Measuring Constructed Preference: Towards a Building Code. Journal of Risk and Uncertainty, 1999. 19(1): p. 243--270.Google Scholar
- Pu, P. and B. Faltings. Enriching buyers' experiences: the SmartClient approach. in CHI. 2000. The Hague, Amsterdam: ACM. Google ScholarDigital Library
- Rao, R. and S. K. Card, The Table Lens: Merging Graphical and Symbolic Representation in an Interactive Focus+Context Visualization for tabular Information, in Proceedings of the CHI '94 Conference. 1994: Boston, MA, USA. p. 318--322. Google ScholarDigital Library
- Saaty, T. L., The Analytic Hierarchy Process. 1980, New York: McGraw-Hill.Google Scholar
- Spence, R. and L. Tweedie, The Attribute Explorer: information synthesis via exploration. Interacting with Computers, 1998. 11: p. 137--146.Google Scholar
- Todd, P. and I. Benbasat, An Experimental investigation of the Impact of Computer Based Decision Aids on Decision making Strategies. Information Systems Research, 1991. 2(2): p. 87--115.Google Scholar
- Todd, P. and I. Benbasat, Inducing Compensatory Information Processing through Decision Aids that Facilitate Effort Reduction: An Experimental Assessment. Journal of Behavioral Decision Making, 2000. 13: p. 91--106.Google Scholar
- Williamson, C. and B. Shneiderman. The Dynamic HomeFinder: Evaluating Dynamic Queries in a Real-Estate Information Exploration System. in ACM SIGIR. 1992. Google ScholarDigital Library
- Wittenburg, K., T. Lanning, M. Heinrichs, and M. Stanton. Parallel Bargrams for Consumer-based Information Exploration and Choice. in UIST. 2001. Orlando, FL. Google ScholarDigital Library
Index Terms
- ValueCharts: analyzing linear models expressing preferences and evaluations
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