Take a look at the new version of this page: [ beta version ]. Tell us what you think.

ABSTRACT

How do we know if we can afford a particular purchase? We can find out what the payments might be and check our balances on various accounts, but does this answer the question? What we really need to know is how this purchase would affect our other goals. What do I have to give up to afford this purchase?Personal Choice Point is a financial planning tool that addresses these questions by enabling a user to explore the repercussions of her decisions at the level of her lifestyle goals, not just her accounts. The user is presented with a graphical representation of primary lifestyle goals such as home, car, vacation, education, etc. As the user selects goals and modifies them, it presents the impact on the users life by graphically depicting the impact of a decision on her other goals. In effect, Personal Choice Point is a planner that helps restrict the users search for a suitable allocation of resources among goals to the likely set of allocations, from the much larger space of possible ones. The result is a system that changes the focus of the users task from managing the mechanics of resource allocation to the evaluation and selection of likely ones

REFERENCES

• 1: Robin D. Burke , Kristian J. Hammond , Benjamin C. Young, The FindMe Approach to Assisted Browsing, IEEE Expert: Intelligent Systems and Their Applications, v.12 n.4, p.32-40, July 1997 [doi>10.1109/64.608186]
• 2: Ha, V., and Haddawy, Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models. In Proceedings UAI97, pp 215--222, Aug 1997.
• 3: Ha, V., and Haddawy, P. Toward Case-Based Preference Elicitation: Similarity Measures on Preference Structures In Proceedings UAI98, pp 193--201, July 1998.
• 4: Keeney, R. L., and Raiffa, H. Decisions with Multiple Objectives. Cambridge University Press (1993).
• 5: Yezdi Lashkari , Max Metral , Pattie Maes, Collaborative interface agents, Proceedings of the twelfth national conference on Artificial intelligence (vol. 1), p.444-449, October 1994, Seattle, Washington, United States
• 6: Miller, B., Riedl, J., and Konstan, J. Experiences with GroupLens: Making Usenet useful again. Proceedings of the 1997 Usenix Winter Technical Conference. Jan 1997.
• 7: Veloso, M. M. Towards Mixed-Initiative Rationale-Supported Planning. In A. Tate (Ed.), Advanced Planning Technology. Menlo Park, CA: AAAI Press. 1996.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
          Subjects: Interaction styles (e.g., commands, menus, forms, direct manipulation)

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.8 Problem Solving, Control Methods, and Search
          Subjects: Heuristic methods

  J. Computer Applications
  J.1 ADMINISTRATIVE DATA PROCESSING
      Subjects: Financial (e.g., EFTS)

General Terms:
Design

Keywords:
decision theory, financial planning, goal conflicts, personalization, recommendation systems, user modeling, visualization