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Personal choice point: helping users visualize what it means to buy a BMW
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 8th international conference on Intelligent user interfaces table of contents
Miami, Florida, USA
SESSION: Full Technical Papers table of contents
Pages: 46 - 52  
Year of Publication: 2003
ISBN:1-58113-586-6
Authors
Andrew Fano  Accenture Technology Labs, Chicago, IL
Scott W. Kurth  Accenture Technology Labs, Chicago, IL
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 38,   Citation Count: 4
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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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Ha, V., and Haddawy, Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models. In Proceedings UAI97, pp 215--222, Aug 1997.
 
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Ha, V., and Haddawy, P. Toward Case-Based Preference Elicitation: Similarity Measures on Preference Structures In Proceedings UAI98, pp 193--201, July 1998.
 
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Keeney, R. L., and Raiffa, H. Decisions with Multiple Objectives. Cambridge University Press (1993).
 
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Miller, B., Riedl, J., and Konstan, J. Experiences with GroupLens: Making Usenet useful again. Proceedings of the 1997 Usenix Winter Technical Conference. Jan 1997.
 
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Veloso, M. M. Towards Mixed-Initiative Rationale-Supported Planning. In A. Tate (Ed.), Advanced Planning Technology. Menlo Park, CA: AAAI Press. 1996.


Collaborative Colleagues:
Andrew Fano: colleagues
Scott W. Kurth: colleagues