A visual preference-modeling and decision-support technique for buyers of multi-attribute products

Authors:
Gaurav Tewari;Pattie Maes;Dan Ariely
Affiliations:
MIT Media Lab, Cambridge, MA;MIT Media Lab, Cambridge, MA;MIT Sloan School of Management, Cambridge, MA
Venue:
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Year:
2001

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Design and implementation of an agent-based intermediary infrastructure for electronic markets

Proceedings of the 2nd ACM conference on Electronic commerce

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Abstract

We describe an intuitive, visual technique by which buyers of multi-attribute goods and services in electronic marketplaces can express their preferences, and receive real-time feedback about which transaction partners can most suitably meet their needs. Our work embodies a novel approach towards the visualization and conceptualization of multi-attribute spaces. Our system gives users the option of being able to iteratively refine their preferences based upon dynamically generated decision-support feedback.