COMIND: Computer Aided Creativity and Multicriteria Optimization in Design

October 30, 2013
Title: COMIND: Computer Aided Creativity and Multicriteria Optimization in Design
Dates: 1995 – 1999
Researchers: Denis Lalanne and Pearl Pu
Keywords: creative design, human-computer collaboration, visualization, multicriteria tradeoff, Intelligence Artificielle
Abstract: COMIND helps designers search for consistent and optimal configurations of design parameters. This is built as a generic search and decision tool for any types of configuration tasks. Two fundamental processes are studied in this project: over-constrained problem where some preference and criteria must be taken out or relaxed in order for search to generate any solutions; and under-constrained problem where there are too many solutions thus additional criteria must be elicited from users to perform tradeoff analysis. After we introduced some algorithms to resolve conflicts and perform tradeoff analysis, we found that users are still not very motivated to make decisions about preferences and criteria. We then investigated visualization techniques to further enhance the decision context for users to more optimally determine the right criteria to relax, or to choose the solution using human criteria.
Sponsor: Swiss National Science Foundation
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