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ICED 11
Papers

DESIGN PREFERENCE ELICITATION: EXPLORATION AND LEARNING

DESIGN PREFERENCE ELICITATION: EXPLORATION AND LEARNING

Year: 2011

Section: Design Methods and Tools Part 2

Editor: Culley, S.J.; Hicks, B.J.; McAloone, T.C.; Howard, T.J. & Dong, A.

Author: Ren, Yi; Papalambros, Panos

Section: Design Methods and Tools Part 2

Pages: 149-158

Abstract

We study design preference elicitation, namely discovery of an individual’s design preferences, through human-computer interactions. In each interaction, the computer presents a set of designs to the human subject who is then asked to pick preferred designs from the set. The computer learns from this feedback in a cumulative fashion and creates new sets of designs to query the subject. Under the hypothesis that human responses are deterministic, we investigate two interaction algorithms, namely, evolutionary and statistical learning-based, for converging the elicitation process to near-optimally preferred designs. We apply the process to visual preferences for three-dimensional automobile exterior shapes. Evolutionary methods can be useful for design exploration, but learning-based methods have a stronger theoretical foundation and are more successful in eliciting subject preferences efficiently.

Keywords: STATISTICAL LEARNING; GENETIC ALGORITHM; DESIGN PREFERENCE ELICITATION; ACTIVE LEARNING

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ds conferenceICED11: 18th International Conference on Engineering Design

ICED11: 18th International Conference on Engineering DesignThe Design Society and The Technical University of Denmark (DTU) cordially invite you to participate in the International Conference on Engineering Design, ICED11! The conference will be held in the beautiful city of Copenhagen, where we are preparing an exciting programme, cultural experience and fun social backdrop for the conference and connected workshops. The conference headline is: Impacting Society Through Engineering Design Design has a central role in bringing engineering and technology...

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SIG Workshop - March 2013 - 1