Detecting Design Trends Using Perceptive Tests Based on an Interactive Genetic Algorithm

Abstract

To avoid flops, the control of the risks in product innovation and the reduction of the innovation cycles require valid and fast customer’s assessments. An Interactive Genetic algorithm is proposed for eliciting user’s perceptions concerning the shape of a product, in order to stimulate creativity and detecting design trends. Interactive users’ assessment tests are conducted on virtual products, for capturing and analyzing users’ responses. The IGA is interfaced with a CAD software (CATIA V5) and allows the creation in real time of a set of parameterized designs, which are presented iteratively by a graphical interface to the user for evaluation. After a description of the IGA, we present a study on the convergence of the IGA, according to the tuning parameters of the algorithm and the size of the design problem. An experiment was carried out with a set of 20 users on a particular product, table glasses. We describe the implementation of the perceptive tests and an analysis of the results. These results show how the IGA can be used to elicit user perception and detecting design trends.

A genetic approach for the interactive design of sounds: Application to electric vehicles

“…This method has been used for example to capture aesthetic intention of participants for the design of cartoons (Gu et al, 2006), car silhouettes (Yannou et al, 2008) or for preference modeling (Kelly et al, 2011). IGA have also been tested in our previous studies for the design of drinking glasses (Poirson et al, 2011) or car dashboards (Poirson et al, 2013) which have confirmed their utility in extracting designs trends and to obtain a final product solution that optimizes a determined semantic dimension. IGA have the great advantage of not needing restrictive assumptions concerning the preference model of the participant.…”