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Published in:
2014 | OriginalPaper | Chapter
A Proposal for User’s Intervention in Interactive Evolutionary Computation for Optimizing Fragrance Composition
Authors : Makoto Fukumoto, Shimpei Koga
Published in: HCI International 2014 - Posters’ Extended Abstracts
Publisher: Springer International Publishing
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Fragrance is one of important media types that effect on our psycho-physiological states. However, adjustment of fragrance composition is difficult for most of users. Interactive Evolutionary Computation (IEC) is known as an efficient method to optimize media contents, and we have already proposed IECs for optimizing fragrance composition. To enhance the optimization ability of IEC, some previous studies proposed that IEC accepts user’s active intervention as operations on solution candidate. Referring to these previous studies, this study proposes a new IEC for optimizing fragrance composition with user’s intervention. While the user just evaluates the presented fragrance with scoring or comparison in the conventional IECs, the user not only evaluates the fragrance but also operates the composition in the proposed IEC. The user’s intervention is performed on solution candidate directly. In construction of the system, Aromageur, which blends six aroma sources, is used to create the fragrance based on the composition.