2022.03.01 陳昭潔報告 – Algorithmic Perfumery

Algorithmic Perfumery– ARS Electronica 2019, Interactive Art+

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Authors – Frederik Duerinck

Abstract –In Algorithmic Perfumery, the world of scent is explored by using the visitor’s input to train the creative capabilities of an automated system. Custom scents are created by a machine learning algorithm based on the unique data we feed it. The outcome is a unique scent generated and compounded on- site. By participating in the experience, visitors contribute to the on-going research to improve the system and reinvent the future of perfumery. Generative perfume design is the emergence of the not too distant future. Algorithmic Perfumery not only ignites the senses, it also allows participants to walk away with a tangible and usable memory of the work. Individuals may complete a personality test lasting about 15 minutes, composed of standard questions and a few more focused on scent preference. After the participants’ answers are compiled, a code is generated. You proceed to a contraption lined with tubes of concentrates, type in your code, and the machine proceeds to mix the concentrates in amounts based on the data provided. And at the end of the assembly line, a small sample vial of your individually crafted scent awaits you. You may then review your feelings about the scent, and in this way the A.I. learns and refines its scent crafting abilities. An inspiringly unique approach to a seldom represented creative process, Algorithmic Perfumery is indicative of the cohesive future between human ability and technological potential.

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