Yale’s Alex Burnap on machine learning for aesthetic design.
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What does it take to design appealing consumer products? For decades, manufacturers of everything from motor vehicles to laundry detergent have used market research tools such as focus groups to discover what consumers want. And it’s always been an expensive and uncertain tool for product designers.
Yale School of Management Professor Alex Burnap thinks that this area is ripe for the deployment of machine learning, and has co-authored a paper describing an AI path forward for aesthetic design. Dr. Burnap previously worked in product research at General Motors, completed a postdoc at the MIT Sloan School of Management, and holds a doctorate and MS in mechanical engineering from the University of Michigan.
He spoke about the paper, and the future, with engineering.com’s Jim Anderton.
Read Dr. Burnap et al’s paper: https://pubsonline.informs.org/doi/10.1287/mksc.2022.1429
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