Product Aesthetic Design: A Machine Learning Augmentation

The authors thank Jeff Hartley, John Manoogian II, Andrew Norton, Joyce Salisbury, Zheng Shen, and Sharon Sheremet for valuable insights into how product aesthetics are designed and evaluated; Mark Beltramo, Remi Daviet, Fred Feinberg, Ari Helljaka, Honglak Lee, Ye Liu, and Yanxin Pan for mathematical modeling discussion; and Emrah Bayrak, Songting Dong, Dean Eckles, Nasreddine El Dehaibi, Ryan Dew, Siham El Kihal, Gui Liberali, Erin MacDonald, Ye Liu, Max Yi Ren, and Glen Urban for helpful comments and suggestions. A. Burnap received support from General Motors to partially fund a postdoctoral research position for the research conducted in this work. He certifies that none of the research or its results were censored or obfuscated in its publication. J. Hauser and A. Timoshenko certify that they have no affiliations with or involvement in any organization or entity with any financial interest or nonfinancial interest in the subject matter or materials discussed in this manuscript.