This work approach the use of noise-based inverse correlation analysis technique in the field of industrial product assessment. This technique identifies the elements of an image that contribute in the judgment that an observer makes on it, and has been used especially in face analysis. The proposal of this work is to apply the same technique on product images and verify if it is possible to use it as an evaluation tool that helps identify the formal characteristics of a product that most contribute to its perception. This communication shows the procedure used and the results obtained.

Comunicación presentada en el 24th International congress on project management and engineering, celebrado en modalidad virtual del 7 al 10 de julio de 2020.