Sensing, smart and sustainable product analysis methodology through EEG evaluation

© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.Thanks to the technological proliferation of digital platforms, the amount of people that shares content regarding any topic has increased considerably. This phenomenon has allowed fashion and product designers to promote their merchandise more easily. However, these approaches require new methodologies for developing their products, as well as consider the sustainable aspects in their campaigns. In the era of Information 4.0, it is possible to create a product that is customized to the user's needs by following a sensing, smart and sustainable S3 paradigm. This paper proposes a product analysis methodology for the fashion industry, based on the S3 model, for evaluating how useful internet videos influence the customer's emotional response and the tendency for using certain products. All of this while analyzing their responses through monitoring their brain activity during the view of the videos using electroencephalography (EEG) readings, and the emotional response they generate in them by implementing the¿Emocard¿ model, all of this to analyze the media influence for using or not the promoted product.

Sensing, smart and sustainable product analysis methodology through EEG evaluation Academic Article in Scopus