Make It Feel: Use of Facial Imaging Technique to Analyze the Impact of Each Emotional Spot on Ad Success

we propose to lay the foundation of an automated method for classifying impact of various emotional spots on advertisement success. This approach is based on analyzing various muscles activated while making a facial expression in response to certain ad. Each emotion has its own impact on consumers and every emotional spot can help to increase sales. Certain types of emotion are better able to fulfill the purpose and meet the goal of persuading targeted consumers for buying a product than others. The challenge is to analyze which emotion creates consumer engagement with the product and deliver that emotion for creating a brand image. This is a very challenging pattern recognition problem that requires robust detection of various natural, spontaneous expressions and their intensities in real time environment. This paper demonstrates the possibility for an ecologically valid, subtle evaluation of advertisement success, strong speculation of brand building based on facial responses. The framework can be successfully implemented impersonalizing online ads that are shown to viewers while watching media over the Internet or television and in concept testing in order to know what customers´ values and what they don´t.