Tool to Make Shopping Experience Responsive to Customer Emotions
Silvia Ceccacci†, Andrea Generosi, Luca Giraldi, and Maura Mengoni
Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche
12 Via Brecce Bianche, Ancona 60133, Italy
This research aims to develop a system that examines and reacts to the changing behaviors and emotions of individuals in order to improve their shopping experience. The system is able to track emotions in real time at different touchpoints in a store and control a set of networked devices to configure the sensing space and all provided services responsive to the customers’ needs. This paper describes the general approach adopted to design the overall system and illustrates in detail the module prototyped to understand the users’ emotions through the analysis of facial expressions.
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