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IJAT Vol.12 No.3 pp. 319-326
doi: 10.20965/ijat.2018.p0319
(2018)

Paper:

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

Corresponding author

Received:
October 13, 2017
Accepted:
January 24, 2018
Online released:
May 1, 2018
Published:
May 5, 2018
Keywords:
methods for CX, shopping experience, context-aware computing, emotion recognition
Abstract

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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Cite this article as:
Silvia Ceccacci, Andrea Generosi, Luca Giraldi, and Maura Mengoni, “Tool to Make Shopping Experience Responsive to Customer Emotions,” Int. J. Automation Technol., Vol.12, No.3, pp. 319-326, 2018
Silvia Ceccacci, Andrea Generosi, Luca Giraldi, and Maura Mengoni, Int. J. Automation Technol., Vol.12, No.3, pp. 319-326, 2018

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Last updated on May. 19, 2018