Design and Implementation of Telemarketing Robot with Emotion Identification for Human-Robot Interaction

Diego Arce,Jose Balbuena,Daniel Menacho, Luis Caballero, Enzo Cisneros,Dario Huanca, Marcelo Alvites,Cesar Beltran,Francisco Cuellar

2022 Sixth IEEE International Conference on Robotic Computing (IRC)(2022)

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Abstract
This work presents the design, development and preliminary tests of an innovative mobile robot which interact with humans for marketing, advertising and customer services. The proposed robot can be use for various activities related to human-robot interaction (conferences, plant visits, marketing, advertising, supervision). The robot has multiple sensors in order to evaluate the personal space of customers. It also includes display touch screens in order to achieve an emphatic interaction and provide personalized attention. An emotion classification algorithm was implemented aiming to analyze how the customer reacts to the advertisements that appear on the screens, and modify its response accordingly. The robot functionalities and interaction capabilities were validated using a prototype. The results demonstrate a good assessment regarding reliability, usability and performance, and measured a positive emotional response from the participants.
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Key words
mobile robot,deep learning,Human-robot interaction,emotion classification
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