Acknowledge of Emotions for Improving Student-Robot Interaction
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Dosyalar
Tarih
2023-05-25
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TECH SCIENCE PRESS
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Robot companions will soon be part of our everyday life and students in the engineering faculty must be trained to design, build, and interact with them. The two affordable robots presented in this paper have been designed and constructed by two undergraduate students; one artifi-cial agent is based on the Nvidia Jetson Nano development board and the other one on a remote computer system. Moreover, the robots have been refined with an empathetic system, to make them more user-friendly. Since automatic facial expression recognition skills is a necessary pre-processing step for acknowledging emotions, this paper tested different variations of Convolutional Neural Networks (CNN) to detect the six facial expressions plus the neutral face. The state-of-the-art performance of 75.1% on the Facial Expression Recognition (FER) 2013 database has been reached by the ensemble voting method. The runner-up model is the Visual Geometry Group (VGG) 16 which has been adopted by the two robots to recognize the expressions of the human partner and behave accordingly. An empirical study run among 55 university students confirmed the hypothesis that contact with empathetic artificial agents contributes to increasing the acceptance rate of robots
Açıklama
Anahtar Kelimeler
CHALLENGES, Artificial intelligence, deep learning, convolutional neural networks, facial expression recognition, robotics, education, professional learning
Kaynak
INTELLIGENT AUTOMATION AND SOFT COMPUTING
WoS Q Değeri
Q3
