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Acknowledge of Emotions for Improving Student-Robot Interaction

Intelligent Automation & Soft Computing 2023年第7期37卷 1209-1224页

作者： Hasan Han Oguzcan Karadeniz Tugba Dalyan Elena Battini Sonmez baykal sarioglu Department of Electrical and Electronics Engineering Istanbul Bilgi UniversityIstanbul34060Turkey Department of Computer Engineering Istanbul Bilgi UniversityIstanbul34060Turkey

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 *** 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 ***,the robots have been refined with an empathetic system,to make them more *** 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 *** state-of-the-art performance of 75.1%on the Facial Expression Recognition(FER)2013 database has been reached by the ensemble voting *** 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 *** empirical study run among 55 university students confirmed the hypothesis that contact with empathetic artificial agents contributes to increasing the acceptance rate of robots.

关键词： Artificial intelligence deep learning convolutional neural networks facial expression recognition robotics education professional learning

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