Acknowledge of Emotions for Improving Student-Robot Interaction

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dc.authorid0000-0002-7105-4351en_US
dc.contributor.authorHan, Hasan
dc.contributor.authorKaradeniz, Oğuzcan
dc.contributor.authorDalyan, Tuğba
dc.contributor.authorSönmez, Elena Battini
dc.contributor.authorSarıoğlu, Baykal
dc.date.accessioned2023-09-14T07:07:45Z
dc.date.available2023-09-14T07:07:45Z
dc.date.issued2023-05-25
dc.description.abstractRobot 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 robotsen_US
dc.fullTextLevelFull Texten_US
dc.identifier.doi10.32604/iasc.2023.030674en_US
dc.identifier.issn2326-005X
dc.identifier.issn1079-8587
dc.identifier.scopus2-s2.0-85163280608en_US
dc.identifier.urihttps://hdl.handle.net/11411/5180
dc.identifier.urihttps://doi.org/10.32604/iasc.2023.030674
dc.identifier.wosWOS:000992836700035en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.issue1en_US
dc.language.isoenen_US
dc.nationalInternationalen_US
dc.numberofauthors5en_US
dc.pages1209-1224en_US
dc.publisherTECH SCIENCE PRESSen_US
dc.relation.ispartofINTELLIGENT AUTOMATION AND SOFT COMPUTINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCHALLENGESen_US
dc.subjectArtificial intelligenceen_US
dc.subjectdeep learningen_US
dc.subjectconvolutional neural networksen_US
dc.subjectfacial expression recognitionen_US
dc.subjectroboticsen_US
dc.subjecteducationen_US
dc.subjectprofessional learningen_US
dc.titleAcknowledge of Emotions for Improving Student-Robot Interactionen_US
dc.typeArticleen_US
dc.volume37en_US

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