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dc.rights.licenseopenen_US
dc.contributor.authorCÁRDENAS, Pedro
dc.contributor.authorGARCÍA, José
dc.contributor.authorBEGAZO, Rolinson
dc.contributor.authorAGUILERA, Ana
hal.structure.identifierESTIA - Institute of technology [ESTIA]
dc.contributor.authorDONGO, Irvin
dc.contributor.authorCARDINALE, Yudith
dc.date.accessioned2025-03-03T16:51:45Z
dc.date.available2025-03-03T16:51:45Z
dc.date.issued2024-09-30
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/205329
dc.description.abstractEnEmotion recognition has fostered more suitable and effective human–robot interaction (HRI). In particular, social robots have to imitate the expression of feeling through their voices and body gestures in order to ameliorate this interaction. However, robot’s hardware limitations (few joints and computational resources) may restrict the quality of robot’s expressions. To contribute to this area, we conducted a study on how emotions are expressed by humans through gestures, body language, and movements. This study allows understanding universal representation of emotions (movements and gestures) and designing similar movements for robots, despite their hardware limitations. Based on that, we develop and evaluate an emotional interaction system for robots, specifically for Pepper robot. This system utilizes verbal emotion recognition, based on deep learning techniques to interpret and respond withmovements and emojis, thus enriching the dynamics of HRI.We implemented two versions of such as interaction system: on board implementation (the emotion recognition process is executed by the robot) and a server-based implementation (the emotion recognition is performed by an external server connected to the robot). We assessed the performance of both versions, as well as the acceptance of robot expressions for HRI. Results show that the combined use of emotional movements and emojis by robot significantly improves the accuracy of emotional conveyance.
dc.language.isoENen_US
dc.subject.enSocial robotics
dc.subject.enHuman–robot interaction
dc.subject.enEmotional movements
dc.subject.enEmotion perception
dc.subject.enHumanoid robots
dc.titleEvaluation of Robot Emotion Expressions for Human–Robot Interaction
dc.title.alternativeInt J of Soc Roboticsen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s12369-024-01167-5en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
dc.subject.halSciences de l'Homme et Sociétéen_US
bordeaux.journalInternational Journal of Social Roboticsen_US
bordeaux.page2019-2041en_US
bordeaux.volume16en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.issue9-10en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcecrossref
hal.identifierhal-04974923
hal.version1
hal.date.transferred2025-03-03T16:51:47Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcecrossref
dc.rights.ccPas de Licence CCen_US
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