Towards a New Computational Affective System for Personal Assistive Robots

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dc.authoridBarkana, Duygun Erol/0000-0002-8929-0459|Kose, Hatice/0000-0003-4796-4766|Battini Sonmez, Elena/0000-0003-0090-984X
dc.authorwosidBarkana, Duygun Erol/N-2285-2018
dc.authorwosidKose, Hatice/C-6322-2013
dc.authorwosidBattini Sonmez, Elena/AAZ-6358-2021
dc.contributor.authorSonmez, Elena Battini
dc.contributor.authorKose, Hatice
dc.contributor.authorBarkana, Duygun Erol
dc.date.accessioned2024-07-18T20:47:27Z
dc.date.available2024-07-18T20:47:27Z
dc.date.issued2020
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORKen_US
dc.description.abstractThe need of social interaction between human and robot is extensively highlighted in recent studies involving social robots. Language, emotions, postures, and gestures are commonly used to increase the quality of human-computer interaction. In this study, we focus on the design of a cognitive architecture to model the emotions and the dynamics of them to implement artificial empathy during human-computer interaction. Human-like empathy is considered as an emergent behavior based on social interaction with humans, gut feelings, mirroring system, and association between external stimuli and emotions in the developmental robotics theory. Our study uses developmental robotics theory and it presents a simulation of the internal emotional states of an agent/robot. Furthermore, our study demonstrates a model of the changes of the affective state of the robot from one emotion to another, in synchronization with the emotions expressed by its human partner. The robot can adjust its inner state and mood in harmony to the emotional state of the human partner after training. The simulations are performed and the proposed computational affective system is evaluated by the human participants subjectively.en_US
dc.description.sponsorshipIstanbul Medipol Univen_US
dc.description.sponsorshipTUBITAK [118E214]; Bilgi University Grand foundation; Turkish Academy of Sciences in scheme of the Outstanding Young Scientist Award (TUBA-GEBIP)en_US
dc.description.sponsorshipThis research is supported by TUBITAK under the contract 118E214; Bilgi University Grand foundation and Turkish Academy of Sciences in scheme of the Outstanding Young Scientist Award (TUBA-GEBIP).en_US
dc.identifier.doi10.1109/siu49456.2020.9302238
dc.identifier.isbn978-1-7281-7206-4
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85100292356en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/siu49456.2020.9302238
dc.identifier.urihttps://hdl.handle.net/11411/7786
dc.identifier.wosWOS:000653136100212en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2020 28th Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAffective Computingen_US
dc.subjectVirtual Humanen_US
dc.subjectFacial Expressionen_US
dc.subjectEmotion Recognitionen_US
dc.subjectCore Affecten_US
dc.subjectEmotionen_US
dc.titleTowards a New Computational Affective System for Personal Assistive Robotsen_US
dc.typeConference Objecten_US

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