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A Socially Emotional Virtual Registrar Based on eBICA and Deep Learning

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dc.contributor.authorAnisimova, A. S.
dc.contributor.authorAnisimova,A.S.
dc.contributor.authorMikhnev, A. O.
dc.contributor.authorTsarkov, V. S.
dc.contributor.authorDolgikh, A. A.
dc.contributor.authorДолгих, Анатолий Андреевич
dc.contributor.authorСамсонович, Алексей Владимир
dc.date.accessioned2024-12-25T17:18:57Z
dc.date.available2024-12-25T17:18:57Z
dc.date.issued2022
dc.description.abstractVirtual embodied social agents are expected to become socially acceptable and useful for emotion regulation with applications in the field of service-oriented artificial intelligence. In this study an eBICA-based model of emotional interaction is used to control behavior of a virtual hotel receptionist: the Registrar, implemented in a virtual environment (VE) and in virtual reality (VR), using a multimodal user-computer interface. The two tasks for the registrar are (1) to perceive and characterize user s personality type and the emotional state based on user s behavior, and (2) to be able to establish and maintain a social contact with the user and to control user s emotions by selecting an appropriate behavior. These functions, first implemented in a cognitive model, then need to be transferred into a neural network using deep learning on model-generated data. Here the general concept of the system is described, and preliminary results are presented. The expected long-term impact includes new smart emotion regulation technologies and new feasible means for emotional communication with and via artifacts.
dc.format.extentС. 738-746
dc.identifier.citationA Socially Emotional Virtual Registrar Based on eBICA and Deep Learning / Anisimova, A. S. [et al.] // Procedia Computer Science. - 2022. - 213. - № C. - P. 738-746. - 10.1016/j.procs.2022.11.128
dc.identifier.doi10.1016/j.procs.2022.11.128
dc.identifier.urihttps://www.doi.org/10.1016/j.procs.2022.11.128
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85146116977&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/28264
dc.relation.ispartofProcedia Computer Science
dc.titleA Socially Emotional Virtual Registrar Based on eBICA and Deep Learning
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.issueC
oaire.citation.volume213
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