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Virtual Listener: Emotionally-Intelligent Assistant Based on a Cognitive Architecture

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dc.contributor.authorEidlin, A. A.
dc.contributor.authorChubarov, A. A.
dc.contributor.authorSamsonovich, A. V.
dc.contributor.authorСамсонович, Алексей Владимир
dc.date.accessioned2024-11-25T14:45:23Z
dc.date.available2024-11-25T14:45:23Z
dc.date.issued2020
dc.description.abstract© 2020, Springer Nature Switzerland AG.This work is devoted to the development of a concept-proof prototype of a special kind of a virtual actor - an intelligent assistant and a partner, called here “Virtual Listener” (VL). The main role of VL is to establish and maintain a socially-emotional contact with the participant, thereby providing a feedback to the human performance, using minimal resources, such as body language and mimics. This sort of a personal assistant is intended for a broad spectrum of application paradigms, from assistance in preparation of lectures to creation of art and design, insight problem solving, and more, and is virtually extendable to assistance in any professional job performance. The key new element is the interface based on facial expressions. The concept is implemented and tested in limited prototypes. Implications for future human-level artificial intelligence are discussed.
dc.format.extentС. 73-82
dc.identifier.citationEidlin, A. A. Virtual Listener: Emotionally-Intelligent Assistant Based on a Cognitive Architecture / Eidlin, A.A., Chubarov, A.A., Samsonovich, A.V. // Advances in Intelligent Systems and Computing. - 2020. - 948. - P. 73-82. - 10.1007/978-3-030-25719-4_10
dc.identifier.doi10.1007/978-3-030-25719-4_10
dc.identifier.urihttps://www.doi.org/10.1007/978-3-030-25719-4_10
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85070217640&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/19995
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.titleVirtual Listener: Emotionally-Intelligent Assistant Based on a Cognitive Architecture
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume948
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relation.isAuthorOfPublication.latestForDiscovery424d77f0-6c5e-4d4b-b473-a29e8ac49488
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