Matches in SemOpenAlex for { <https://semopenalex.org/work/W2754588217> ?p ?o ?g. }
- W2754588217 endingPage "598" @default.
- W2754588217 startingPage "585" @default.
- W2754588217 abstract "In many applications, Embodied Conversational Agents (ECAs) must be able to express various affects such as emotions or social attitudes. Non-verbal signals, such as smiles or gestures, contribute to the expression of attitudes. Social attitudes affect the whole behavior of a person: they are “characteristic of an affective style that colors the entire interaction” [1] . Moreover, recent findings have demonstrated that non-verbal signals are not interpreted in isolation but along with surrounding signals. Non-verbal behavior planning models designed to allow ECAs to express attitudes should thus consider complete sequences of non-verbal signals and not only signals independently of one another. However, existing models do not take this into account, or in a limited manner. The contribution of this paper is a methodology for the automatic extraction of sequences of non-verbal signals characteristic of a social phenomenon from a multimodal corpus, and a non-verbal behavior planning model that takes into account sequences of non-verbal signals rather than signals independently. This methodology is applied to design a virtual recruiter capable of expressing social attitudes, which is then evaluated in and out of an interaction context." @default.
- W2754588217 created "2017-09-25" @default.
- W2754588217 creator A5058798824 @default.
- W2754588217 creator A5079026902 @default.
- W2754588217 creator A5081791777 @default.
- W2754588217 date "2019-10-01" @default.
- W2754588217 modified "2023-10-16" @default.
- W2754588217 title "A Methodology for the Automatic Extraction and Generation of Non-Verbal Signals Sequences Conveying Interpersonal Attitudes" @default.
- W2754588217 cites W121725841 @default.
- W2754588217 cites W1480998498 @default.
- W2754588217 cites W1490239928 @default.
- W2754588217 cites W1507065409 @default.
- W2754588217 cites W1565485128 @default.
- W2754588217 cites W1591160560 @default.
- W2754588217 cites W1591256029 @default.
- W2754588217 cites W1619539236 @default.
- W2754588217 cites W1641039719 @default.
- W2754588217 cites W1906065996 @default.
- W2754588217 cites W1967880820 @default.
- W2754588217 cites W1968733940 @default.
- W2754588217 cites W1978650987 @default.
- W2754588217 cites W1980373390 @default.
- W2754588217 cites W1985479696 @default.
- W2754588217 cites W1985945240 @default.
- W2754588217 cites W1992672921 @default.
- W2754588217 cites W2013335684 @default.
- W2754588217 cites W2023670049 @default.
- W2754588217 cites W2029397690 @default.
- W2754588217 cites W2039011330 @default.
- W2754588217 cites W2040238515 @default.
- W2754588217 cites W2041680275 @default.
- W2754588217 cites W2041996544 @default.
- W2754588217 cites W2049900117 @default.
- W2754588217 cites W2055161924 @default.
- W2754588217 cites W2057409323 @default.
- W2754588217 cites W2058495746 @default.
- W2754588217 cites W2059546927 @default.
- W2754588217 cites W2067560177 @default.
- W2754588217 cites W2073305195 @default.
- W2754588217 cites W2075368923 @default.
- W2754588217 cites W2075634086 @default.
- W2754588217 cites W2077517236 @default.
- W2754588217 cites W2080699385 @default.
- W2754588217 cites W2081457542 @default.
- W2754588217 cites W2086875012 @default.
- W2754588217 cites W2093085958 @default.
- W2754588217 cites W2102515373 @default.
- W2754588217 cites W2102998034 @default.
- W2754588217 cites W2105371764 @default.
- W2754588217 cites W2118364426 @default.
- W2754588217 cites W2126822690 @default.
- W2754588217 cites W2132947339 @default.
- W2754588217 cites W2133990480 @default.
- W2754588217 cites W2141608182 @default.
- W2754588217 cites W2143900517 @default.
- W2754588217 cites W2148338187 @default.
- W2754588217 cites W2151363564 @default.
- W2754588217 cites W2152969724 @default.
- W2754588217 cites W2155702796 @default.
- W2754588217 cites W2161676006 @default.
- W2754588217 cites W2166723674 @default.
- W2754588217 cites W2170085344 @default.
- W2754588217 cites W2266643658 @default.
- W2754588217 cites W2505005027 @default.
- W2754588217 cites W2548862549 @default.
- W2754588217 cites W2911776943 @default.
- W2754588217 cites W2986302981 @default.
- W2754588217 cites W32003796 @default.
- W2754588217 cites W4211153864 @default.
- W2754588217 cites W4298213508 @default.
- W2754588217 cites W70343884 @default.
- W2754588217 cites W83808262 @default.
- W2754588217 doi "https://doi.org/10.1109/taffc.2017.2753777" @default.
- W2754588217 hasPublicationYear "2019" @default.
- W2754588217 type Work @default.
- W2754588217 sameAs 2754588217 @default.
- W2754588217 citedByCount "5" @default.
- W2754588217 countsByYear W27545882172018 @default.
- W2754588217 countsByYear W27545882172021 @default.
- W2754588217 countsByYear W27545882172022 @default.
- W2754588217 crossrefType "journal-article" @default.
- W2754588217 hasAuthorship W2754588217A5058798824 @default.
- W2754588217 hasAuthorship W2754588217A5079026902 @default.
- W2754588217 hasAuthorship W2754588217A5081791777 @default.
- W2754588217 hasBestOaLocation W27545882172 @default.
- W2754588217 hasConcept C100609095 @default.
- W2754588217 hasConcept C145633318 @default.
- W2754588217 hasConcept C151730666 @default.
- W2754588217 hasConcept C154945302 @default.
- W2754588217 hasConcept C15744967 @default.
- W2754588217 hasConcept C164850336 @default.
- W2754588217 hasConcept C180747234 @default.
- W2754588217 hasConcept C195704467 @default.
- W2754588217 hasConcept C207347870 @default.
- W2754588217 hasConcept C2775941552 @default.
- W2754588217 hasConcept C2776035688 @default.
- W2754588217 hasConcept C2779343474 @default.
- W2754588217 hasConcept C2992801459 @default.