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Multifaceted engagement in social interaction with a machine: the JOKER project

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dc.contributor.coauthorDevillers, Laurence
dc.contributor.coauthorRosset, Sophie
dc.contributor.coauthorDuplessis, Guillaume Dubuisson
dc.contributor.coauthorBechade, Lucile
dc.contributor.coauthorEl Haddad, Kevin
dc.contributor.coauthorDupont, Stephane
dc.contributor.coauthorDeleglise, Paul
dc.contributor.coauthorEsteve, Yannick
dc.contributor.coauthorLailler, Carole
dc.contributor.coauthorGilmartin, Emer
dc.contributor.coauthorCampbell, Nick
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorErzin, Engin
dc.contributor.kuauthorSezgin, Tevfik Metin
dc.contributor.kuauthorTürker, Bekir Berker
dc.contributor.kuauthorYemez, Yücel
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T12:41:02Z
dc.date.issued2018
dc.description.abstractThis paper addresses the problem of evaluating engagement of the human participant by combining verbal and nonverbal behaviour along with contextual information. This study will be carried out through four different corpora. Four different systems designed to explore essential and complementary aspects of the JOKER system in terms of paralinguistic/linguistic inputs were used for the data collection. An annotation scheme dedicated to the labeling of verbal and non-verbal behavior have been designed. From our experiment, engagement in HRI should be multifaceted.
dc.description.fulltextYES
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuEU - TÜBİTAK
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TÜBİTAK)
dc.description.sponsorshipEuropean Union (European Union)
dc.description.sponsorshipERA-Net CHISTERA
dc.description.sponsorshipAgence Nationale pour la Recherche (ANR, France)
dc.description.sponsorshipFonds National de la Recherche Scientifique (FNRS, Belgium)
dc.description.sponsorshipIrish Research Council (IRC, Ireland)
dc.description.versionAuthor's final manuscript
dc.identifier.doi10.1109/FG.2018.00110
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR01908
dc.identifier.isbn9781538623350
dc.identifier.issn2326-5396
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85049408261
dc.identifier.urihttps://hdl.handle.net/20.500.14288/2227
dc.identifier.wos454996700100
dc.keywordsHuman-Robot interaction
dc.keywordsDataset
dc.keywordsEngagement
dc.keywordsSpeech recognition
dc.keywordsAffective computing
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.grantno1.79769313486232E+308
dc.relation.ispartofProceedings of 2018 13TH IEEE International Conference on Automotic Face and Gesture Recognition (FG 2018)
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/8592
dc.subjectComputer science, artificial intelligence
dc.subjectEngineering, electrical and electronic
dc.titleMultifaceted engagement in social interaction with a machine: the JOKER project
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorErzin, Engin
local.contributor.kuauthorYemez, Yücel
local.contributor.kuauthorTürker, Bekir Berker
local.contributor.kuauthorSezgin, Tevfik Metin
local.publication.orgunit1College of Engineering
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit2Department of Computer Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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