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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.kuauthorErzin, Engin
dc.contributor.kuauthorYemez, Yücel
dc.contributor.kuauthorTürker, Bekir Berker
dc.contributor.kuauthorSezgin, Tevfik Metin
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid34503
dc.contributor.yokid107907
dc.contributor.yokidN/A
dc.contributor.yokid18632
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
dc.description.sponsoredbyTubitakEuTÜBİTAK
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.formatpdf
dc.identifier.doi10.1109/FG.2018.00110
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR01908
dc.identifier.isbn9781538623350
dc.identifier.issn2326-5396
dc.identifier.linkhttps://doi.org/10.1109/FG.2018.00110
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.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.grantno1.79769313486232E+308
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/8592
dc.sourceProceedings of 2018 13TH IEEE International Conference on Automotic Face and Gesture Recognition (FG 2018)
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.authorid0000-0002-2715-2368
local.contributor.authoridN/A
local.contributor.authoridN/A
local.contributor.authorid0000-0002-1524-1646
local.contributor.kuauthorErzin, Engin
local.contributor.kuauthorYemez, Yücel
local.contributor.kuauthorTürker, Bekir Berker
local.contributor.kuauthorSezgin, Tevfik Metin
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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