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Realtime engagement measurement in human-computer interaction

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dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentN/A
dc.contributor.departmentN/A
dc.contributor.departmentN/A
dc.contributor.kuauthorSezgin, Tevfik Metin
dc.contributor.kuauthorYemez, Yücel
dc.contributor.kuauthorErzin, Engin
dc.contributor.kuauthorTürker, Bekir Berker
dc.contributor.kuauthorNumanoğlu, Tuğçe
dc.contributor.kuauthorKesim, Ege
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofileMaster Student
dc.contributor.kuprofileMaster Student
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid18632
dc.contributor.yokid107907
dc.contributor.yokid34503
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.date.accessioned2024-11-09T23:30:24Z
dc.date.issued2020
dc.description.abstractSocial robots are expected to understand their interlocutors and behave accordingly like humans do. Endowing robots with the capability of monitoring user engagement during their interactions with humans is one of the crucial steps towards achieving this goal. In this work, an interactive game is designed and implemented, which is played with a robot. During the interaction, the user engagement is monitored in realtime via detection of user gaze, turn-taking, laughters/smiles and head nods from audio-visual data. In the experiments conducted, the realtime monitored engagement is found to be consistent with the humanannotated engagement levels.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.identifier.doi10.1109/SIU49456.2020.9302384
dc.identifier.isbn9781-7281-7206-4
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85100319260&doi=10.1109%2fSIU49456.2020.9302384&partnerID=40&md5=881902ef445d7e7bab2458dbe4645882
dc.identifier.scopus2-s2.0-85100319260
dc.identifier.urihttps://dx.doi.org/10.1109/SIU49456.2020.9302384
dc.identifier.urihttps://hdl.handle.net/20.500.14288/12232
dc.identifier.wos653136100357
dc.keywordsBackhannels
dc.keywordsHuman-Computer Interaction
dc.keywordsIntention Prediction.
dc.keywordsNon-verbal Expressions
dc.keywordsSocial Signal Processing Human computer interaction
dc.keywordsSignal processing
dc.keywordsAudio-visual data
dc.keywordsEngagement levels
dc.keywordsInteractive games
dc.keywordsReal time
dc.keywordsTurn-taking
dc.keywordsUser engagement
dc.keywordsSocial robots
dc.languageTurkish
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.source2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
dc.subjectHuman-computer interaction
dc.subjectRobotics
dc.titleRealtime engagement measurement in human-computer interaction
dc.title.alternativeDerin Öğrenme ile uçtan uca imge ve video sıkıştırmada yeni sonuçlar
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0002-1524-1646
local.contributor.authorid0000-0002-7515-3138
local.contributor.authorid0000-0002-2715-2368
local.contributor.authoridN/A
local.contributor.authoridN/A
local.contributor.authoridN/A
local.contributor.kuauthorSezgin, Tevfik Metin
local.contributor.kuauthorYemez, Yücel
local.contributor.kuauthorErzin, Engin
local.contributor.kuauthorTürker, Bekir Berker
local.contributor.kuauthorNumanoğlu, Tuğçe
local.contributor.kuauthorKesim, Ege
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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