Publication:
Realtime engagement measurement in human-computer interaction

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dc.conference.dateOCT 05-07, 2020
dc.conference.locationELECTR NETWORK
dc.conference.organizer2020 28th Signal Processing and Communications Applications Conference (SIU)
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorErzin, Engin
dc.contributor.kuauthorKesim, Ege
dc.contributor.kuauthorNumanoğlu, Tuğçe
dc.contributor.kuauthorSezgin, Tevfik Metin
dc.contributor.kuauthorTürker, Bekir Berker
dc.contributor.kuauthorYemez, Yücel
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:50:24Z
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 real-time monitored engagement is found to be consistent with the human-annotated engagement levels.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipThis work was supported by the Bilim Akademisi BAGEP Program and TÜBİTAK under Grant No. 217E040.
dc.description.studentonlypublicationNo
dc.description.studentpublicationYes
dc.description.versionN/A
dc.identifier.WoSQuartileN/A
dc.identifier.doi10.1109/SIU49456.2020.9302384
dc.identifier.embargoN/A
dc.identifier.grantno217E040
dc.identifier.isbn9781728172064
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.14288/14542
dc.identifier.urihttps://doi.org/10.1109/SIU49456.2020.9302384
dc.identifier.wos000653136100357
dc.keywordsHuman-computer
dc.keywordsInteraction
dc.keywordsSocial signal processing
dc.keywordsNon-verbal expressions
dc.keywordsBackhannels
dc.keywordsIntention prediction
dc.keywordsRobot
dc.language.isotur
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofSignal Processing and Communications Applications Conference
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectEngineering
dc.subjectElectrical and electronic engineering
dc.subjectTelecommunications
dc.titleRealtime engagement measurement in human-computer interaction
dc.title.alternativeİnsan-robot etkileşiminde gerçek zamanlı ilgi seviyesi ölçümü
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorKesim, Ege
local.contributor.kuauthorNumanoğlu, Tuğçe
local.contributor.kuauthorTürker, Bekir Berker
local.contributor.kuauthorErzin, Engin
local.contributor.kuauthorYemez, Yücel
local.contributor.kuauthorSezgin, Tevfik Metin
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relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae
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relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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