Publication:
Gestanalytics: experiment and analysis tool for gesture-elicitation studies

dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Media and Visual Arts
dc.contributor.kuauthorBuruk, Oğuz Turan
dc.contributor.kuauthorÖzcan, Oğuzhan
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Media and Visual Arts
dc.contributor.researchcenterKU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR)
dc.contributor.schoolcollegeinstituteGraduate School of Social Sciences and Humanities
dc.contributor.schoolcollegeinstituteCollege of Social Sciences and Humanities
dc.contributor.yokidN/A
dc.contributor.yokid12532
dc.date.accessioned2024-11-10T00:11:43Z
dc.date.issued2017
dc.description.abstractGesture-elicitation studies are common and important studies for understanding user preferences. In these studies, researchers aim at extracting gestures which are desirable by users for different kinds of interfaces. During this process, researchers have to manually analyze many videos which is a tiring and a time-consuming process. Although current tools for video analysis provide annotation opportunity and features like automatic gesture analysis, researchers still need to (1) divide videos into meaningful pieces, (2) manually examine each piece, (3) match collected user data with these, (4) code each video and (5) verify their coding. These processes are burdensome and current tools do not aim to make this process easier and faster. To fill this gap, we developed "GestAnalytics" with features of simultaneous video monitoring, video tagging and filtering. Our internal pilot tests show that GestAnalytics can be a beneficial tool for researchers who practice video analysis for gestural interfaces.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.identifier.doi10.1145/3064857.3079114
dc.identifier.isbn978-1-4503-4991-8
dc.identifier.scopus2-s2.0-85022211932
dc.identifier.urihttp://dx.doi.org/10.1145/3064857.3079114
dc.identifier.urihttps://hdl.handle.net/20.500.14288/17532
dc.identifier.wos482931500007
dc.keywordsUser-elicitation
dc.keywordsGestures
dc.keywordsVideo Annotation
dc.keywordsVideo analysis
dc.keywordsGesture elicitation
dc.keywordsUser centered design
dc.languageEnglish
dc.publisherAssoc Computing Machinery
dc.sourceDis'17 Companion: Proceedings Of The 2017 Acm Conference On Designing Interactive Systems
dc.subjectComputer science
dc.subjectTheory methods
dc.titleGestanalytics: experiment and analysis tool for gesture-elicitation studies
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0002-8655-5327
local.contributor.authorid0000-0002-4410-3955
local.contributor.kuauthorBuruk, Oğuz Turan
local.contributor.kuauthorÖzcan, Oğuzhan
relation.isOrgUnitOfPublication483fa792-2b89-4020-9073-eb4f497ee3fd
relation.isOrgUnitOfPublication.latestForDiscovery483fa792-2b89-4020-9073-eb4f497ee3fd

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