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

dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentKUAR (KU Arçelik Research Center for Creative Industries)
dc.contributor.kuauthorBuruk, Oğuz Turan
dc.contributor.kuauthorÖzcan, Oğuzhan
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteResearch Center
dc.date.accessioned2024-11-09T13:52:03Z
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.fulltextYES
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipN/A
dc.description.versionPublisher version
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR00330
dc.identifier.isbn9781450349918
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85022211932
dc.identifier.urihttps://hdl.handle.net/20.500.14288/3969
dc.keywordsUser-elicitation
dc.keywordsGestures
dc.keywordsVideo annotation
dc.keywordsVideo analysis
dc.keywordsGesture elicitation
dc.keywordsUser centered design
dc.keywordsEvaluation/methodology
dc.keywordsScreen design
dc.keywordsGUI
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.ispartofProceedings of the 2017 ACM: Conference Companion Publication on Designing Interactive Systems
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/4337
dc.subjectComputer engineering
dc.titleGestAnalytics: experiment and analysis tool for gesture-elicitation studies
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorBuruk, Oğuz Turan
local.contributor.kuauthorÖzcan, Oğuzhan
local.publication.orgunit1College of Engineering
local.publication.orgunit1Research Center
local.publication.orgunit2KUAR (KU Arçelik Research Center for Creative Industries)
local.publication.orgunit2Department of Computer Engineering
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relation.isOrgUnitOfPublication738de008-9021-4b5c-a60b-378fded7ef70
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