Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/36153
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dc.contributor.authorStrazdas, Dominykas-
dc.contributor.authorHintz, Jan-
dc.contributor.authorFelßberg, Anna-Maria-
dc.contributor.authorAl-Hamadi, Ayoub-
dc.date.accessioned2021-03-26T07:00:05Z-
dc.date.available2021-03-26T07:00:05Z-
dc.date.issued2020-
dc.date.submitted2020-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/36386-
dc.identifier.urihttp://dx.doi.org/10.25673/36153-
dc.description.abstractThe goal of the study was to research different communication modalities needed for intuitiveHuman-Robot Interaction. This study utilizes a Wizard of Oz prototyping method to enable a restriction-free,intuitive interaction with an industrial robot. The data from 36 test subjects suggests a high preference forspeech input, automatic path planning and pointing gestures. The catalogue developed during this experimentcontains intrinsic gestures suggesting that the two most popular gestures per action can be sufficient tocover the majority of users. The system scored an average of 74% in different user interface experiencequestionnaires, while containing forced flaws. These findings allow a future development of an intuitiveHuman-Robot interaction system with high user acceptance.eng
dc.description.sponsorshipDFG-Publikationsfonds 2020-
dc.language.isoeng-
dc.relation.ispartofhttps://ieeexplore.ieee.org/servlet/opac?punumber=6287639-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectActivity recognitioneng
dc.subjectCooperative systemseng
dc.subjectHuman-robot interactioneng
dc.subjectRobot controleng
dc.subject.ddc621.3-
dc.titleRobots and wizards : an investigation into natural Human–Robot Interactioneng
dc.typeArticle-
dc.identifier.urnurn:nbn:de:gbv:ma9:1-1981185920-363860-
local.versionTypepublishedVersion-
local.bibliographicCitation.journaltitleIEEE access-
local.bibliographicCitation.volume8-
local.bibliographicCitation.issue2020-
local.bibliographicCitation.pagestart207635-
local.bibliographicCitation.pageend207642-
local.bibliographicCitation.publishernameIEEE-
local.bibliographicCitation.publisherplaceNew York, NY-
local.bibliographicCitation.doi10.1109/ACCESS.2020.3037724-
local.openaccesstrue-
dc.identifier.ppn174234206X-
local.bibliographicCitation.year2020-
cbs.sru.importDate2021-03-26T06:50:48Z-
local.bibliographicCitationEnthalten in IEEE access - New York, NY : IEEE, 2013-
local.accessrights.dnbfree-
Appears in Collections:Fakultät für Elektrotechnik und Informationstechnik (OA)

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