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dc.contributor.authorGuerra, Enrico
dc.contributor.authorKurz, Benedikt
dc.contributor.authorBräucker, Jonas
dc.contributor.editorMarky, Karola
dc.contributor.editorGrünefeld, Uwe
dc.contributor.editorKosch, Thomas
dc.date.accessioned2022-08-30T10:27:48Z
dc.date.available2022-08-30T10:27:48Z
dc.date.issued2022
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/39112
dc.description.abstractNowadays, Augmented Reality (AR) and Virtual Reality (VR) are acquiring increasing importance. In light of the fact that this is true not only for gaming or entertainment, but also for business and scientific scenarios, such immersive technologies may become as immensely important to us as Web 2.0 did over a decade ago. For such paradigms with rising significance over time, well de-fined guidelines, models, or even standards can be advantageous for enhancing usability. In the 1980s, the Keystroke-Level Model introduced a method with this objective in mind. Also providing developers with the means to efficiently evaluate and enhance the usability of their application in terms of time and effort. In this paper, we present a fist step toward such a model for immersive ap-plications by extending the Keystroke-Level Model. We determine new operators, specific to AR and VR, and after that, providing unit times for each of the new operators by measuring the times it takes to carry out a specific operation as part of a user study.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2022 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjecteXtended Reality
dc.subjectVirtual Reality
dc.subjectAugmented Reality
dc.subjectPredictive Performance Model
dc.subjectHuman-Computer Interaction
dc.titleAn Extension to the Keystroke-Level Model for Extended Reality Interactionsen
dc.typeText/Conference Poster
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.conference.sessiontitleMCI-SRC: Student Reserach Challenge
mci.conference.locationDarmstadt
mci.conference.date4.-7. September 2022
dc.identifier.doi10.18420/muc2022-mci-src-443


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