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Paper2Wire: a case study of user-centred development of machine learning tools for UX designers

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dc.contributor.authorBuschek, Daniel
dc.contributor.authorAnlauff, Charlotte
dc.contributor.authorLachner, Florian
dc.contributor.editorAlt, Florian
dc.contributor.editorSchneegass, Stefan
dc.contributor.editorHornecker, Eva
dc.date.accessioned2020-09-16T07:52:37Z
dc.date.available2020-09-16T07:52:37Z
dc.date.issued2020
dc.description.abstractThis paper reflects on a case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner. The resulting concept uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes. A user study (N=20) with a working prototype shows that this concept is preferred by designers, compared to the previous manual procedure. Reflecting on our process and findings we discuss lessons learned for developing ML tools that respect practitioners’ needs and practices.en
dc.description.urihttps://dl.acm.org/doi/10.1145/3404983.3405506en
dc.identifier.doi10.1145/3404983.3405506
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34299
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2020 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectmachine learning
dc.subjectwireframes
dc.subjectdesign process
dc.subjectpaper prototyping
dc.titlePaper2Wire: a case study of user-centred development of machine learning tools for UX designersen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.citation.startPage33–41
gi.conference.date6.-9. September 2020
gi.conference.locationMagdeburg
gi.conference.sessiontitleMCI: Full Paper
gi.document.qualitydigidoc

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Tagungsband MuC 2020