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Paper2Wire – A Case Study of User-Centred Development of Machine Learning Tools for UX Designers

dc.contributor.authorBuschek, Daniel
dc.contributor.authorAnlauff, Charlotte
dc.contributor.authorLachner, Florian
dc.date.accessioned2021-05-13T16:40:40Z
dc.date.available2021-05-13T16:40:40Z
dc.date.issued2021
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.identifier.doi10.1515/icom-2021-0002
dc.identifier.pissn2196-6826
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/36429
dc.language.isoen
dc.publisherDe Gruyter
dc.relation.ispartofi-com: Vol. 20, No. 1
dc.subjectMachine learning
dc.subjectpaper prototyping
dc.subjectwireframes
dc.subjectdesign process
dc.titlePaper2Wire – A Case Study of User-Centred Development of Machine Learning Tools for UX Designersen
dc.typeText/Journal Article
gi.citation.endPage32
gi.citation.publisherPlaceBerlin
gi.citation.startPage19

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