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

Title data

Buschek, Daniel ; Anlauff, Charlotte ; Lachner, Florian:
Paper2Wire : A Case Study of User-Centred Development of Machine Learning Tools for UX Designers.
In: Alt, Florian (ed.): Mensch und Computer 2020 : Tagungsband. - New York : ACM , 2020
ISBN 978-1-4503-7540-5
DOI: https://doi.org/10.1145/3404983.3405506

Project information

Project title:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

Project financing: Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst

Abstract in another language

This 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.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Machine learning; paper prototyping; wireframes; design process
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 05 Oct 2020 06:13
Last Modified: 05 Oct 2020 06:13
URI: https://eref.uni-bayreuth.de/id/eprint/56509