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
. - pp. 33-41
ISBN 978-1-4503-7540-5
DOI: https://doi.org/10.1145/3404983.3405506
Project information
| Project title: |
Project's official title Project's id AI Tools - Continuous Interaction with Computational Intelligence Tools No 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 Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IX > Chair Applied Computer Science - Univ.-Prof. Dr. Daniel Buschek Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IX |
| 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: | 18 Feb 2026 08:35 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/56509 |

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