Name of the participant: Florian Lachner
Description of the IT-research project:
The aim of this project is to investigate the use of machine learning (ML) in development and design processes from both a scientific and practical perspective. A special focus is put on the consideration of the user experience (UX), since customers nowadays often assume a simple and natural handling of digital products as a basic need. Increasingly, a satisfying user experience is demanded, which goes beyond a purely effective operation. For developers and designers this is an increasing challenge. The investigation in this project is therefore focused on the analysis of technical aspects as well as on questions in the areas of human-machine interaction, UX and usability. With such a model or a corresponding practical application, UX processes in the software and IT industry could be made more efficient and effective. Furthermore, the automated analysis of the UX of an interaction in real time is an important cornerstone in the research of adaptive user interfaces (UI), with which the UI of any software product in B2C and B2B areas can be personalized efficiently and thus cost-savingly.
In the context of this research project, an extensive literature research as well as expert interviews will be conducted to ensure a practical applicability and the development of recommendations for the use of ML in the UX process. The results will initiate and promote a direct application of ML models and algorithms for UX measurement. The main goal is the prototypical modeling of a measurement method based on ML.
Software Campus partners: LMU München, Holtzbrinck Publishing Group
Implementation period:01.02.2018 – 31.03.2019