UI Personalization in Machine Learning Apps - DZone AI

Due to the inherent characteristics of Machine Learning, designers have to face the problem of presenting different types of data in a user-friendly and understandable manner. However, it rarely happens that the solution we work on will be used only by one specific type of person. When building schemas for interfaces of this type, the main challenge is to achieve a balance between the preparation of real solutions to known problems and what they provide (or can provide) to the visual layer of ML algorithms. Regardless of whether we prepare a new interface from scratch or create another version of an existing application, the key to achieving satisfying results is to understand how the algorithm works and to prepare a personalized solution tailored to the people who will use it. To achieve this goal, the first step will be to get to know the users; understand who they are, what their data is, and how their appropriate presentation can help improve their work.