Machine learning improves mobile user experience. Interestingly, envisioning apps with adaptive interfaces that reduce navigation and selection effort is not standard UX practice. When implementing an adaptive UI for our mobile transit app, we encountered a number of problems. Our original design did not log necessary information nor did it induce users to provide good labels. On reflection, we realized UX designers should identify and refine UI adaptions when sketching wireframes. To advance on this insight, we reviewed the interfaces of popular apps and extracted six design patterns where UI adaptation can improve in-app navigation. Next, we designed an exemplar set of wireframes, illustrating how UX designers might annotate their interaction flows to communicate planned adaptation and note the information (logs and labels) needed to make the desired inferences.
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Yang et al. (2016) studied this question.
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