A comparison of static, adaptive, and adaptable menus

By Leah Findlater, Joanna McGrenere. International Conference on Human Factors in Computing Systems, 2004

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Automatically generating personalized user interfaces with Supple (2010, background): “It also illustrates another important phenomenon: the MRV and bottom-up heuristics tend to exhibit their worst performance in slightly di ﬀ erent parts of the problem space.”
Guidelines for Human-AI Interaction (2019, background): “Similarly, when and how to automatically adapt or personalize interfaces has been studied extensively in a variety of scenarios (e.g., [9, 11–13]).”
Mylar: a degree-of-interest model for IDEs (2005, background): “One of our goals is to make the Mylar model predictable enough for programmers to avoid the frustrations that users have experienced with adaptive interfaces [3].”
Adaptive interfaces and agents (2002, methodology): “With user-adaptive systems, realistic testing is especially ad-visable because of the issues discussed in the section on usability challenges, whose importance for a given system can often be assessed only in real use.”