The effectiveness of adaptive user interfaces highly depends on the how accurately adaptation satisfies the needs of users. This paper presents an empirical study that examined two adaptation techniques applied on lists of textual selections. The study measured user performance controlling the accuracy of the suggestions made by the adaptive user interface. The results indicate that different adaptation techniques bare different costs and gains, which are affected by the accuracy of adaptation.
This paper introduces an adaptable hypermedia approach applied to adaptive link annotation techniques. This approach suggests that the combination of direct manipulation with automated link annotation affords greater user control over page adaptation. In turn, this direct control better supports user focus in information discovery tasks. Unlike adaptive-only systems, our approach lets users both define multiple topics of interest and then manipulate how these topics’ associated links are presented in a page. We discuss how the approach can be applied both to pages viewed as well as to the user’s history list, thereby relieving users from the task of either adding to or organizing bookmarks. We describe the prototype developed to support these manipulations, as well as the adaptive architecture developed to support these controls.