Easing Access for Novice Users in Multi-screen Mashups by Rule-Based Adaption

Novice users often need support to become familiar with a new mashup. The most common problem is that mashups offer a high grade of personalization, such as the user's choice which widgets she wants to use. This problem becomes more difficult in multi-screen mashups, because the user has to decide additionally on which screen the widgets should run. In our recent work we focused on creating multiscreen mashups for enriching multimedia content. That is, a user can watch a video on one screen and also can consume additional content, like a Google Maps excerpt, on another one. This paper presents an approach for rule-based adaption of multi-screen mashups to ease the access for novice users. Therefore, we analyze the users' interaction with the mashup and detect patterns. Based on these patterns we derive rules which will be applied to the mashups of novice users as well as experienced ones. Thus, widgets will be added and arranged automatically on the user's several screens when the execution of a previously generated rule is triggered.