The goal of this full-day workshop is to arrive at a synthesis of knowledge that will help people who work with intelligent user interfaces to predict and explain how users' attitudes and behavior toward aspects of such systems (a) differ from one user ...

In order to be helpful to people, the intelligent interfaces of the future will have to acquire, represent, and infer simple knowledge about everyday life and activities. While much work in AI has represented this knowledge at the word, sentence, and ...

We demonstrate a system for filtering media streams according to the collective taste of a leader-less informal clan of users. Applications on mobile devices receive streams of content items that are assessed by local software agents. The agents learn ...

We designed an interactive visual workspace, MediaGLOW, that supports users in organizing personal and shared photo collections. The system interactively places photos with a spring layout algorithm using similarity measures based on visual, temporal, ...

Numerous techniques exist to help users automate repetitive tasks; however, none of these methods fully support end-user creation, use, and modification of the learned tasks. We present an integrated task learning system (ITL) that learns executable ...

We conducted a user study evaluating two preference elicitation approaches based on ratings and personality quizzes respectively. Three criteria were used in this comparative study: perceived accuracy, user effort and user loyalty. Results from our ...

Adaptive software systems are intended to modify their appearance, performance or functionality to the needs and preferences of different users. A key bottleneck in building effective adaptive systems is accounting for the cost of disruption to a user's ...

We present a novel image classification technique for detecting multiple objects (called subobjects) in a single image. In addition to image classifiers, we apply spatial relationships among the subobjects to verify and to predict the locations of ...

Spoken language interfaces based on interactive semantic language models allow probabilities for hypothesized words to be conditioned on the semantic interpretation of these words in the context of some interfaced application environment. This ...

Getting synthetic faces to display natural facial expressions is essential to enhance the interaction between human users and virtual characters. Yet traditional facial control techniques provide precise but complex sets of control parameters, which are ...

Selection tasks are common in modern computer interfaces: we are often required to select a set of files, emails, data entries, and the like. File and data browsers have sorting and block selection facilities to make these tasks easier, but for complex ...

Recent years have seen a resurgence of interest in programming by demonstration. As end users have become increasingly sophisticated, computer and artificial intelligence technology has also matured, making it feasible for end users to teach long, ...

We propose a new document summarization algorithm which is personalized. The key idea is to rely on the attention (reading) time of individual users spent on single words in a document as the essential clue. The prediction of user attention over every ...

The 2009 International Conference on Intelligent User Interfaces (IUI 2009) is the 14th such meeting since the first international conference in 1997. This series of annual conferences is the principal international forum for the presentation and ...