Enabling context-sensitive information seeking

Information seeking is an important but often difficult task, especially when it involves large and complex data sets. We hypothesize that a context-sensitive interaction paradigm would greatly assist users in their information seeking. Such a paradigm would allow users to both express their requests and receive requested information in context. Driven by this hypothesis, we have taken rigorous steps to design, develop, and evaluate a full-fledged, context-sensitive information system. We started with a Wizard-of-OZ (WOZ) study to verify the effectiveness of our envi-sioned system. We then built a fully automated system based on the findings from our WOZ study. We targeted the development and integration of two sets of technologies: context-sensitive mul-timodal input interpretation and multimedia output generation. Finally, we formally evaluated the usability of our system in real world conditions. The results show that our system greatly improves the users' ability to perform practical information-seek-ing tasks. These results not only confirm our initial hypothesis, but they also indicate the practicality of our approaches.