Enabling context-sensitive information seeking

1 Information seeking is an important but often difficult task especially when involving large and complex data sets. We hypothesize that a context-sensitive interaction paradigm can greatly assist users in their information seeking. Such a paradigm allows a system to both understand user data requests and present the requested information in context. Driven by this hypothesis, we have developed a suite of intelligent user interaction technologies and integrated them in a full-fledged, context-sensitive information system. In this paper, we review two sets of key technologies: context-sensitive multimodal input interpretation and automated multimedia output generation. We also share our evaluation results, which indicate that our approaches are capable of supporting context-sensitive information seeking for practical applications.

• Type: Conference
• Year: 2006
• Where: IUI
• Authors: Michelle X. Zhou, Keith Houck, Shimei Pan, James Shaw, Vikram Aggarwal, Zhen Wen
• Keywords: Context-sensitive Information, Context-sensitive Interaction Paradigm, Information Seeking, IUI 2006, Software Engineering