Proceedings:
Book One
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 21
Track:
New Scientific and Technical Advances in Research (Nectar) Papers
Downloads:
Abstract:
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.
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 21