Proactive dialogue for interactive knowledge capture

Jihie Kim, Yolanda Gil

Research output: Contribution to journalConference articlepeer-review

Abstract

Current tools for interactive knowledge capture have little or no learning aptitude. They are mostly oblivious to the process or strategy that the user may be following in entering new knowledge, unaware of their progress during a session, and ignorant of typical skills expected from a good student. We present an approach to make acquisition interfaces more proactive by extending them with: 1) goals that represent what remains to be learned, 2) strategies to achieve these goals and acquire further knowledge, and 3) awareness of the current status of the body of knowledge learned. The resulting interaction shows that the system is aware of its progress towards acquiring the new knowledge, and moves forward by understanding what acquisition goals and strategies to pursue.

Original languageEnglish
Pages (from-to)1398-1399
Number of pages2
JournalIJCAI International Joint Conference on Artificial Intelligence
StatePublished - 2003
Event18th International Joint Conference on Artificial Intelligence, IJCAI 2003 - Acapulco, Mexico
Duration: 9 Aug 200315 Aug 2003

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