i-Seek : an intelligent system for eliciting and explaining knowledge
Author(s)
Kumar, Ashwani, S.M. Massachusetts Institute of Technology![Thumbnail](/bitstream/handle/1721.1/32523/64039267-MIT.pdf.jpg?sequence=5&isAllowed=y)
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Alternative title
Intelligent system for eliciting and explaining knowledge
Other Contributors
Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences
Advisor
Henry Lieberman.
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Show full item recordAbstract
We propose i-Seek, an Intelligent System for Eliciting and Explaining Knowledge that leverages the OpenMind [1] Commonsense knowledge base in conjunction with domain- specific knowledge in Personal Finance, Technical Help, and Health domains to act as an advisory system for novice users. Most of the interfaces are plagued by recurrent key problems: 1) elicitation - how to ask questions that enable the expert model to make decisions, and at the same time, are understandable to the novice, and 2) explanation - how to explain rationale behind expert decisions in terms that the user can understand. i- Seek maps the user's goals and expectations to the corresponding expert model's attributes as expressed in domain-specific terms. For example, instead of asking "What is your risk tolerance?", where the user might not comprehend the notion of risk tolerance, i-Seek tries to elicit the same information by asking a non-direct question such as "Do you usually buy lots of lottery tickets?". i-Seek constructs the novice user model by taking into account the user's personal information, interactions history, and the current context.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005. Includes bibliographical references (leaves 97-100).
Date issued
2005Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)Publisher
Massachusetts Institute of Technology
Keywords
Architecture. Program In Media Arts and Sciences