i-Seek : an intelligent system for eliciting and explaining knowledge
Name
64039267-MIT.pdf
Description
Full printable version
Size
8.75 MB
Format
Adobe PDF
Checksum (MD5)
b481601c0bba7924d1843905c41ecd2b
Author(s)
Kumar, Ashwani, S.M. Massachusetts Institute of Technology
Advisor(s)
Henry Lieberman.
Alternative Title
Intelligent system for eliciting and explaining knowledge
Date Issued
2005
Publisher
Massachusetts Institute of Technology
Abstract
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).
Subjects
Architecture. Program In Media Arts and Sciences
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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