i-Seek : an intelligent system for eliciting and explaining knowledge

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.

Bibliographic Details
Main Author: Kumar, Ashwani, S.M. Massachusetts Institute of Technology
Other Authors: Henry Lieberman.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2006
Subjects:
Online Access:http://hdl.handle.net/1721.1/32523
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author Kumar, Ashwani, S.M. Massachusetts Institute of Technology
author2 Henry Lieberman.
author_facet Henry Lieberman.
Kumar, Ashwani, S.M. Massachusetts Institute of Technology
author_sort Kumar, Ashwani, S.M. Massachusetts Institute of Technology
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description Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.
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spelling mit-1721.1/325232019-04-10T13:40:03Z i-Seek : an intelligent system for eliciting and explaining knowledge Intelligent system for eliciting and explaining knowledge Kumar, Ashwani, S.M. Massachusetts Institute of Technology Henry Lieberman. Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences Architecture. Program In Media Arts and Sciences 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). 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. by Ashwani Kumar. S.M. 2006-03-29T18:52:23Z 2006-03-29T18:52:23Z 2005 2005 Thesis http://hdl.handle.net/1721.1/32523 64039267 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 100 leaves 5393208 bytes 5397121 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Architecture. Program In Media Arts and Sciences
Kumar, Ashwani, S.M. Massachusetts Institute of Technology
i-Seek : an intelligent system for eliciting and explaining knowledge
title i-Seek : an intelligent system for eliciting and explaining knowledge
title_full i-Seek : an intelligent system for eliciting and explaining knowledge
title_fullStr i-Seek : an intelligent system for eliciting and explaining knowledge
title_full_unstemmed i-Seek : an intelligent system for eliciting and explaining knowledge
title_short i-Seek : an intelligent system for eliciting and explaining knowledge
title_sort i seek an intelligent system for eliciting and explaining knowledge
topic Architecture. Program In Media Arts and Sciences
url http://hdl.handle.net/1721.1/32523
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