By Topic

Providing expert advice by analogy for on-line help

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
H. Liberman ; Media Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA ; Ashwani Kumar

One of the principal problems of online help is the mismatch between the specialized knowledge and technical vocabulary of experts who are providing the help, and the relative naivete of novices, who usually are often not in a position to understand solutions expressed by the expert in their own terms. Most of the interfaces are plagued by recurrent key problems: 1) elicitation - how to ask questions that enable the helper 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. One of the best ways to do this is for the expert to provide analogies in terms of commonsense knowledge, which provide metaphors that help novices learn problem-solving skills. SuggestDesk is a system that acts as an advisor to an online technical support person. It uses a large commonsense knowledge base to search for analogies between known technical problem-solution pairs, and situations and events in everyday life that can be used to explain them.

Published in:

The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)

Date of Conference:

19-22 Sept. 2005