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Agents to assist in finding help

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Published:01 April 2000Publication History

ABSTRACT

When a novice needs help, often the best solution is to find a human expert who is capable of answering the novice's questions. But often, novices have difficulty characterizing their own questions and expertise and finding appropriate experts. Previous attempts to assist expertise location have provided matchmaking services, but leave the task of classifying knowledge and queries to be performed manually by the participants. We introduce Expert Finder, an agent that automatically classifies both novice and expert knowledge by autonomously analyzing documents created in the course of routine work. Expert Finder works in the domain of Java programming, where it relates a user's Java class usage to an independent domain model. User models are automatically generated that allow accurate matching of query to expert without either the novice or expert filling out skill questionnaires. Testing showed that automatically generated profiles matched well with experts' own evaluation of their skills, and we achieved a high rate of matching novice questions with appropriate experts.

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          cover image ACM Conferences
          CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems
          April 2000
          587 pages
          ISBN:1581132166
          DOI:10.1145/332040

          Copyright © 2000 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 April 2000

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          CHI '00 Paper Acceptance Rate72of336submissions,21%Overall Acceptance Rate6,199of26,314submissions,24%

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