Personalized contexts in help systems

Vive S. Kumar, Gordon I. McCalla, Jim E. Greer

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

1 Citation (Scopus)


Help systems offer a variety of services ranging from providing References to online documents to providing task-specific on-the-job training. One of the pervasive characteristics of any help system is the conception of a help-context. Depending on the type of service being offered, help systems may require different help-contexts. The context captures knowledge about the person who provides help, the person who consumes help, the help material, and the tool that delivers the material. The knowledge about the helper and the helpee can be stored in user models. In this paper we discuss how help-contexts are created in the Helper’s Assistant and how user models enhance the quality of help-contexts and the quality of help being delivered.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence - 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Proceedings
EditorsEleni Stroulia, Stan Matwin
Number of pages10
Publication statusPublished - 2001
Event14th Biennial Conference on Artificial Intelligence, AI 2001 - Ottawa, Canada
Duration: 7 Jun. 20019 Jun. 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th Biennial Conference on Artificial Intelligence, AI 2001


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