Associative user modeling: A neural network approach

Qiyang Chen, A. F. Norcio

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

This paper presents and discusses an approach of user modeling. A set of neural networks is utilized to store, maintain and infer users' task-related characteristics. Such networks function as associative memories that can capture the causal relationships among users' characteristics for the system adaptation. It is suggested that this approach can be expected to overcome some inherent problems of the conventional stereotyping approaches in terms of pattern recognition and classification. It can also avoid the complexity of truth maintenance in default reasoning that is required in previously known stereotyping approaches.

Original languageEnglish
Pages (from-to)471-476
Number of pages6
JournalAdvances in Human Factors/Ergonomics
Volume20
Issue numberB
DOIs
StatePublished - 1 Jan 1995

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