Neural network based stereotyping for user profiles

Qiyang Chen, A. F. Norcio, J. Wang

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

This paper discusses an approach of establishing system models of users' task related characteristics, such as domain knowledge in human-computer interaction. Several neural networks are tested for the modelling process. These networks function as associative memories that capture the causal relationships among assumptions about the users' characteristics. The outputs from the networks are considered as stereotypes assigned to individual users. It is suggested that this approach can be expected to overcome some limitations of user modelling approaches in terms of pattern recognition and classification.

Original languageEnglish
Pages (from-to)259-265
Number of pages7
JournalNeural Computing and Applications
Volume9
Issue number4
DOIs
StatePublished - 1 Jan 2000

Keywords

  • Associative memory
  • Human-computer interaction
  • Stereo typing
  • User model

Fingerprint Dive into the research topics of 'Neural network based stereotyping for user profiles'. Together they form a unique fingerprint.

  • Cite this