Associative User Modeling: A Neural Network Approach
Document Type
Article
Publication Date
1-1-1995
Journal / Book Title
Advances in Human Factors/Ergonomics
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.
DOI
10.1016/S0921-2647(06)80261-3
MSU Digital Commons Citation
Chen, Qiyang and Norcio, A. F., "Associative User Modeling: A Neural Network Approach" (1995). Department of Information Management and Business Analytics Faculty Scholarship and Creative Works. 42.
https://digitalcommons.montclair.edu/infomgmt-busanalytics-facpubs/42
Published Citation
Chen, Q., & Norcio, A. F. (1995). Associative user modeling: A neural network approach. In Advances in Human Factors/Ergonomics (Vol. 20, pp. 471-476). Elsevier.