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.
|Number of pages||7|
|Journal||Neural Computing and Applications|
|State||Published - 1 Jan 2000|
- Associative memory
- Human-computer interaction
- Stereo typing
- User model