This paper discusses an approach of establishing system models of users' ta
sk related characteristics, such as domain knowledge in human-computer inte
raction. Several neural networks are tested for the modelling process. Thes
e networks function as associative memories that capture the causal relatio
nships among assumptions about the users' characteristics. The outputs from
the networks are considered as stereotypes assigned to individual users. I
t is suggested that this approach can be expected to overcome some limitati
ons of user modelling approaches in terms of pattern recognition and classi
fication.