engleski

Modeling computer and web attitudes using neural networks

The paper aims to suggest models for predicting computer and Web attitudes using artificial neural networks with an additional support of standard statistics in data preparatiom and future selection. Based on previously confirmed statistical instruments CAS and WAS, three models were designed. The first two models observed computer and Web attitudes separately, while both attitudes were observed in the third model. Demographic characteristics, experiences with different computer skills and Internet were included as input variables. The results show that neural network models are able to predict computer and Web attitudes more accurately than linear models. The selection of features confirmed some previous, but also revealed some new predictors tested on a Croatian dataset.

ANOVA; computer attitudes; neural networks; t-test; Web attitudes

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