Predicting behavior on a computer from intentions, attitudes, and experience

Research on computer attitudes has generally focused on describing the cognitive elements. The present study used the Ajzen and Fishbein model to predict intentions to work hard in a computer course and actual time on the computer. In addition, the influence of experience on predictions was examined. Results from 74 social science students showed that the Ajzen and Fishbein model is effective at predicting both intentions and behavior. Unlike previous findings, experience did not interact with attitudes. Finally, a short cognitive attitude scale was an additional significant predictor beyond intentions in explaining behavior variance.