ISSN : 1226-9654
This study carried out to implement the Guided Search Model (GSM; Wolfe, Cave, and Franzel, 1989) in visual search using a neural network modeling technique. In Study 1, effects of noise on visual search were examined by adding noise in two different layers: the input layer and the activation map layer. When the noise was inserted in the input layer, the search performance for the feature search condition showed a linearly increasing function, whereas no such pattern was observed in the activation map layer-noise condition. In Study 2, we compared the simulation results of this model with those of the previous studies in order to show the validity and the generalizability of the model. The results were consistent with those of Wolfe et al.(1989) in most of the tasks employed. The simulation results were then compared with the results of other previous studies. In general, out simulation results were found to be compatible with the predictions of GSM.