NEW VISUAL ASSESSMENT USING STEADY-STATE VISUAL EVOKED POTENTIAL (SSVEP) AND EYE TRACKING

Abstract

The useful-field-of-view (UFOV) is the visual area from which one captures visual information with a single glance without any eye movement. Currently, the test for UFOV typically relies on an individual’s subjective attentional responses. Two physiological signals, namely, steady-state visual evoked potential (SSVEP) and pupillary oscillation have been frequently used as an objective alternative to replace subjective attentional responses. Our aim was to investigate the possibility of predicting UFOV performance objectively using these signals. Two sets of experiments, A & B, were carried out for this purpose. Experiment A is a preliminary study that indicates the potential relationship between the two signals and UFOV using three tasks of different difficulties. Experiment B further validates this relationship and collects data to train a feedforward neural network model. This model is able to predict UFOV performance with SSVEP and pupillary oscillation as input vectors.