Psychophysiological correlates of long-term attention to complex tasks

An ongoing investigation of the psychophysiological nature of attention is described. Problems associated with the measurement of long-term human attention to complex tasks are discussed. A multivariate, hierarchical regression approach is described for the inference, from the non-in vasive measurement of surface neuroelectrical activities, of central nervous system operations associated with the maintenance and failure of long-term attention. The neuroelectrical signals used include the EEG, EOG, EGG, and impedance cardiogram. Psychophysiological measurement, data reduction, and analysis techniques are described.