1. A method for automatically identifying a likely emotional state in real-time comprising: exposing a person to a stimulus; measuring the person's physiological responses to the stimulus using a physiological monitoring device; comparing the measured physiological responses to baseline physiological responses using a processor, wherein: the baseline physiological responses of the person are measured when exposed to a stimulus known as likely to elicit a selected emotional state, and the stimulus used to elicit the person's baseline physiological responses and the stimulus used to elicit the person's measured physiological responses are the same type; recording and storing the baseline physiological responses as an acceptable range in an electronic database, wherein the baseline physiological responses are in association with particular emotional states; the processor determining the degree to which the person is engaged with, concentrated on, or focused on the stimulus; and the processor identifying a likely emotional state in dependence on the pattern of deviations of the measured physiological responses from the acceptable range of the baseline physiological responses and in dependence on the degree to which the person is engaged with, concentrated on, or focused on the stimulus, wherein the measured physiological responses and baseline physiological responses include both standard deviation and instability values, and wherein the measured physiological responses and baseline physiological responses comprise respiratory responses.