In recent times, as driving functionalities become more automated, motorists run the most likely risk of becoming cognitively removed from the driving procedure. First-time drivers need to be more comfortable with driving skills before an attempt at real-life test procedures and psychophysiological measures provide added value that may not be captured through behavioural subject measures. This paper provides intelligent analytics for mobile test driving that registers eye movement behaviour based on mapped fixation on the x and y coordinates of the Cartesian of a virtual driving scene for users, its features integrate physiological measures such as the Pupil changes, SCR and ST. The model provides measures that can be utilised to assess the cognitive state of users in virtual driving environments. The importance of psychophysiological measures within the context of safety is discussed and the commonly used physiological metrics indices of the cognitive state are looked into as a potential metric that would be relevant for the driving research field.
Keywords: Psychophysiological measures, Cognitive state assessment, Behavioural subject measures, Virtual driving scene, Real-life test procedures, Performance rate