A human-computer interaction neuro-cognitive state assessment tool based on eye-tracking and physiological measures

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The objective of the research is to develop a generic tool that uses eyetracking and physiological measures to analyze the cognitive and emotional state of users as they interact with a computer system. The system will analyze the incoming signals in terms of attention, interest, cognitive load, linked to a series of zones and actions in the interface. In parallel it will assess the emotional reactions from the physiological measures (stress, excitement). All this should then be linked to a structure of tasks, where zones and interaction actions are specified. Thus the information from the interaction, the eye tracking and physiological measures, will be interpreted and could be visualized in terms of cognitive and emotional reactions following the structure of tasks and elements of the interfaces. The data accumulated and its analysis will make it possible to assess the quality of the interfaces and of the prescribed interaction, as well as elements, which appear disruptive or preferred along the way. The system will make it possible to study the impact of individual or contextual factors which may affect the interaction, like experience, fatigue, cognitive dimensions or preferences.