Predicting Optimal Arousal of Affect State to Virtual Scene

Fatima Isiaka

Abstract

Research in affective computing is now offering the design of closedloop systems that offer real-time assessment and manipulation of the users’ affective state and cognitive response by developing adaptive environments that respond based on a rational and strategic scheme for real-time changes in both affective and cognitive incentives. The main aim is to lead the users to sub-optimal cognitive and affective states based on an optimal state that augments user performance. This paper expurgates the optimal arousal and classification of users’ affective state through a virtual scene in time by creating a module that utilises a touch screen for reading the emotional response of the users based on the moisture content in reaction to virtual stimuli. A closed-loop analytic tool was designed for analysis and reads the physiological response (Skin conductance response (SCR), Skin temperature (ST)) and its correlates to user activity. The optimal and tonic phase of the Electro-dermal activity (EDA) (SCR) can be detected by activating the command buttons holding the modules and input parameters. Error in EDA on optimal parameter predictions was computed and discussed in the result section.

Keywords: Electro-dermal activity, Skin temperature, Pupil changes, Moisture content, Optimal arousal state, Tonic and Phasic changes

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