Abstract
The authors present, on the base of their own experiments and large variety of recent studies, the great potential of data, obtained from physiological measurement, for immediate and individualized reaction on the learning process of the learning subject in virtual learning environments. They emphasized simple, non invasive methods, easily available, for eyes tracking, blink rate and blink speed measurements electrodermal activities , and heart/respiration rate.
They highlight the advantages and constraints of different data acquisition approaches and methods (including technical and physiological), as well as constraints, caused by the hardware and software limits, by the necessity of individual setup (often continuous), by the problems with real time data processing, including wrong data recognition and elimination, etc. Analyzing data of GSR, EEG and eye tracking studies (with sample size of 6, later 8) employing a wide range of cognitive tasks.