Extended reality (XR) training and assessment are increasingly common, with the use of biometrics to gain insights into users’ cognitive-affective states on the rise as well. However, the accuracy of interpreting physiological signals has yet to consider inter-individual physiological differences. Nevertheless, it is essential to measure an individual’s responsivity in terms of biometrics (i.e., the degree to which a person’s psychophysiological signal changes in response to changes in their cognitive state) to build accurate XR assessment and adaptive XR trainings. Currently, we present CaliBrainVR, a virtual reality ”calibration” application that aims to create tailored user profiles using eye-tracking and heart rate data outlining the individual’s responsivity. The present text describes the virtual environment of the application, the data logging and preprocessing and the results of the initial validation stage. Finally, we outline the future development of the application and its current impact on training and assessment.


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    Title :

    CaliBrainVR : using psycho-physiological measures to calibrate virtual reality training



    Publication date :

    2023-01-01


    Remarks:

    2023 15th International Conference on Quality of Multimedia Experience (QoMEX) ; ISSN: 2372-7179 ; ISSN: 2472-7814 ; ISBN: 9798350311747 ; ISBN: 9798350311730



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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