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  1. J. Y. C., Chen (Ed.)
    Controlling and standardizing experiments is imperative for quantitative research methods. With the increase in the availability and quantity of low-cost eye-tracking devices, gaze data are considered as an important user input for quantitative analysis in many social science research areas, especially incorporating with virtual reality (VR) and augmented reality (AR) technologies. This poses new challenges in providing a default interface for gaze data in a common method. This paper propose GazeXR, which focuses on designing a general eye-tracking system interfacing two eye-tracking devices and creating a hardware independent virtual environment. We apply GazeXR to the in-class teaching experience analysis use case using external eye-tracking hardware to collect the gaze data for the gaze track analysis. 
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