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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