Advancing Dynamic-Time Warp Techniques for Correcting Eye Tracking Data in Reading Source Code
Naser Al Madi
Abstract:Background: Automated eye tracking data correction algorithms such as Dynamic-Time Warp always made a trade-off between the ability to handle regressions (jumps back) and distortions (fixation drift). At the same time, eye movement in code reading is characterized by non-linearity and regressions.
Objective: In this paper, we present a family of hybrid algorithms that aim to handles both regressions and distortions with high accuracy.
Method: Through simulations with synthetic data we replicate kno… Show more
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