Advancing Dynamic-Time Warp Techniques for Correcting Eye Tracking Data in Reading Source Code
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....
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| Format: | Article |
| Language: | English |
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Bern Open Publishing
2024-03-01
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| Series: | Journal of Eye Movement Research |
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| Online Access: | https://bop.unibe.ch/JEMR/article/view/10741 |