On the Validity and Benefit of Manual and Automated Drift Correction in Reading Tasks

Drift represents a common distortion that affects the position of fixations in eye tracking data. While manual correction is considered very accurate, it is considered subjective and time-consuming. On the other hand, automated correction is fast, objective, and considered less accurate. An objectiv...

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Veröffentlicht in:	Journal of eye movement research Jg. 18; H. 3; S. 17
1. Verfasser:	Al Madi, Naser
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI 09.05.2025 MDPI AG
Schlagworte:	automated-algorithms correction distortion drift eye tracking reading automated-algorithms reading correction eye tracking distortion drift
ISSN:	1995-8692, 1995-8692
Online-Zugang:	Volltext
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