Improving cognitive-state analysis from eye gaze with synthetic eye-movement data-Reference-Cited by-同舟云学术

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Improving cognitive-state analysis from eye gaze with synthetic eye-movement data

Published:2024-04 Issue: Volume:119 Page:103901
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Prasse Paul^ORCID,Reich David R.,Makowski Silvia,Scheffer Tobias,Jäger Lena A.

Funder

Bundesministerium für Bildung und Forschung

Publisher

Elsevier BV

Reference61 articles.

1. Inferring native and non-native human reading comprehension and subjective text difficulty from scanpaths in reading;Reich,2022

2. Assessing language proficiency from eye movements in reading;Berzak,2018

3. Screening for dyslexia using eye tracking during reading;Nilsson Benfatto;PLoS One,2016

4. Dyslexia prediction from natural reading of danish texts;Björnsdóttir,2023

5. Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models;Haller,2022

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effects of different audiovisual landscapes in bamboo forest space on physical and mental restorative potential of university students: based on eye-tracking experiments;Frontiers in Forests and Global Change;2024-08-14

2. Reporting Eye-Tracking Data Quality: Towards a New Standard;Proceedings of the 2024 Symposium on Eye Tracking Research and Applications;2024-06-04

3. Foreword to the special section;Computers & Graphics;2024-04

4. Editorial note Computers & Graphics issue 119;Computers & Graphics;2024-04

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