Online Learners’ Reading Ability Detection Based on Eye-Tracking Sensors Article Swipe
Zehui Zhan
,
Lei Zhang
,
Mei Hu
,
Patrick S.W. Fong
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3390/s16091457
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3390/s16091457
The detection of university online learners’ reading ability is generally problematic and time-consuming. Thus the eye-tracking sensors have been employed in this study, to record temporal and spatial human eye movements. Learners’ pupils, blinks, fixation, saccade, and regression are recognized as primary indicators for detecting reading abilities. A computational model is established according to the empirical eye-tracking data, and applying the multi-feature regularization machine learning mechanism based on a Low-rank Constraint. The model presents good generalization ability with an error of only 4.9% when randomly running 100 times. It has obvious advantages in saving time and improving precision, with only 20 min of testing required for prediction of an individual learner’s reading ability.
Related Topics
Concepts
Eye tracking
Computer science
Eye movement
Saccade
Artificial intelligence
Reading (process)
Fixation (population genetics)
Regularization (linguistics)
Constraint (computer-aided design)
Machine learning
Speech recognition
Engineering
Demography
Law
Sociology
Political science
Mechanical engineering
Population
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s16091457
- https://www.mdpi.com/1424-8220/16/9/1457/pdf?version=1473489323
- OA Status
- gold
- Cited By
- 50
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2520704030
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2520704030Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s16091457Digital Object Identifier
- Title
-
Online Learners’ Reading Ability Detection Based on Eye-Tracking SensorsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-09-10Full publication date if available
- Authors
-
Zehui Zhan, Lei Zhang, Mei Hu, Patrick S.W. FongList of authors in order
- Landing page
-
https://doi.org/10.3390/s16091457Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/16/9/1457/pdf?version=1473489323Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/16/9/1457/pdf?version=1473489323Direct OA link when available
- Concepts
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Eye tracking, Computer science, Eye movement, Saccade, Artificial intelligence, Reading (process), Fixation (population genetics), Regularization (linguistics), Constraint (computer-aided design), Machine learning, Speech recognition, Engineering, Demography, Law, Sociology, Political science, Mechanical engineering, PopulationTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
50Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 11, 2023: 2, 2022: 13, 2021: 5Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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