A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading
Joint Authors
Zhao, Xinbo
Wang, Xiaoming
Ren, Jinchang
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Traditional eye movement models are based on psychological assumptions and empirical data that are not able to simulate eye movement on previously unseen text data.
To address this problem, a new type of eye movement model is presented and tested in this paper.
In contrast to conventional psychology-based eye movement models, ours is based on a recurrent neural network (RNN) to generate a gaze point prediction sequence, by using the combination of convolutional neural networks (CNN), bidirectional long short-term memory networks (LSTM), and conditional random fields (CRF).
The model uses the eye movement data of a reader reading some texts as training data to predict the eye movements of the same reader reading a previously unseen text.
A theoretical analysis of the model is presented to show its excellent convergence performance.
Experimental results are then presented to demonstrate that the proposed model can achieve similar prediction accuracy while requiring fewer features than current machine learning models.
American Psychological Association (APA)
Wang, Xiaoming& Zhao, Xinbo& Ren, Jinchang. 2019. A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading. Complexity،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1133012
Modern Language Association (MLA)
Wang, Xiaoming…[et al.]. A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading. Complexity No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1133012
American Medical Association (AMA)
Wang, Xiaoming& Zhao, Xinbo& Ren, Jinchang. A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading. Complexity. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1133012
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133012