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

Complexity

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

Philosophy

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