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On-line Access: 2022-01-24

Received: 2020-07-03

Revision Accepted: 2022-04-22

Crosschecked: 2021-02-15

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Tian Feng


Yunzhan ZHOU


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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.1 P.101-112


EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum

Author(s):  Yunzhan ZHOU, Tian FENG, Shihui SHUAI, Xiangdong LI, Lingyun SUN, Henry Been-Lirn DUH

Affiliation(s):  Department of Computer Science, Durham University, Durham DH1 3LE, UK; more

Corresponding email(s):   yunzhan.zhou@durham.ac.uk, t.feng@zju.edu.cn

Key Words:  Visual attention, Virtual museums, Eye-tracking datasets, Gaze detection, Deep learning

Yunzhan ZHOU, Tian FENG, Shihui SHUAI, Xiangdong LI, Lingyun SUN, Henry Been-Lirn DUH. EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(1): 101-112.

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journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

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%A Tian FENG
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A1 - Yunzhan ZHOU
A1 - Tian FENG
A1 - Shihui SHUAI
A1 - Xiangdong LI
A1 - Lingyun SUN
A1 - Henry Been-Lirn DUH
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
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EP - 112
%@ 2095-9184
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2000318

Predicting visual attention facilitates an adaptive virtual museum environment and provides a context-aware and interactive user experience. Explorations toward development of a visual attention mechanism using eye-tracking data have so far been limited to 2D cases, and researchers are yet to approach this topic in a 3D virtual environment and from a spatiotemporal perspective. We present the first 3D Eye-tracking Dataset for visual attention modeling in a virtual Museum, known as the EDVAM. In addition, a deep learning model is devised and tested with the EDVAM to predict a user's subsequent visual attention from previous eye movements. This work provides a reference for visual attention modeling and context-aware interaction in the context of virtual museums.


1杜伦大学计算机科学学院,英国杜伦市,DH1 3LE


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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