Dr. Hong Gao

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University of Tübingen
Dpt. of Computer Science
Human-Computer Interaction
Sand 14
72076 Tübingen
Germany

Telephone
+49 - (0) 70 71 - 29 - 70492
Telefax
+49 - (0) 70 71 - 29 - 50 62
E-Mail
hong.gao@informatik.uni-tuebingen.de
Office
Sand 14, C203
Office hours
on appointment

Research Interests

  • Human behavior in VR
  • Eye movement event detection
  • Machine learning approaches for human behavior prediction
  • Explainable AI for human behavior in VR
  • Education/Entertainment VR applications

Publications

2022

Assessment of Human Behavior in Virtual Reality by Eye Tracking

Hong Gao. PhD thesis. University of Tübingen, 2022.

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Eye-Tracking-Based Prediction of User Experience in VR Locomotion Using Machine Learning

Hong Gao and Enkelejda Kasneci. Computer Graphics Forum. The Eurographics Association and John Wiley & Sons Ltd., 2022.

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Evaluation of Gait-Free Locomotion Methods with Eye Movement in Virtual Reality

Hong Gao, Lasse Frommelt, and Enkelejda Kasneci. 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), 2022.

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Exploring Gender Differences in Computational Thinking Learning in a VR Classroom: Developing Machine Learning Models Using Eye-Tracking Data and Explaining the Models

Hong Gao, Lisa Hasenbein, Efe Bozkir, Richard Göllner, and Enkelejda Kasneci. International Journal of Artificial Intelligence in Education, pages 1–26. Springer, 2022.

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Evaluating the Effects of Virtual Human Animation on Students in an Immersive VR Classroom Using Eye Movements

Hong Gao, Lisa Hasenbein, Efe Bozkir, Richard Göllner, and Enkelejda Kasneci. Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology (VRST ’22). ACM, 2022.

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2021

The Index of Cognitive Activity Predicts Cognitive Processing Load in Linguistic Task

Hong Gao, Zijian Lu, Vera Demberg, and Enkelejda Kasneci. EMICS ’21: ACM CHI ’21 Workshop on Eye Movements as an Interface to Cognitive State, 2021.

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Digital Transformations of Classrooms in Virtual Reality

Hong Gao, Efe Bozkir, Lisa Hasenbein, Jens-Uwe Hahn, Richard Göllner, and Enkelejda Kasneci. CHI Conference on Human Factors in Computing Systems (CHI ’21). ACM, 2021.

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Exploiting Object-of-Interest Information to Understand Attention in VR Classrooms

Efe Bozkir, Philipp Stark, Hong Gao, Lisa Hasenbein, Jens-Uwe Hahn, Enkelejda Kasneci, and Richard Göllner. 2021 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). IEEE, 2021.

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2020

Tiny convolution, decision tree, and binary neuronal networks for robust and real time pupil outline estimation

W. Fuhl, H. Gao, and E. Kasneci. ACM Symposium on Eye Tracking Research & Applications, ETRA 2020. ACM, 2020.

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Neural networks for optical vector and eye ball parameter estimation

W. Fuhl, H. Gao, and E. Kasneci. ACM Symposium on Eye Tracking Research & Applications, ETRA 2020. ACM, 2020.

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