Dr Gang Li

  • Research Associate (Centre for Social, Cognitive & Affective Neuroscience)

email: Gang.Li@glasgow.ac.uk

Room 555, 62 Hillhead Street, Glasgow, G12 8QB

ORCID iDhttps://orcid.org/0000-0002-5251-7445

Research interests

Gang Li is interested in the neural mechanism of VR-induced motion sickness. He obtained a B. Eng degree in Electronic Engineering from Nanchang Aviation University, China, in 2007, an MSc in Computer Science from Pusan National University, South Korea in 2010 and a PhD in Electronic Engineering from Pukyong National University, South Korea in 2016. Following this, he was a visiting scholar at the University of California, San Francisco and an assistant research professor at the Shanghai Jiao Tong University from 2016-2020. One month before the breakout of COVID-19, he moved to the UK from China for better research life.

Publications

List by: Type | Date

Jump to: 2022 | 2021 | 2020 | 2019
Number of items: 13.

2022

Pöhlmann, K. M. T., Auf Der Heyde, M. S. K., Li, G. , Verstraten, F., Brewster, S. A. and McGill, M. (2022) Can Visual Motion Presented in a VR Headset Reduce Motion Sickness for Vehicle Passengers? In: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22), Seoul, South Korea, 17-20 Sep 2022, pp. 114-118. ISBN 9781450394284 (doi: 10.1145/3544999.3552488)

Pöhlmann, K. M. T., Li, G. , Dam, A., Wang, Y.-K., Wei, C.-S., Brietzke, A. and Papaioannou, G. (2022) Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22), Seoul, South Korea, 17-20 Sep 2022. pp. 157-160. ISBN 9781450394284 (doi: 10.1145/3544999.3550156)

Li, G. , McGill, M., Brewster, S. , Chen, C. P., Anguera, J. A., Gazzaley, A. and Pollick, F. (2022) Multimodal biosensing for vestibular network-based cybersickness detection. IEEE Journal of Biomedical and Health Informatics, 26(6), pp. 2469-2480. (doi: 10.1109/JBHI.2021.3134024)

Li, G. and Chung, W.-Y. (2022) Electroencephalogram-based approaches for driver drowsiness detection and management: a review. Sensors, 22(3), 1100. (doi: 10.3390/s22031100) (PMID:35161844) (PMCID:PMC8840041)

2021

Chen, C. P., Cui, Y., Ye, Y., Yin, F., Shao, H., Lu, Y. and Li, G. (2021) Wide-field-of-view near-eye display with dual-channel waveguide. Photonics, 8(12), 557. (doi: 10.3390/photonics8120557)

Li, G. , Onuoha, O., McGill, M., Brewster, S. , Chen, C. P. and Pollick, F. (2021) Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 04-07 Dec 2021, ISBN 9781728190488 (doi: 10.1109/SSCI50451.2021.9660126)

Li, G. , Onuoha, O., McGill, M., Brewster, S. , Chen, C. P. and Pollick, F. (2021) Decreased Brain Functional Connectivity in VR Users During Cybersickness. 3rd Neuroergonomics Conference 2021 (NEC 2021), 11-16 Sep 2021. (Accepted for Publication)

Chen, C. P., Mi, L., Zhang, W., Ye, J. and Li, G. (2021) Waveguide-based near-eye display with dual-channel exit pupil expander. Displays, 67, 101998. (doi: 10.1016/j.displa.2021.101998)

Li, G. , McGill, M., Brewster, S. and Pollick, F. (2021) A Review of Electrostimulation-based Cybersickness Mitigations. In: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2020), 14-18 Dec 2020, pp. 151-157. ISBN 9781728174648 (doi: 10.1109/AIVR50618.2020.00034)

2020

Li, G. , Anguera, J. A., Javed, S. V., Khan, M. A., Wang, G. and Gazzaley, A. (2020) Enhanced attention using head-mounted virtual reality. Journal of Cognitive Neuroscience, 32(8), pp. 1438-1454. (doi: 10.1162/jocn_a_01560) (PMID:32286132)

Li, G. , Zhou, S., Kong, Z. and Guo, M. (2020) Closed-loop attention restoration theory for virtual reality-based attentional engagement enhancement. Sensors, 20(8), 2208. (doi: 10.3390/s20082208) (PMID:32295136) (PMCID:PMC7218885)

Li, G. , Macía Varela, F., Habib, A., Zhang, Q., McGill, M., Brewster, S. and Pollick, F. (2020) Exploring the Feasibility of Mitigating VR-HMD-Induced Cybersickness Using Cathodal Transcranial Direct Current Stimulation. In: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2020), 14-18 Dec 2020, ISBN 9781728174631 (doi: 10.1109/AIVR50618.2020.00030)

2019

Li, G. and Khan, M. A. (2019) Deep Learning on VR-Induced Attention. In: 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), San Diego, CA, USA, 9-11 Dec 2019, pp. 163-1633. ISBN 9781728156040 (doi: 10.1109/AIVR46125.2019.00033)

This list was generated on Sat Dec 10 06:03:44 2022 GMT.
Number of items: 13.

Articles

Li, G. , McGill, M., Brewster, S. , Chen, C. P., Anguera, J. A., Gazzaley, A. and Pollick, F. (2022) Multimodal biosensing for vestibular network-based cybersickness detection. IEEE Journal of Biomedical and Health Informatics, 26(6), pp. 2469-2480. (doi: 10.1109/JBHI.2021.3134024)

Li, G. and Chung, W.-Y. (2022) Electroencephalogram-based approaches for driver drowsiness detection and management: a review. Sensors, 22(3), 1100. (doi: 10.3390/s22031100) (PMID:35161844) (PMCID:PMC8840041)

Chen, C. P., Cui, Y., Ye, Y., Yin, F., Shao, H., Lu, Y. and Li, G. (2021) Wide-field-of-view near-eye display with dual-channel waveguide. Photonics, 8(12), 557. (doi: 10.3390/photonics8120557)

Chen, C. P., Mi, L., Zhang, W., Ye, J. and Li, G. (2021) Waveguide-based near-eye display with dual-channel exit pupil expander. Displays, 67, 101998. (doi: 10.1016/j.displa.2021.101998)

Li, G. , Anguera, J. A., Javed, S. V., Khan, M. A., Wang, G. and Gazzaley, A. (2020) Enhanced attention using head-mounted virtual reality. Journal of Cognitive Neuroscience, 32(8), pp. 1438-1454. (doi: 10.1162/jocn_a_01560) (PMID:32286132)

Li, G. , Zhou, S., Kong, Z. and Guo, M. (2020) Closed-loop attention restoration theory for virtual reality-based attentional engagement enhancement. Sensors, 20(8), 2208. (doi: 10.3390/s20082208) (PMID:32295136) (PMCID:PMC7218885)

Conference or Workshop Item

Pöhlmann, K. M. T., Li, G. , Dam, A., Wang, Y.-K., Wei, C.-S., Brietzke, A. and Papaioannou, G. (2022) Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys. Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22), Seoul, South Korea, 17-20 Sep 2022. pp. 157-160. ISBN 9781450394284 (doi: 10.1145/3544999.3550156)

Li, G. , Onuoha, O., McGill, M., Brewster, S. , Chen, C. P. and Pollick, F. (2021) Decreased Brain Functional Connectivity in VR Users During Cybersickness. 3rd Neuroergonomics Conference 2021 (NEC 2021), 11-16 Sep 2021. (Accepted for Publication)

Conference Proceedings

Pöhlmann, K. M. T., Auf Der Heyde, M. S. K., Li, G. , Verstraten, F., Brewster, S. A. and McGill, M. (2022) Can Visual Motion Presented in a VR Headset Reduce Motion Sickness for Vehicle Passengers? In: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '22), Seoul, South Korea, 17-20 Sep 2022, pp. 114-118. ISBN 9781450394284 (doi: 10.1145/3544999.3552488)

Li, G. , Onuoha, O., McGill, M., Brewster, S. , Chen, C. P. and Pollick, F. (2021) Comparing Autonomic Physiological and Electroencephalography Features for VR Sickness Detection Using Predictive Models. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 04-07 Dec 2021, ISBN 9781728190488 (doi: 10.1109/SSCI50451.2021.9660126)

Li, G. , McGill, M., Brewster, S. and Pollick, F. (2021) A Review of Electrostimulation-based Cybersickness Mitigations. In: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2020), 14-18 Dec 2020, pp. 151-157. ISBN 9781728174648 (doi: 10.1109/AIVR50618.2020.00034)

Li, G. , Macía Varela, F., Habib, A., Zhang, Q., McGill, M., Brewster, S. and Pollick, F. (2020) Exploring the Feasibility of Mitigating VR-HMD-Induced Cybersickness Using Cathodal Transcranial Direct Current Stimulation. In: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR 2020), 14-18 Dec 2020, ISBN 9781728174631 (doi: 10.1109/AIVR50618.2020.00030)

Li, G. and Khan, M. A. (2019) Deep Learning on VR-Induced Attention. In: 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), San Diego, CA, USA, 9-11 Dec 2019, pp. 163-1633. ISBN 9781728156040 (doi: 10.1109/AIVR46125.2019.00033)

This list was generated on Sat Dec 10 06:03:44 2022 GMT.

Supervision

Supervisor