Dr Gang Li

  • Research Associate (Psychology)

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 is an early career researcher with a strong upward trajectory and have been active in the field of brain-machine interface (BMI) since 2013, having joined UofG last year (2020) as a postdoc research associate. He designs and develops novel brain monitoring and intervention tools to improve the usability of consumer VR. His H-index is 8, with more than 550 citations (Google Scholar, 29/8/2021). He targets his work at top venues in BMI field, for example having published papers at Journal of Cognitive Neuroscience, IEEE Transactions on Human-Machine Systems and IEEE Sensors Journal.

Publications

List by: Type | Date

Jump to: 2021 | 2020 | 2019
Number of items: 6.

2021

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)

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 Thu Sep 23 05:54:18 2021 BST.
Number of items: 6.

Articles

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

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

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 Thu Sep 23 05:54:18 2021 BST.

Supervision

Supervisors