2024

Hu, H., Chen, C. P., Li, G. , Jin, Z., Chu, Q., Han, B. and Zou, S. P. (2024) Bionic vision processing for epiretinal implant-based metaverse. ACS Applied Optical Materials, 2(7), pp. 1269-1276. (doi: 10.1021/acsaom.3c00431)

Li, G. and Zanto, T. (2024) Reduced VR motion sickness by applying random-phase transcranial alternating current stimulation to the left parietal cortex. Brain Stimulation, 17(3), pp. 550-552. (doi: 10.1016/j.brs.2024.04.015) (PMID:38670223)

Pöhlmann, K., Wilson, G., Li, G. , McGill, M. and Brewster, S. (2024) From Slow-Mo to Ludicrous Speed: Comfortably Manipulating the Perception of Linear In-Car VR Motion Through Vehicular Translational Gain and Attenuation. In: CHI Conference on Human Factors in Computing Systems (CHI24), Honolulu, HI, USA, 11-16 May 2024, (Accepted for Publication)

Li, G. , Billig, A., Chen, C. P. and Pohlmann, K. (2024) Can Brain Stimulation Reduce VR motion sickness in Healthy Young Adults During an Immersive Relaxation Application? A Study of tACS. In: 31st IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2024), Orlando, FL, USA, 16-21 March 2024, (Accepted for Publication)

Li, G. , Wang, Y.-K., McGill, M., Pöhlmann, K., Brewster, S. and Pollick, F. (2024) Resting-State EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated In-Car VR Platform. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 05-08 Dec 2023, pp. 47-52. ISBN 9781665430654 (doi: 10.1109/SSCI52147.2023.10371953)

2023

Margareta Theresa Pöhlmann, K., Al Taie, A. J. S. , Li, G. , Dam, A., Wang, Y.-K., Wei, C.-S. and Papaioannou, G. (2023) 2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field. In: 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '23), Ingolstadt, Germany, 18-22 Sep 2023, pp. 223-226. ISBN 9798400701122 (doi: 10.1145/3581961.3609836)

Li, G. , Pohlmann, K., McGill, M., Chen, C. P., Brewster, S. and Pollick, F. (2023) Exploring Neural Biomarkers in Young Adults Resistant to VR Motion Sickness: A Pilot Study of EEG. In: IEEE VR 2023, Shanghai, China, 25-29 Mar 2023, ISBN 9798350348156 (doi: 10.1109/VR55154.2023.00048)

Pohlmann, K. M. T., Li, G. , McGill, M., Pollick, F. and Brewster, S. (2023) Can Gender and Motion Sickness Susceptibility Predict Cybersickness in VR ? In: 30th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2023), Shanghai, China, 25-29 March 2023, ISBN 9798350348392 (doi: 10.1109/VRW58643.2023.00066)

Pöhlmann, K., Li, G. , McGill, M., Markoff, R. and Brewster, S. (2023) You Spin Me Right Round, Baby, Right Round: Examining the Impact of Multi-Sensory Self-Motion Cues on Motion Sickness During a VR Reading Task. In: 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), Hamburg, Germany, 23-28 Apr 2023, p. 712. ISBN 9781450394215 (doi: 10.1145/3544548.3580966)

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)

Articles

Hu, H., Chen, C. P., Li, G. , Jin, Z., Chu, Q., Han, B. and Zou, S. P. (2024) Bionic vision processing for epiretinal implant-based metaverse. ACS Applied Optical Materials, 2(7), pp. 1269-1276. (doi: 10.1021/acsaom.3c00431)

Li, G. and Zanto, T. (2024) Reduced VR motion sickness by applying random-phase transcranial alternating current stimulation to the left parietal cortex. Brain Stimulation, 17(3), pp. 550-552. (doi: 10.1016/j.brs.2024.04.015) (PMID:38670223)

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., Wilson, G., Li, G. , McGill, M. and Brewster, S. (2024) From Slow-Mo to Ludicrous Speed: Comfortably Manipulating the Perception of Linear In-Car VR Motion Through Vehicular Translational Gain and Attenuation. In: CHI Conference on Human Factors in Computing Systems (CHI24), Honolulu, HI, USA, 11-16 May 2024, (Accepted for Publication)

Li, G. , Billig, A., Chen, C. P. and Pohlmann, K. (2024) Can Brain Stimulation Reduce VR motion sickness in Healthy Young Adults During an Immersive Relaxation Application? A Study of tACS. In: 31st IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2024), Orlando, FL, USA, 16-21 March 2024, (Accepted for Publication)

Li, G. , Wang, Y.-K., McGill, M., Pöhlmann, K., Brewster, S. and Pollick, F. (2024) Resting-State EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated In-Car VR Platform. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 05-08 Dec 2023, pp. 47-52. ISBN 9781665430654 (doi: 10.1109/SSCI52147.2023.10371953)

Margareta Theresa Pöhlmann, K., Al Taie, A. J. S. , Li, G. , Dam, A., Wang, Y.-K., Wei, C.-S. and Papaioannou, G. (2023) 2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field. In: 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '23), Ingolstadt, Germany, 18-22 Sep 2023, pp. 223-226. ISBN 9798400701122 (doi: 10.1145/3581961.3609836)

Li, G. , Pohlmann, K., McGill, M., Chen, C. P., Brewster, S. and Pollick, F. (2023) Exploring Neural Biomarkers in Young Adults Resistant to VR Motion Sickness: A Pilot Study of EEG. In: IEEE VR 2023, Shanghai, China, 25-29 Mar 2023, ISBN 9798350348156 (doi: 10.1109/VR55154.2023.00048)

Pohlmann, K. M. T., Li, G. , McGill, M., Pollick, F. and Brewster, S. (2023) Can Gender and Motion Sickness Susceptibility Predict Cybersickness in VR ? In: 30th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2023), Shanghai, China, 25-29 March 2023, ISBN 9798350348392 (doi: 10.1109/VRW58643.2023.00066)

Pöhlmann, K., Li, G. , McGill, M., Markoff, R. and Brewster, S. (2023) You Spin Me Right Round, Baby, Right Round: Examining the Impact of Multi-Sensory Self-Motion Cues on Motion Sickness During a VR Reading Task. In: 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), Hamburg, Germany, 23-28 Apr 2023, p. 712. ISBN 9781450394215 (doi: 10.1145/3544548.3580966)

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)