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姓名:蒯曙光
联系电话:021-62233290
电子邮箱:sgkuai@psy.ecnu.edu.cn
通讯地址:老图书馆2010
研究方向:视觉认知和虚拟现实实验室
个人简介

认知神经科学研究所 研究员

 

教育背景:

2000 - 2004 华东师范大学本科,心理学学士

2004 - 2009 中国科学院神经科学研究所,神经生物学博士

 

工作履历:

2009 - 2012 英国伯明翰大学博士后

2012 - 2015 皇家飞利浦研究院科学家

2015- 今  华东师范大学研究员,博士生导师,紫江青年学者

 

研究领域:

视觉认知,虚拟现实技术应用,工业心理学,人机交互

 

 

科研项目:
国家自然科学和社会科学基金:
人类内在空间参照系对角度知觉的影响,2018.1.10-2021.12.30,国家自然科学面上基金,项目批准号:31771209,项目负责人;
时空整合的心理和脑机制研究,2016.1.10-2017.12.30,国家自然科学面上基金(小额),项目批准号:31571160,项目负责人;
基于虚拟现实的实验研究对实验哲学的超越,2015.11 -2020.12.30,国家社科基金重大课题(第二批)项目批准:15ZDB016,子课题负责人;
 
企事业业单位委托项目:
显示器相关人体视觉特性参数测定,2018.6.1-2018.12.31,国家标准化研究院,项目负责人;
基于机器学习的心理测试眼动分析技术研究,2018.11-2019.9,上海市公安局刑事侦查总队,项目负责人;
照明虚拟真实度知觉感知研究,2016.6.15-2018.12.30,飞利浦照明(中国)投资有限公司,项目负责人;
 
 

 

主要学术成果:

 

Wu, H. N., Wang, X. M., Yu, L. K., Yuan, T., & Kuai, S. G*(2019). Rendering a virtual light source to seem like a realistic light source in an electronic display: A critical band of luminance gradients for the perception of self-luminosity. Displays. (* Corresponding Author).

 

Deng, C. L., Geng, P., Hu, Y. F., & Kuai, S. G*. (2019). Beyond Fitts’s Law: A Three-Phase Model Predicts Movement Time to Position an Object in an Immersive 3D Virtual Environment. Human factors.(* Corresponding Author).

 

Zhou, C., Han, M., Liang, Q., Hu, Y. F., & Kuai, S. G*. (2019). A social interaction field model accurately identifies static and dynamic social groupings. Nature human behaviour, 1(* Corresponding Author). Full text https://rdcu.be/bOCLp.

 

Xu, Z. X., Chen, Y., & Kuai, S. G*. (2018). The human visual system estimates angle features in an internal reference frame: A computational and psychophysical study. Journal of vision, 18(13), 10-10(* Corresponding Author).

 

Safdar, M., Luo, M. R., Mughal, M. F., Kuai, S.G., Yang, Y., Fu, L., & Zhu, X. (2018). A neural response-based model to predict discomfort glare from luminance image. Lighting Research & Technology, 50(3), 416-428.

 

Kuai, S. G., Li, W., Yu, C., & Kourtzi, Z. (2017). Contour Integration over Time: Psychophysical and fMRI Evidence. Cerebral Cortex. doi: 10.1093

 

Christian, J., Goldstone, A., Kuai, S. G., Chin, W., Abrams, D., & Kourtzi, Z. (2015). Socio-cognitive profiles for visual learning in young and older adults. Front Aging Neurosci, 7, 105.

 

Kuai, S. G., Levi, D., & Kourtzi, Z. (2013). Learning optimizes decision templates in the human visual cortex. Current Biology, 23(18), 1799-1804.

 

Kuai, S. G., & Kourtzi, Z. (2013). Learning to see, but not discriminate, visual forms is impaired in aging. Psychological Science, 24(4), 412-422.

 

Garcia, A., Kuai, S. G., & Kourtzi, Z. (2013). Differences in the time course of learning for hard compared to easy training. Frontiers in Psychology, 4, 110.

 

Zhang, J. Y.Kuai, S. G., Xiao, L. Q., Klein, S. A., Levi, D. M., & Yu, C. (2008). Stimulus coding rules for perceptual learning. PLoS Biology, 6(8), e197(Equal contributors).

 

Levi, D. M., Yu, C., Kuai, S. G., & Rislove, E. (2007). Global contour processing in amblyopia. Vision Research, 47(4), 512-524.

 

Kuai, S. G., & Yu, C. (2006). Constant contour integration in peripheral vision for stimuli with good Gestalt properties. Journal of Vision, 6(12), 1412-1420.

 

Kuai, S. G., Zhang, J. Y., Klein, S. A., Levi, D. M., & Yu, C. (2005). The essential role of stimulus temporal patterning in enabling perceptual learning. Nature Neuroscience, 8(11), 1497-1499 (Equal contributors).

 

 

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