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Deng, C.L., Sun, L., Zhou, C., & Kuai S.G. (2023). Dual-Gain Mode of Head-Gaze Interaction Improves the Efficiency of Object Positioning in a 3D Virtual Environment. International Journal of Human–Computer Interaction[PDF]
Zhou, C., Miao, M. C., Chen, X. R., Hu, Y. F., Chang, Q., Yan, M. Y. & Kuai, S. G. (2022). Human-behaviour-based social locomotion model improves the humanization of social robots. Nature Machine Intelligence[PDF]
邓成龙, 耿鹏, & 蒯曙光. (2022). 三维虚拟空间中转头选中远离和靠近运动目标的操作特性差异. 心理学报[PDF]
Han, M., Wang, X. M., & Kuai, S. G. (2022). Social rather than physical crowding reduces the required interpersonal distance in virtual environments. PsyCh Journal.[PDF]
邓成龙,赵铭,蒯曙光. (2022). 身体偏转对虚拟现实头控交互操作的影响. 人类工效学[PDF]
Deng, C. L., Tian, C. Y., & Kuai, S. G. (2022). A combination of eye-gaze and head-gaze interactions improves efficiency and user experience in an object positioning task in virtual environments. Applied Ergonomics, 103, 103785.[PDF]
邓成龙,蒯曙光. (2021). 虚拟现实空间中角度量参数包含深度对放置任务操作时间的影响. 人类工效学[PDF]
Tan, H., Peng, S. L., Zhu, C. P., You, Z., Miao, M. C., & Kuai, S. G. (2021). A long-lasting negative effect of COVID-19 pandemic on public sentiment: a full-year tracking of online public sentiment in mainland China. Journal of Medical Internet Rese[PDF]
沈靖,杨晓晴,王振宇,凌若蓝,蒯曙光. (2021). 虚拟现实技术在欺骗研究中的应用. 应用心理学[PDF]
Kuai, S. G., Liang, Q., He, Y. Y., & Wu, H. N. (2020). Higher anxiety rating does not mean poor speech performance: dissociation of the neural mechanisms of anticipation and delivery of public speaking. Brain Imaging and Behavior, 1-10.[PDF]
Kuai, S. G., Shan, Z. K. D., Chen, J., Xu, Z. X., Li, J. M., Field, D. T., & Li, L. (2020). Integration of motion and form cues for the perception of self-motion in the human brain. Journal of Neuroscience, 40(5), 1120-1132.[PDF]
Zhao, Y., Kuai, S., Zanto, T. P., & Ku, Y. (2020). Neural Correlates Underlying the Precision of Visual Working Memory. Neuroscience, 425, 301-311.[PDF]
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[PDF]
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, 61(6), 879-894.[PDF]
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, 3(8), 847-855.[PDF]
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.[PDF]
Safdar, M., Luo, M. R., Mughal, M. F., Kuai, S., 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.[PDF]
李明英,吴惠宁,蒯曙光,张畅芯. (2017). 虚拟现实技术在执行功能评估中的应用. 心理科学进展[PDF]
Kuai, S. G., Li, W., Yu, C., & Kourtzi, Z. (2017). Contour integration over time: psychophysical and fMRI evidence. Cerebral Cortex, 27(5), 3042-3051.[PDF]
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. Frontiers in aging neuroscience, 7, 105.[PDF]
Kuai, S. G., Levi, D., & Kourtzi, Z. (2013). Learning optimizes decision templates in the human visual cortex. Current Biology, 23(18), 1799-1804.[PDF]
Kuai, S. G., & Kourtzi, Z. (2013). Learning to see, but not discriminate, visual forms is impaired in aging. Psychological science, 24(4), 412-422.[PDF]
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.[PDF]
Levi, D. M., Yu, C., Kuai, S. G., & Rislove, E. (2007). Global contour processing in amblyopia. Vision Research, 47(4), 512-524.[PDF]
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.[PDF]