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Yingchen He

Assistant Professor

Department of Psychology

Poe Hall 710

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Yingchen He is an Assistant Professor in the Human Factors and Applied Cognition Program at the Department of Psychology. She has been at NC State since 2020, directing the Translational Vision Research Lab. She completed her undergraduate study at Beijing University in China (major: Biological Sciences and Psychology), and obtained her Ph.D. degree in Cognitive Psychology from the University of Minnesota. Her Ph.D. work focused on understanding the sensory and cognitive constraints limiting reading performance, and designing training protocols to improve reading speed (especially for people with visual impairments). After graduation, she received postdoctoral training at the Department of Ophthalmology and Visual Neurosciences at the University of Minnesota. Working with a retina surgeon, she studied the brain plasticity of blind individuals who have partially regained sight through retinal implants. She also conducted objective evaluation of their functional vision, and collaborated with industrial partners to optimize the function the retinal implants.

Dr. He’s work is at the intersection of cognitive psychology, engineering, and health. At the basic science level, her work addresses fundamental questions about visual processing and the impact of eye diseases on it. At the practical level, she applies her knowledge to understand the vision-related human factors in the design of training protocols and assistive technologies, providing solutions to overcome vision loss. Please visit the Translational Vision Research Lab website for more information.



Research Publications

He, Y., Sun, S., Roy, A., Caspi, A., & Montezuma, S. R. (2020). Improved mobility performance with an artificial vision therapy system using a thermal sensor. Journal of Neural Engineering17.

Montezuma, S. R., Sun, S. Y., Roy, A., Caspi, A., Dorn, J. D., & He, Y. (2020). Improved localisation and discrimination of heat emitting household objects with the artificial vision therapy system by integration with thermal sensor. British Journal of Ophthalmology, bjophthalmol-2019-315513.

He, Y., Huang, N. T., Caspi, A., Roy, A., & Montezuma, S. R. (2019). Trade-off between field-of-view and resolution in the thermal-integrated Argus II system. Transl Vis Sci Technol, 8(4):29.

Baskaran, K., Macedo, A. F., He, Y., Hernandez-Moreno, L., Queirós, T., Mansfield, J. S., & Calabrèse, A. (2019). Scoring Reading Parameters: An Inter-Rater Reliability Study Using The MNREAD Chart. PLoS ONE, 14(6): e0216775.

He, Y., Legge, G. E., & Kwon, M. (2018). Common constraints limit Korean and English character recognition in peripheral vision. Journal of Vision, 18(1):5, 1–15.

Calabrese, A., To, L., He, Y., Berkholtz, E., Rafian, P., & Legge, G. E. (2018). Comparing Performance on the MNREAD iPad app with the MNREAD acuity chart. Journal of Vision, 18(1):8, 1-11.

He, Y., & Legge, G. E. (2017). Linking crowding, visual span, and reading. Journal of Vision, 17(11):11, 1-15.

Calabrèse, A., Cheong, A. M. Y., Cheung, S. H., He, Y., Kwon, M. Y., Mansfield, J. S., … Legge, G. E. (2016). Baseline MNREAD measures for normally sighted subjects from childhood to old age. Investigative Ophthalmology and Visual Science, 57(8), 3836–3843.

He, Y., Scholz, J., Gage, R., Kallie, C., Liu, T., & Legge, G. E. (2015). Comparing the Visual Spans for Faces and Letters. Journal of Vision15(8), [7].

Chen, J., He, Y., Zhu, Z., Zhou, T., Peng, Y., Zhang, X., & Fang, F. (2014). Attention-dependent early cortical suppression contributes to crowding. The Journal of Neuroscience, 34(32), 10465-10474.

He, Y., Legge, G. E., & Yu, D. (2013). Sensory and Cognitive Influences on the Training-Related Improvement of Reading Speed in Peripheral Vision. Journal of Vision13(7), 1-14.


Ph.D. Cognitive and Brain Sciences University of Minnesota, Twin Cities 2017

B.S. Biological Sciences Beijing University 2011

B.S. Psychology Beijing University 2011

Area(s) of Expertise

Visual constraints in daily tasks including reading, object recognition, and navigation; accessibility of technology for people with visual differences; training and rehabilitation for people with vision loss; and brain plasticity following training, long-term vision loss, and the regaining of sight.