Jing Feng

Associate Faculty

Jing Fengis an assistant professor in the Human Factors and Applied Cognition Program at the Department of Psychology, North Carolina State University. She completed her undergraduate study at Zhejiang University in China and received her M.A. and Ph.D. degrees in Cognitive Psychology at the University of Toronto in Canada. Prior to joining NC State, she received postdoctoral training at the Rotman Research Institute at Baycrest on the cognitive neuroscience of aging, and at the Department of Mechanical and Industrial Engineering, the University of Toronto, on human factors in driving.

She is the recipient of the 2016-2017 Outstanding Junior Faculty Award from the College of Humanities and Social Sciences and is selected as a member of NC State’s 2017-2018 class of University Faculty Scholars.


A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis
Alili, A., Nalam, V., Li, M., Liu, M., Feng, J., Si, J., & Huang, H. (2023), IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 895–903. https://doi.org/10.1109/TNSRE.2023.3236217
Age differences in driver visual behavior and vehicle control when driving with in-vehicle and on-road deliveries of service logo signs
Feng, J., Deng, Y., Lau, M. Y., Cauffman, S. J., Johnson, E., Cunningham, C., & Kaber, D. B. (2023), INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 93. https://doi.org/10.1016/j.ergon.2022.103386
Using 3D virtual fitting room stimuli to enhance older adults' spatial visualization skills
Hwang, C., & Feng, J. (2023, July 20), FAMILY & CONSUMER SCIENCES RESEARCH JOURNAL, Vol. 7. https://doi.org/10.1111/fcsr.12486
A Two-Part Approach Distinguishing the Occurrence and Frequency of Self-reported Attentional Failures During Driving to Predict Crash Risks Among Older Drivers
Choi, H. S., Feng, J., & Gruhn, D. (2022, May 21), JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES. https://doi.org/10.1093/geronb/gbac077
Research and Design Considerations for Presentation of Non-Safety Related Information via In-Vehicle Displays during Automated Driving
Cauffman, S. J., Lau, M., Deng, Y., Cunningham, C., Kaber, D. B., & Feng, J. (2022), APPLIED SCIENCES-BASEL, 12(20). https://doi.org/10.3390/app122010538
Standing and Walking Attention Visual Field (SWAVF) task: A new method to assess visuospatial attention during walking
Yuan, J., Bai, X., Driscoll, B., Liu, M., Huang, H., & Feng, J. (2022), APPLIED ERGONOMICS, 104. https://doi.org/10.1016/j.apergo.2022.103804
Technology-driven design process: teaching and mentoring technology-driven design process in industrial design education
Kim, B., Joines, S., & Feng, J. (2022, March 23), INTERNATIONAL JOURNAL OF TECHNOLOGY AND DESIGN EDUCATION, Vol. 3. https://doi.org/10.1007/s10798-022-09739-0
An Attention Assessment for Informing Older Drivers' Crash Risks in Various Hazardous Situations (vol 59, pg 112, 2019)
Choi, H. S., Kasko, J., & Feng, J. (2021, February), GERONTOLOGIST, Vol. 61, pp. 136–136. https://doi.org/10.1093/geront/gny170
Cognitive measures during walking with and without lower-limb prosthesis: protocol for a scoping review
Yuan, J., Cline, E., Liu, M., Huang, H., & Feng, J. (2021). [Review of , ]. BMJ OPEN, 11(2). https://doi.org/10.1136/bmjopen-2020-039975
Drive aware training: A computerized training program for older drivers' detection of road hazards
Yuan, J., Crowson, A., Richardson, G., & Feng, J. (2021, May 17), TRAFFIC INJURY PREVENTION. https://doi.org/10.1080/15389588.2021.1929944

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Jing Feng