Title
Associate Research Fellow
□ Doctoral Supervisor √ Master's Supervisor
Colleges and Majors
Industrial Engineering, College of Machinery and Vehicles
Office Address
343, Building 1, Zhongguancun Campus
Zip Code
100081
By mail
yangxn@bit.edu.cn
u 2020 -- Now Assistant Professor, School of Machinery and Vehicle, Beijing Institute of Technology
u 2016 -- 2019 PhD in Industrial Engineering, University of Missouri, USA
u 2014-2016 Master of Industrial Engineering, University of Missouri, USA
u 2010 -- 2014 Shanghai University Industrial Engineering Bachelor of Engineering

一、科研论文
最新论文请参考：Xiaonan Yang (researchgate.net)
▪ Wanting Mao, Yaoguang Hu, Xiaonan Yang*, Weibo Ren & Haonan Fang (2023) ARE-Platform: An Augmented Reality-Based Ergonomic Evaluation Solution for Smart Manufacturing, International Journal of Human–Computer Interaction.
▪ Yang, X. *, Kim, J.H. (2022). Pupil and Electromyography (EMG) Responses to Collision Warning in a Real Driving Environment. Human-Computer Interaction. Technological Innovation. HCII 2022. Lecture Notes in Computer Science, vol 13303. Springer, Cham.
▪ Wang, J., Hu, Y., Yang, X. * (2022). Multi-person Collaborative Augmented Reality Assembly Process Evaluation System Based on HoloLens. Virtual, Augmented and Mixed Reality: Applications in Education,Aviation and Industry. HCII 2022. Lecture Notes in Computer Science, vol 13318. Springer, Cham.
▪ Mao, W., Hu, Y., Yang, X. *, Wang, J. (2022). A Multi-person Collaborative Workshop RULA Verification Method Based on Augmented Reality. HCII 2022. Communications in Computer and Information Science, vol 1583. Springer, Cham.
▪ Kim, J. H., & Yang, X. (2020). Measuring Driver’s Perceived Workload Using Fractal Dimension of Pupil Dilation. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 1620–1624.
▪ Yang, X., & Kim, J. H. (2019). Assessing situation awareness in multitasking supervisory control using success rate of self-terminating search. International Journal of Industrial Ergonomics, 72, 354-362.
▪ Yang, X., Hyup Kim, J., & Nazareth, R. (2019). Hierarchical Task Analysis for Driving under Divided Attention. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1744–174.
▪ Yang, X., & Kim, J. H. (2019, July). Pupillary Response and EMG Predict Upcoming Responses to Collision Avoidance Warning. In International Conference on Applied Human Factors and Ergonomics (pp. 135-143). Springer, Cham.
▪ Yang, Xiaonan, and Jung Hyup Kim. "Measuring Workload in a Multitasking Environment Using Fractal Dimension of Pupil Dilation." International Journal of Human–Computer Interaction (2018): 1-10.
▪ Yang, Xiaonan & Kim, J. H. (2018, July). Acceptance and Effectiveness of Collision Avoidance System in Public Transportation. In International Conference of Design, User Experience, and Usability (pp. 424-434). Springer, Cham.
▪ Kim, J. H., & Yang, X. (2017). Applying fractal analysis to pupil dilation for measuring complexity in a process monitoring task. Applied ergonomics, 65, 61-69.
▪ Yang, X., & Kim, J. H. (2017). The effect of visual stimulus on advanced driver assistance systems in a real driving. In IIE Annual Conference. Proceedings (pp. 1544-1549). Institute of Industrial and Systems Engineers .
二、代表性科研项目
（1）国家重点研发计划，XXXX运维服务模式与孪生反馈技术研究，2022-2025
（2）国家自然科学基金，增强现实环境下人机协同运维认知负荷评估与均衡方法，2022-2024
（3）国防基础加强计划，XXXX眼控交互视觉认知机理与视疲劳避免策略，2022-2024
（4）教育部产学合作协同育人，基于项目制驱动的人因工程实验教学改革，2021-2022

Personal Profile:
Yang Xiaonan, female, assistant professor, Associate researcher, master supervisor, School of Machinery and Vehicle, Beijing Institute of Technology.
His main research direction is intelligent human-computer interaction and human factors engineering. As the project leader, he has presided over key research and development projects of the Ministry of Science and Technology, the National Natural Science Foundation Youth Fund, the National Defense Foundation Strengthening Plan, and the industry-university cooperative education projects of the Ministry of Education. He taught and participated in teaching the core course of Industrial Engineering "Human Factor Engineering", the core course of Intelligent Manufacturing engineering "Intelligent Manufacturing System Design and Operation Control", and the graduate course "Intelligent Production and Manufacturing Service Technology".
He is mainly engaged in the research of human-computer interaction and human factor engineering in complex environments such as intelligent manufacturing, intelligent driving, virtual-real integration, etc., focusing on the research of human cognition and behavior characteristics in human loop systems, including natural human-computer interaction, multi-modal intention recognition, cognitive load, visual cognition mechanism and visual fatigue. Published a number of high-level SCI/EI papers in the field, participated in many international conferences in the field of industrial engineering and human factors engineering, and assisted the organizers to successfully hold Industrial and Systems Engineering Conference (IISE), International Human-Computer Interaction Conference (HCI), Applied Human Factors and Ergonomics Conference (AHFE). Human Factors and Ergonomics Association (HFES) and maintain long-term senior member status, participate in the field of journals and conferences peer review work, applied human Factors and Ergonomics conference Human Factors and Simulation: He is the Session Chair of the Transportation Department and has won several awards in academic presentations.
Research interests: Intelligent Human-Computer Interaction, Human factor Engineering, Intelligent Manufacturing, Intelligent Driving
Recruitment direction: Students with mechanical engineering/Industrial engineering/mathematics/Computer science/Software engineering background who are interested in human factors engineering are welcome to apply.

Personal Profile:
Yang Xiaonan, female, assistant professor, Associate researcher, master supervisor, School of Machinery and Vehicle, Beijing Institute of Technology.
His main research direction is intelligent human-computer interaction and human factors engineering. As the project leader, he has presided over key research and development projects of the Ministry of Science and Technology, the National Natural Science Foundation Youth Fund, the National Defense Foundation Strengthening Plan, and the industry-university cooperative education projects of the Ministry of Education. He taught and participated in teaching the core course of Industrial Engineering "Human Factor Engineering", the core course of Intelligent Manufacturing engineering "Intelligent Manufacturing System Design and Operation Control", and the graduate course "Intelligent Production and Manufacturing Service Technology".
He is mainly engaged in the research of human-computer interaction and human factor engineering in complex environments such as intelligent manufacturing, intelligent driving, virtual-real integration, etc., focusing on the research of human cognition and behavior characteristics in human loop systems, including natural human-computer interaction, multi-modal intention recognition, cognitive load, visual cognition mechanism and visual fatigue. Published a number of high-level SCI/EI papers in the field, participated in many international conferences in the field of industrial engineering and human factors engineering, and assisted the organizers to successfully hold Industrial and Systems Engineering Conference (IISE), International Human-Computer Interaction Conference (HCI), Applied Human Factors and Ergonomics Conference (AHFE). Human Factors and Ergonomics Association (HFES) and maintain long-term senior member status, participate in the field of journals and conferences peer review work, applied human Factors and Ergonomics conference Human Factors and Simulation: He is the Session Chair of the Transportation Department and has won several awards in academic presentations.
Research interests: Intelligent Human-Computer Interaction, Human factor Engineering, Intelligent Manufacturing, Intelligent Driving
Recruitment direction: Students with mechanical engineering/Industrial engineering/mathematics/Computer science/Software engineering background who are interested in human factors engineering are welcome to apply.

(1) American Society for Industrial and Systems Engineering, Member
(2) Chinese Ergonomics Society, Member
(3) Applied Ergonomics, International Journal of Human-Computer Interaction, Sensors, International Journal of Science and Technology Industrial Ergonomics Reviewer