CV

Henan University

Bachelor of Science, Applied Psychology · Kaifeng, China

• Weighted average score: 87.01/100; GPA: 3.41/4.00
• TOEFL iBT: 6.0/6.0
• Selected coursework: Psychological Statistics, Experimental Psychology, Cognitive Psychology, Advanced Psychology Research Methods
• Online coursework (Coursera): Linear Algebra, Calculus, Machine Learning, Python for Everybody

From overt deterrence to covert internalization: Moral effects of AI regulation and the moderating role of personality traits

Jianshu Wang, Xiaowei Jiang, Yanan Chen, Minghui Wang, Feng Du

Acta Psychologica Sinica, 58(3), 381–398

Published.

Bidirectional benefits: Interbrain synchronization and role-specific neural signatures in interpersonal emotion regulation

Yunkai Yang, Jinxin He, Luxin Wang, Jianshu Wang, Jingwen Xu, Xiaowei Jiang, Na Ao, Pengyi Zhang, Yanan Chen, Minghui Wang, Feng Du

Emotion

Published online in May 2026.

Effects of Cognitive Load and Time Interval on Takeover Performance and Situational Awareness in Two-Stage Warning System: An Individual Difference Perspective

Jianshu Wang, Yanan Chen

IEEE Transactions on Intelligent Transportation Systems (submitted)

Manuscript submitted.

Beyond Motion Intensity: Task-Relative Motion Geometry and Directional Response Time During Whole-Body Motion

Jianshu Wang, Yulong Bian, Siyu Liu, Yawen Zheng, Hao Zhang, Yuan Yue, Tangjun Qu, Yang Li, Yan Hu, Yutao Xie, Chao Zhou, Jin Huang, Feng Tian

CHI 2027 (submitted)

Manuscript submitted to CHI 2027.

Community Environment and Resident Well-Being from an Affordance Perspective: Implicit Associations and Evidence Accumulation

Ran Liu, Jianshu Wang, Huijun Wang, Chang Liu, Guang Zhao, Ze Geng

Journal of Environmental Psychology (submitted)

Manuscript submitted. Corresponding author: Ze Geng.

The effect of input cost and reward/punishment cues on performance in simple cognitive tasks: An ERP study

Jianshu Wang, Xuemeng Wang, Yanan Chen

Submitted manuscript

Manuscript submitted.

Does Motion Intensity Impair Cognition in HCI? The Critical Role of Physical Motion-Visual Target Directional Congruency

Jianshu Wang, Siyu Liu, Chao Zhou, Yawen Zheng, Yuan Yue, Tangjun Qu, Yang Li, Yutao Xie, Jin Huang, Yulong Bian, Feng Tian

arXiv:2601.12884

Earlier preprint version of the whole-body motion project.

Research Assistant

Lifedu Educational Technology Co., Ltd. · Beijing, China

Supervisor: Dr. Ze Geng (Principal Investigator). EEG analysis and behavioral modeling.

• Conduct EEG preprocessing and data analysis for cognitive and behavioral research.
• Apply computational behavioral modeling and integrate behavioral models with neural measures.

Research Intern

Institute of Software, Chinese Academy of Sciences (ISCAS) · Beijing, China

Supervisors: Dr. Chao Zhou and Yulong Bian. Human performance during whole-body motion.

• Developed Unity-based directional-judgment experiments on a 6-DOF motion platform.
• Analyzed response times in relation to task-relative motion components and individual differences; contributed to a manuscript submitted to CHI 2027.

Independent Research Project

Human Factors in Driving Takeover

Supervisor: Prof. Yanan Chen.

• Independently developed a Unity-based VR driving scenario using PICO 4 Pro, integrating eye tracking with ECG, GSR, and EMG recording.
• Designed a two-stage warning experiment examining cognitive load and the monitoring-to-takeover request interval in situation-awareness recovery and takeover performance.
• Analyzed behavioral and physiological data alongside individual differences in personality and driving style.

Research Intern

Shenzhen University · Shenzhen, China

Supervisor: Prof. Zhenhong He. Loss and compensation in decision-making.

• Designed experiments and programmed behavioral tasks in PsychoPy for research on loss and compensatory decisions.
• Developed Python data-analysis pipelines and applied drift diffusion and reinforcement-learning models to behavioral data.

Independent Research Project

Human-AI Ethics

Supervisor: Prof. Yanan Chen.

• Designed and programmed PsychoPy experiments examining how AI supervision and incentives influence dishonest behavior and ethical decision-making.
• Analyzed behavioral data in Python/R using mixed-effects models; the resulting article was published in Acta Psychologica Sinica.

Effort-Based Behavior and ERP

Research Leader, May 2023–Feb 2024. Collected and analyzed behavioral and ERP data in Python/R using a Monetary Incentive Delay task.

Social Network and Neural Similarity

Co-researcher, Nov 2022–Apr 2023. Preprocessed and analyzed EEG data in MATLAB/Python to study neural similarity and social relationships.

Neural and physiological data

• EEG/ERP
• fNIRS
• MNE
• eye tracking
• ECG
• GSR
• EMG

Behavioral modeling and statistics

• Drift diffusion models (DDM/PyDDM)
• reinforcement-learning models
• mixed-effects models
• Python
• R
• MATLAB
• SPSS

Machine learning

• scikit-learn

Experiment development

• PsychoPy
• Unity/VR
• C#
• LaTeX