| Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences M Chu, K Zong, X Shu, J Gong, Z Lu, K Guo, X Dai, G Zhou Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 14 | 2023 |
| Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display J Gong, J Sun, M Chu, X Wang, M Luo, Y Lu, L Zhang, Y Wu, Q Wang, ... Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1), 1-29, 2023 | 5 | 2023 |
| Annotating Covert Hazardous Driving Scenarios Online: Utilizing Drivers' Electroencephalography (EEG) Signals C Zheng, M Zi, W Jiang, M Chu, Y Zhang, J Yuan, G Zhou, J Gong 2023 IEEE International Conference on Robotics and Automation (ICRA), 1456-1462, 2023 | 3 | 2023 |
| A High Fidelity Simulation Framework for Potential Safety Benefits Estimation of Cooperative Pedestrian Perception L Chen, Y Zhang, W Jiang, J Gong, J Shen, M Chu, C Li, Y Pan, Y Shi, ... arXiv preprint arXiv:2210.08731, 2022 | 1 | 2022 |
| What Makes a Fantastic Passenger-Car Driver in Urban Contexts? Y Yu, Z Yi, X Yang, M Chu, J Lu, X Chang, Y Liu, J Qin, Y Jin, J Song, ... arXiv preprint arXiv:2311.04150, 2023 | | 2023 |
| Evaluation of Pedestrian Safety in a High-Fidelity Simulation Environment Framework L Ma, L Chen, Y Zhang, M Chu, W Jiang, J Shen, C Li, Y Shi, N Luo, ... arXiv e-prints, arXiv: 2210.08731, 2022 | | 2022 |