助理教授

黄春喜

黄春喜,博士,助理教授。研究兴趣泛在交通工具(如两轮车、汽车、eVTOL、飞机等)中的人因工程、人机交互、以人为中心的设计等。曾参与多项各级科研项目和企业合作项目,相关研究成果主要发表在人因和交通领域SCI/SSCI刊(如: Accident Analysis & Prevention, IEEE Transactions on Human-Machine Systems, Computers in Human Behavior, Transportation Research Part F: Traffic Psychology and Behaviour, International Journal of Human-Computer InteractionTransportation Research Record等)及相关国际会议上(如:HFES Annual Meeting, AHFE Conference, TRB Annual Meeting, AutoUI, IEA Triennial Congress等),同时担任IEEE TITSIJHCI、IJAT等多个国际期刊的审稿人。

欢迎各位感兴趣的同学(背景不限)联系交流!

邮箱:tracyhuang@hnu.edu.cn

教育经历

2014. 9 – 2018. 7 浙江大学 工业工程专业,获学士学位

2018. 8 – 2020. 8 韩国科学技术院 工业与系统工程,获硕士学位

2021. 9 – 2024. 8 香港科技大学 机器人与自主系统(跨学科课程),获博士学位

部分论文

[1] Huang, C., Wang Z., & He, D. (2024). The Effect of Dual Training on the Hazard Response and Attention Allocation of Novice Drivers When Driving with Advanced Driver Assistance System. Accident Analysis & Prevention, 208, 107802.

[2] Huang, C., Wang, J., Yan, S., & He, D. (2024). Exploring Factors Related to Drivers’ Mental Model of and Trust in Advanced Driver Assistance Systems Using an ABN-Based Mixed Approach. IEEE Transactions on Human-Machine Systems, 1-12.

[3] Huang, C., Wang, A., Yan, S., & He, D. (2024). Investigating the Interrelationships among Factors Associated with Automated Vehicle Crashes Using Additive Bayesian Network. Transportation Research Record, 03611981241274152.

[4] Huang, C., Yan, S., Xie, W., & He, D. (2024). When Is Voice Control System in Vehicles Preferred? A Survey Study in China. Transportation Research Record, 03611981241240771.

[5] Huang, C., Wen, X., & He, D. (2024). Characteristics of rear-end collisions: a comparison between automated driving system-involved crashes and advanced driving assistance system-involved crashes. Transportation Research Record, 2678(7), 771-782.

[6] Huang, C., He, D., Wen, X., & Yan, S. (2023). Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies. Frontiers in Psychology, 14, 1236062.

[7] 黄春喜,谢炜垠,黄奇浩,朱言,崔迪潇,贺登博. (2024).辅助驾驶系统对重型卡车驾驶员长途驾驶中疲劳程度的影响.同济大学学报(自然科学版),2024,52(06):846-855.

[8] Huang, C., Wen, X., He, D., & Jian, S. (2022). Sharing the road: how human drivers interact with autonomous vehicles on highways. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 66, No. 1, pp. 1437-1441). Sage CA: Los Angeles, CA: SAGE Publications.

[9] Huang, C., Yan, S., & He, D. (2023). Assessing Drivers’ Mental Model of Advanced Driver Assistance Systems Using Signal Detection Theory. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (p. 21695067231193671). Sage CA: Los Angeles, CA: SAGE Publications.

[10] Huang, C., & He, D. (2023). Using Sensitivity and Bias in Signal Detection Theory to Predict Proportion Correctness: Simulation and Case Study on ADAS Mental Model Evaluation. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (p. 21695067231193662). Sage CA: Los Angeles, CA: SAGE Publications.

[11] Wen, X., Huang, C., Jian, S., & He, D. (2023). Analysis of discretionary lane-changing behaviours of autonomous vehicles based on real-world data. Transportmetrica A: Transport Science, 1-24.

[12] Yan, S., Huang, C., & He, D. (2023). A comparison of patterns and contributing factors of ADAS and ADS involved crashes. Journal of Transportation Safety & Security, 1-28.

[13] Wang, J., Huang, C., Xie, W., He, D., & Tu, R. (2024). Rethink data-driven human behavior prediction: A psychology-powered explainable neural network. Computers in Human Behavior, 108245.

[14] Wang A., Huang, C., Wang, J., & He, D. (2024). The Association between Physiological and Eye-tracking Metrics and Cognitive Load in Drivers: A Systematic Review and Meta-analysis. Transportation Research Part F: Traffic Psychology and Behaviour, 104, 474-487.

[15] Wang, J., Huang, C., Yan, S., Xie, W., & He, D. (2024). When Young Scholars Cooperate with LLMs in Academic Tasks: The Influence of Individual Differences and Task Complexities. International Journal of Human–Computer Interaction, 1–16.

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