简介

       刘鹏，百人计划研究员，博导。于2009年获得华中科技大学工业工程系学士学位，2014年获得清华大学工业工程系管理科学与工程博士学位（人因工程方向），曾任天津大学管理与经济学部讲师、副教授，牛津大学实验心理系访问学者。目前以第一作者/通讯作者身份发表SCI/SSCI期刊30余篇，包括1篇ESI热点论文和5篇高被引论文。目前聚焦于自动驾驶交叉科学研究，涉及自动驾驶的社会可接受风险，社会接受度，用户体验，混合交通流，人机共驾，责任，伦理和道德，相关工作发表在Journal of Experimental Psychology: Applied、Risk Analysis、Reliability Engineering and System Safety、Accident Analysis & Prevention、Transportation Research Part A/C和Technological Forecasting & Social Change等期刊上，被国际主流科技媒体ScienceDaily等多次报道。此外，还关注复杂人机系统人因安全问题，进行核电厂数字化主控室操纵员失误和可靠性分析研究。担任三个国际期刊SCI/SSCI/EI的编委或青年学术编委。入选天津市“131”创新型人才培养工程第三层次、天津大学“北洋学者-青年骨干教师”计划。主持2项国家自然科学基金项目（面上项目和青年项目）。

工作简历

2021.04–至今                 百人计划研究员（第一类）                                           浙江大学心理科学研究中心

2019.07–2021.03           副教授                                                                          天津大学管理与经济学部工业工程系

2017.11–2018.11           访问学者（合作教授：Charles Vincent教授）                英国牛津大学实验心理系

2015.11–2019.06           讲师                                                                              天津大学管理与经济学部工业工程系

2014.11–2015.10           博士后（合作导师：童节娟研究员）                              清华大学核能与新能源技术研究院

学历

2009.09–2014.07          管理科学与工程博士                                                工业工程系                        清华大学

2013.08–2013.12          访问学生（指导教师：Raja Parasuraman教授）     心理系                               美国乔治梅森大学

2005.09–2009.06          学士                                                                       工业工程系                        华中科技大学

代表性科研项目

1. 国家自然科学基金面上项目（No. 72071143），2021.01–2024.12，主持

2. 国家自然科学基金青年科学基金项目（No. 71601139），2017.01–2019.12，主持

3. “车联网”教育部-中国移动联合实验室开放基金，2020.11–2022.10，主持

4. 浙江大学百人计划科研启动经费，2021–2027，主持

5. 天津大学“北洋学者-青年骨干教师”计划，2018.01–2019.12，主持

代表性学术论文

1. Liu, P.*, Liu, J.T. (in press). Selfish or utilitarian automated vehicles? Deontological evaluation and public acceptance. International Journal of Human-Computer Interaction.https://doi.org/10.1080/10447318.2021.1876357

2. Liu, P.*, Du, Y (in press). Blame attribution asymmetry in human-automation cooperation. Risk Analysis. https://doi.org/10.1111/risa.13674 (mentioned by ScienceDaily, Eurekalert of AAAS, among others.)

3. Liu, P.*, Fei, Q.Q., Liu, J.T., Wang, J.Q. (in press) Naming is framing: The framing effect of technology name on public attitude towards automated vehicles. Public Understanding of Science. https://doi.org/10.1177/0963662520987806

4. Nordhoff, S., Malmsten, V., van Arem, B., Liu, P., Happee, R. (2021). A structural equation modeling approach for the acceptance of driverless automated shuttles based on constructs from the Unified Theory of Acceptance and Use of Technology and the Diffusion of Innovation Theory. Transportation Research Part F: Psychology and Behaviour, 78, 58–73.

5. Liu, P.^* (2020) Positive, negative, ambivalent, or indifferent? Exploring the structure of public attitudes toward self-driving vehicles on public roads. Transportation Research Part A: Policy and Practice, 142, 27–38.

6. Liu, P.*, Wang, L., & Vincent, C. (2020). Self-driving vehicles against human drivers: Equal safety is far from enough. Journal of Experimental Psychology: Applied, 26(4), 692–704.

7. Peng Liu* & Zhizhong Li. (2020). Quantitative relationship between time margin and human reliability. International Journal of Industrial Ergonomics, 78, 102977.

8. Liu, P.* & Jinting Liu. (2020). Combined effect of multiple performance shaping factors on human reliability: Multiplicative or additive? International Journal of Human-Computer Interaction, 36, 9, 828–838.

9. Liu, P.*, Yong Du, Wang, L.*, Ju, D.Y. (2020). Ready to bully automated vehicles on roads? Accident Analysis & Prevention, 137, 105457.

10.  Liu, P.* & Xu, Z.G.* (2020). Public attitude toward self-driving vehicles on public roads: Direct experience changed ambivalent people to be more positive. Technological Forecasting & Social Change. 151, 119827.

11.  Liu, P., Qiu, Y.P., Hu, J.T., Tong, J.J., Zhao, J., & Li, Z.Z.* (2020). Expert judgments for performance shaping factors’ multiplier design in human reliability analysis. Reliability Engineering and System Safety. 194, 106343.

12.  Liu, P.*, Ma, Y.J, & Zuo, Y.Q. (2019). Self-driving vehicles: Are people willing to trade risks for environmental benefits? Transportation Research Part A: Policy and Practice, 125, 139–149.

13.  Liu, H.W., Yang, R., Wang, L., & Liu, P.* (2019). Evaluating initial public acceptance of highly and fully autonomous vehicles. International Journal of Human-Computer Interaction, 35 (11), 919–931.

14.  Liu, P.*, Xu, Z.G.*, Zhao, X.M. (2019). Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation. Transportation Research Part A: Policy and Practice, 124, 354–369.

15.  Liu, P.* & Wang, R. (2019). Public attitudes toward technological hazards after a technological disaster: Effects of the 2015 Tianjin Port Explosion, Tianjin, China. Disaster Prevention and Management, 28 (2), 216–227.

16.  Liu, P.*, Du, Y, Xu, Z.G. (2019). Machines versus humans: People's biased responses to traffic accidents involving self-driving vehicles. Accident Analysis & Prevention, 125, 232–240.

17.  Liu, P.*, Guo, Q.R., Ren, F., Wang, L., Xu, Z.G.* (2019). Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors. Transportation Research Part C: Emerging Technologies, 100, 306–317.

18.  Liu, P.*, Yang, R., & Xu, Z.G. (2019). Public acceptance of fully automated driving: Effects of social trust and risk/benefit perceptions. Risk Analysis, 39 (2), 326–341.

19.  Liu, P.*, Yang, R., & Xu, Z.G. (2019). How safe is safe enough for self-driving vehicles? Risk Analysis, 39 (2), 315–325. (mentioned by ScienceDaily, among others)

20.  Liu, P.*, Zhang, Y.R., & He, Z. (2019). The effect of population age on the acceptable safety of self-driving vehicles. Reliability Engineering and System Safety, 185, 341–347.

21.  Xu, Z.G., Zhang, K.F., Min, H.G., Zhao, X.M., & Liu, P.* (2018). What drives people to accept automated vehicles? Findings from a field experiment. Transportation Research Part C: Emerging Technologies, 95, 320–334.

22.  Liu, Y.X., Hong, Z.S., Zhu, J., Yan, J.J., Qi, J.Q., & Liu, P.* (2018). Promoting green residential buildings: Residents' environmental attitude, subjective knowledge, and social trust matter. Energy Policy, 112, 152–161.

23.  Liu, P., Lyu, X., Qiu, Y.P., He, J.D., Tong, J.J., Zhao, J., Li, Z.Z.* (2017). Identifying key performance shaping factors in digital main control rooms of nuclear power plants: A risk-based approach. Reliability Engineering and System Safety, 167, 264–275.

24.  Liu, P., Li, Z.Z.* (2016). Comparison between conventional and digital nuclear power plant main control rooms: A task complexity perspective, Part I: Overall results and analysis. International Journal of Industrial Ergonomics, 51, 2–9.

25.  Liu, P., Li, Z.Z.* (2016). Comparison between conventional and digital nuclear power plant main control rooms: A task complexity perspective, Part II: Detailed results and analysis. International Journal of Industrial Ergonomics, 51, 10–20.

26.  Liu, P., & Li, Z.Z.* (2014). Human error data collection and comparison with predictions by SPAR-H. Risk Analysis, 34(9), 1706–1719.

27.  Liu, P., & Li, Z.Z.* (2014). Comparison of task complexity measures for emergency operating procedures: Convergent validity and predictive validity. Reliability Engineering and System Safety, 121, 289–293.

28.  Liu, P., & Li, Z.Z.* (2012). Task complexity: A review and conceptualization framework. International Journal of Industrial Ergonomics, 42 (6), 553–568.

29.  刘鹏, 吕曦, 李志忠 (2015). 任务复杂度对自动化意识的影响. 航空学报, 36(11): 3678-3686.

30.  袁泉, 郝威, 彭勇, 赵晓华, 刘鹏 (2021). 智能车辆人机工程. 北京: 清华大学出版社.

   （注：斜体代表学生，*代表通讯作者）