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  • 周荣刚 ( 教授 )

    的个人主页 http://shi.buaa.edu.cn/zhouronggang/zh_CN/index.htm

  •   教授   博士生导师
个人简介

周荣刚, 理学博士, 北京航空航天大学经济管理学院教授, 博士生导师。北航经管学院智能交互与体验研究中心负责人, 现任中国人类工效学学会常务理事、智能交互与体验分会副主任委员兼秘书长、中华人因与工效学协会理事兼秘书长、中国心理学会工程心理学专业委员会副主任委员、国际期刊International Journal of Industrial Ergonomics和中文期刊《人类工效学》编委。

主要教学和研究领域为工程心理学、人因工程、客户体验管理、人机协同智慧管理与决策。先后主持国家自然科学基金重点和面上项目、航空基金、人因工程全国重点实验室基金、北京市自然科学基金等各类课题30余项。在人因与工效学领域的权威期刊及重要国际会议上发表论文120余篇, 获国家发明授权专利8, 曾连续六年入选爱思唯尔中国高被引学者榜单 (2014-2019)。目前主持国家自然科学基金面向人机物融合的智能化软件基础研究重大研究计划重点支持项目知识数据双驱动的组织建模、影响评估与精确调控技术研究(No. 92582204; 2026-2029)


 Q  教育背景


2000.09 - 2005.05

中国科学院研究生院(中国科学院大学)/中国科学院心理研究所, 应用心理学专业, 理学博士


1996.09 - 2000.07

首都师范大学教育系, 学校教育专业, 教育学学士


 
Q  工作经历


2017.07 至今

北京航空航天大学经济管理学院, 教授


2011.07 - 2017.07

北京航空航天大学经济管理学院, 副教授


2008.09 - 2011.07

北京航空航天大学经济管理学院, 讲师


2006.10 - 2008.09

清华大学工业工程系, 博士后 


2005.05 - 2006.10

华为技术有限公司UCD研究部, 人因工程师


 Q  荣誉与奖励

w   北京航空航天大学优秀硕士学位论文指导教师, 2026, 2018

w   北京航空航天大学优秀本科毕业论文指导教师, 2024, 2016, 2013

w   爱思唯尔中国高被引学者(社会科学), 2014-2019

w   获北京航空航天大学青年拔尖人才支持计划资助, 2017

w   获首届香江学者计划资助/第四批中国博士后基金特别资助, 2011

 

 Q  学术兼职

w    中国人类工效学学会理事(2018至今)、常务理事(2020 至今)

w    中国人类工效学学会智能交互与体验分会副主任委员兼秘书长(2020 至今)

w    中国心理学会工程心理学专业委员会委员(2016至今)、副主任委员(2025 至今)

w    中华人因与工效学协会理事(2014 至今)、秘书长(2019 至今)

w   中文《人类工效学》期刊编委, 2013 至今

w   Editorial Board, International Journal of Industrial Ergonomics, 2026.06-Present

w   Leading Guest Editor, “User Experience and Human-AI Interaction: Design, Trust, and Collaboration”, International Journal of Industrial Ergonomics, 2025.05-Present

w   Guest Editor, “Enhancing Geriatric Care with AI: Strategies for Fall Prevention and Aging-in-Place”, Frontiers in Aging, 2025-2026

w   Member, Advisory Group on Standardization in the International Ergonomics Association (IEA-AGS), 2023-Present

 

 Q  课程教学

w   人因工程 (本科生)、人因工程基础理论 (研究生)

w   本科生课程:可用性工程、用户体验度量、智能交互与体验

w   本科生课程:**心理学/Military Psychology


 Q  学生培养

w   指导博士研究生16人,其中已毕业5

w   指导各类型硕士研究生多人

w   学科专业: 管理科学与工程 (硕、博), 交通运输 (专业博士学位)

 

 Q  研究兴趣

聚焦人机协同智慧管理与决策方向,研究人机物智能融合协同中关键心智规律的识别、计算及其驱动的人因效能提升:

w   人与智能系统协同的心理机制和计算建模:认知偏差、人机信任、情境意识、人工心智

w   人因效能评估、设计和管理体系建设:评估模型、人因差错、新型显控、体验管理

w   面向安全的人员心理测评、选拔和行为干预:驾驶安全、航空航天人因、认知干预

 

 Q  科研项目

  1. 国家自然科学基金重点项目:知识数据双驱动的组织建模、影响评估与精确调控技术研究,交叉学部“面向人机物融合的智能化软件基础研究”重大研究计划重点支持项目 92582204,主持,2026.01-2029.12,在研

  2. 国家自然科学基金面上项目:自动驾驶接管中的人因工程问题研究—基于驾驶风格的视角,管理学部 72171015, 主持,2022.01-2025.12,结题

  3. 国家自然科学基金创新群体项目:绿色导向的社会经济复杂系统管理决策,管理学部 72021001,核心成员,2021.01-2025.12,结题

  4. 国家自然科学基金专项项目:移动应用用户体验质量感知及使用决策的认知加工过程研究,管理学部 71640034,主持,2017.01-2018.12,结题

  5. 国家自然科学基金面上项目:驾驶中移动电话的使用--基于补偿式信念的自我调整行为研究,生命学部 31271100,主持,2013.01-2016.12,结题

  6. 国家自然科学基金青年基金项目:参照系整合条件下方位识别中的判断策略,生命学部 30800304,主持,2009.01-2011.12,结题


 Q  期刊论文

  1. Liu, Y.,  Zhou, R*., & Zhi, X.  (2026). How cumulative default recommendations asymmetrically shape user compliance in human–automation decision-making?. International Journal of Industrial Ergonomics, 115, 104030. https://doi.org/10.1016/j.ergon.2026.104030

  2. Zhu, Y., & Zhou, R*. (2026). Maintain Preference for Autonomous System or Human-Controlled System? The Influence of Trust Conflict and Algorithm Aversion. International Journal of Human–Computer Interaction, 1–33. https://doi.org/10.1080/10447318.2026.2687131

  3. Xie, Y., Liu, Z., Zhou, R*., Chan, A. H. S., & Tan, B. (2026). Beyond Algorithm Aversion: The Role of Power Relationships in Shaping Mutual Trust in Human-AI Team. International Journal of Human–Computer Interaction, 1–26. https://doi.org/10.1080/10447318.2026.2651345

  4. Guo, X., & Zhou, R*. (2026). Let the Bridge of Emotion Connect Me to It: A Bibliometric Review of Emotion Research in Human–Machine Interaction. International Journal of Human–Computer Interaction, 1–23. https://doi.org/10.1080/10447318.2026.2679614

  5. Man, S. S., Zhou, R., Peng, L., & Chan, A. H. S. (2026). Enhancing geriatric care with AI: strategies for fall prevention and aging-in-place. Frontiers in Aging7, 1859857.

  6. Chen, B., Zhu, Z., Zhou, X., Zhou, R., Tao, X., & Chen, A. (2026). Simulation intelligence: A novel paradigm for simulation research in the era of Artificial Intelligence. The Innovation Informatics2(2), 100045-1.

  7. Liu, Z., He, X., Xie, Y., & Zhou, R*. (2026). Do large language model outputs exhibit algorithm aversion? A case study using GPT-3.5. International Journal of Industrial Ergonomics113, 103937. https://doi.org/10.1016/j.ergon.2026.103937

  8. Zhao, R., Xie, Y., Nie, Z., & Zhou, R*. (2026). How Do People Communicate with Conversational Agents? Identifying Communication Styles Through Lexical and Acoustic Features. International Journal of Human–Computer Interaction, 1–22. https://doi.org/10.1080/10447318.2026.2643349

  9. He, X., Zhu, Y., Zhou, R*., & Wu, R*. (2026). Influence of road scenarios and psychological factors on people’s acceptance of autonomous vehicle labelling. Ergonomics, 1-14.

  10. Zhang, Y., Zhou, R*., Ma, Q., Liu, Y., & Qu, J. (2026). How to provide information sources and comments in conversational agent response content: The roles of specialists and internet users. International Journal of Industrial Ergonomics112, 103890.

  11. Xie, Y., Zhou, R*., Chan, A. H. S., & Xiong, D*. (2025). Do You Trust Me? Measuring People’s Perception of Being Trusted by AI in a Human-Agent Team. International Journal of Human-Computer Interaction, 1-19.

  12. Liu, D., Chen, Z., Zhu, W., Jia, G., & Zhou, R*. (2025). The effects of tones and time pressure on the user experience of voice input on mobile devices for Mandarin Chinese: an experimental study. Behaviour & Information Technology, 44(2), 337-356.

  13. Xie, Y., Liu, Y., Zhou, R*., Zhi, X., & Chan, A. H. (2024). Wait or Pass? Promoting intersection’s cooperation via identifying vehicle’s social behavior. Accident Analysis & Prevention, 206, 107724.

  14. Xie, Y., Qu, J., Zhang, Y., Zhou, R*., & Chan, A. H. S. (2024). Speaking, fast or slow: how conversational agents’rate of speech influences user experience. Universal Access in the Information Society, 23(4), 1947-1956.

  15. Zhang, Y., Ma, Q., Qu, J., & Zhou, R*. (2024). Effects of driving style on takeover performance during automated driving: Under the influence of warning system factors. Applied Ergonomics117, 104229.

  16. Ma, Q., Zhang, Y., Xu, W., & Zhou, R*. (2024). Ask a further question or give a list? how should conversational agents reply to users’ uncertain queries. International Journal of Human-Computer Interaction40(5), 1087-1101.

  17. Chen, Z., Liu, D., Zhu, W., Jia, G., & Zhou, R*. (2024). The Effects of text type and text length on the experience of mandarin voice perception on smart mobile devices. International Journal of Human-Computer Interaction40(4), 1022-1031.

  18. Qu, J., Zhou, R*, Zhang, Y., & Ma, Q. (2023). Understanding trust calibration in automated driving: the effect of time, personality, and system warning design. Ergonomics, 66(12), 2165-2181.

  19. Zhang, Y., Zhou, R*., & Shi, Y. (2023). Drivers’ self-regulatory behaviors in active and responsive scenarios. Traffic Injury Prevention24(3), 262-270.

  20. Xie, Y., Zhou, R*., & Qu, J. (2023). Fitts’ law on the flight deck: evaluating touchscreens for aircraft tasks in actual flight scenarios. Ergonomics66(4), 506-523.

  21. Xie, Y., Zhou, R*., Chan, A. H. S., Jin, M., & Qu, M. (2023). Motivation to interaction media: The impact of automation trust and self-determination theory on intention to use the new interaction technology in autonomous vehicles. Frontiers in Psychology14, 216.

  22. He, X., Nie, X., Zhou, R*., Yang, J., & Wu, R. (2023). The risk-taking behavioural intentions of pilots in adverse weather conditions: an application of the theory of planned behaviour. Ergonomics66(8), 1043-1056.

  23. Wang, X., & Zhou, R*. (2023). Impacts of user expectation and disconfirmation on satisfaction and behavior intention: The moderating effect of expectation levels. International Journal of Human-Computer Interaction39(15), 3127-3140.

  24. Liu, Y., Cui, W., Zhou, R*., & Chan, A. H. (2022). The effects of social conformity and gender on drivers’ behavioural intention toward level 3 automated vehicles. Travel Behaviour and Society, 29, 330-338.

  25. Wang, Y., Zhang, W., & Zhou, R*. (2022). Speech-based takeover requests in conditionally automated driving: Effects of different voices on the driver takeover performance. Applied Ergonomics101, 103695.

  26. Ma, Q., Zhou, R.*, Zhang, C., Chen, Z*. (2022). Rationally or emotionally: how should voice user interfaces reply to users of different genders considering user experience? Cognition, Technology & Work, 24, 233-246.

  27. Qu, J., Zhou, R*., & Chen, Z. (2022). The effect of personal pronouns on users and the social role of conversational agents. Behaviour & Information Technology41(16), 3470-3486.

  28. Zhang, Y., & Zhou, R.* (2021). Promoting social distancing and preventing panic buying during the epidemic of COVID-19: the contributions of people’s psychological and behavioural factors. Journal of Public Health, 1-15.

  29. Yu, M., Zhou, R.*, Cai, Z., Tan, C. W., & Wang, H. (2020). Unravelling the relationship between response time and user experience in mobile applications. Internet Research, 30(5), 1353-1382.

  30. Zhou, R.*, Zhang, Y., & Shi, Y. (2020). Driver's distracted behavior: The contribution of compensatory beliefs increases with higher perceived risk. International Journal of Industrial Ergonomics, 80, 103009.

  31. Yu, M., Zhou, R.*, Wang, H., & Zhao, W. (2019). An evaluation for VR glasses system user experience: The influence factors of interactive operation and motion sickness. Applied Ergonomics74, 206-213.

  32. Xia, B., Wang, H., & Zhou, R.* (2019). What contributes to success in MOBA games? An empirical study of defense of the ancients 2. Games and Culture14(5), 498-522.

  33. Zhou, R.*, Wang, X., Shi, Y., Zhang, R., Zhang, L., & Guo, H. (2019). Measuring e-service quality and its importance to customer satisfaction and loyalty: an empirical study in a telecom setting. Electronic Commerce Research19(3), 477-499.

  34. Zhou, R.*, Wang, X., Zhang, L., & Guo, H. (2017). Who tends to answer open-ended questions in an e-service survey? The contribution of closed-ended answers. Behaviour & Information Technology36(12), 1274-1284.

  35. Ba, Y., Zhang, W., Wang, Q., Zhou, R., & Ren, C. (2017). Crash prediction with behavioral and physiological features for advanced vehicle collision avoidance system. Transportation Research Part C: Emerging Technologies74, 22-33.

  36. Zhou, R.*, & Feng, C. (2017). Difference between leisure and work contexts: The roles of perceived enjoyment and perceived usefulness in predicting mobile video calling use acceptance. Frontiers in Psychology8, 350.

  37. Li, F.*, Wang, G., Li, Y., & Zhou, R*. (2017). Job demands and driving anger: The roles of emotional exhaustion and work engagement. Accident Analysis & Prevention98, 198-205.

  38. Zhou, R.*, & Chan, A. H. (2017). Using a fuzzy comprehensive evaluation method to determine product usability: A proposed theoretical framework. Work56(1), 9-19.

  39. Zhou, R.*, & Chan, A. H. (2017). Using a fuzzy comprehensive evaluation method to determine product usability: A test case. Work56(1), 21-29.

  40. Zhou, R.*, Yu, M., & Wang, X. (2016). Why do drivers use mobile phones while driving? The contribution of compensatory beliefs. PloS one11(8), e0160288.

  41. Zhou, R.*, Fong, P. S., & Tan, P. (2014). Internet use and its impact on engagement in leisure activities in China. PloS one9(2), e89598.

  42. Shan, S., Mao, Z., Zhou, R.*, Liu, Z., & Wu, F. (2013). Streaming media advertising: an empirical study. Systems Research and Behavioral Science30(3), 398-411.

  43. Li, B., Zhang, W., Zhou, R., Yang, C., & Li, Z. (2012). A comparative ergonomics study: Performing reading-based tasks on a large-scale tabletop vs. laptop. International Journal of Industrial Ergonomics42(1), 156-161.

  44. Zhou, R.*, Rau, P. L. P., Zhang, W., & Zhuang, D. (2012). Mobile phone use while driving: predicting drivers’ answering intentions and compensatory decisions. Safety Science50(1), 138-149.

  45. Zhou, R.*, & Horrey, W. J. (2010). Predicting adolescent pedestrians’ behavioral intentions to follow the masses in risky crossing situations. Transportation Research Part F: Traffic Psychology and Behaviour13(3), 153-163.

  46. Zhou, R.*, Horrey, W. J., & Yu, R. (2009). The effect of conformity tendency on pedestrians’ road-crossing intentions in China: An application of the theory of planned behavior. Accident Analysis & Prevention41(3), 491-497.

  47. Zhou, R.*, Wu, C., Rau, P. L. P., & Zhang, W. (2009). Young driving learners’ intention to use a handheld or hands-free mobile phone when driving. Transportation Research Part F: Traffic Psychology and Behaviour12(3), 208-217.

  48. 解煜彬,周荣刚*. (2025). 新型人机关系下的人机双向信任. 心理科学进展 33(6), 916-932.

  49. 夏棒,王惠文,周荣刚.(2019).成分数据路径分析模型数学的实践与认识 (14),191-199.

  50. 闫云豪,周荣刚*,于孟利.(2018).智能驾驶汽车界面的布局设计研究工业工程 (01),96-102.

  51. 喻永伟建,周荣刚*.(2017).虚拟现实运动病的生理评价方法研究工业工程 (06),90-95.

  52. 王昕怡,周荣刚*,把余韬,张伟.(2015).驾驶过程中手机使用的补偿式行为工业工程 (06),37-43.

  53. 周荣刚*.(2014).驾驶中移动电话的使用:基于自我调整行为的研究视角心理科学进展 (08),1328-1337.

  54. 王雅,吴瑞林,周荣刚.(2014).从个体心理到人际互动——航天任务中的心理学问题心理科学进展 (08),1338-1349.

  55. 吴峰,李纪琛,马琪,周荣刚*.(2012).网页的广告容忍度模糊综合评价工业工程 (05),79-85+91.

  56. 周荣刚,张侃.(2008).基于场景记忆的参照系整合过程中的物体方位判断心理学报 (12),1229-1239.

  57. 周荣刚,张侃.(2008).多参照系条件下信息获取方式对绝对方位判断的影心理学报 (11),1137-1148.

  58. 周荣刚,张侃.(2008).参照系整合条件下的空间方位判断航天医学与医学工程 (05),386-391.

  59. 周荣刚*.(2007).IT产品用户体验质量的模糊综合评价研究计算机工程与应用 (31),102-105.

  60. 葛燕,周荣刚,张侃.(2005).界面可用性评价之启发式评价法人类工效学 (04),64-66.

  61. 葛燕,秦宪刚,周荣刚,石庆馨,张侃.(2005).中小学生网络学习的认知态度调查人类工效学 (03),50-52.

  62. 周荣刚,张侃.(2005).可用性测试中的出声思维法人类工效学 (03),55-57.

  63. 石庆馨,周荣刚,葛燕,秦宪刚,张侃.(2005).中学生网络成瘾和感觉寻求的关系中国心理卫生杂志 (07),453-456.

  64. 周荣刚,张侃.(2005).基于参照系整合的想象空间方位转化判断人类工效学 (02),7-9+12

  65. 周荣刚,张侃.(2005).自我参照和环境参照整合过程中的主方位判断心理学报 (03),298-307.

  66. 杨家忠,周荣刚,张侃.(2004).空间主方位判断的训练和方位效应心理科学 (06),1322-1325.

  67. 葛燕,周荣刚,林钦,刘西,张侃.(2004).年轻学生对计算机操作界面的颜色偏好研究人类工效学 (03),23-25+6.

  68. 周荣刚,李怀龙,张侃.(2004).超文本可用性评价:迷失程度的测量人类工效学 (02),20-22+25.

  69. 周荣刚,张侃.(2004).空间知识记忆和提取的理论模型心理科学进展 (03),330-339.

  70. 周荣刚,张侃.(2004).基于线索的视觉空间关系判断心理学报 (02),127-132.

  71. 周荣刚,张侃.(2004).虚拟环境中临境感及其测量方法心理科学进展 (02),201-208.

  72. 周荣刚,张侃.(2004).性别和参照系整合方向对主方位判断的影响人类工效学 (01),10-13.

  73. 周荣刚,张侃.(2003).界面可用性评价之认知过程走查法人类工效学 (03),30-33.

  74. 周荣刚,张侃,李怀龙.(2003).背景信息导航帮助和认知风格对超文本使用的影响心理科学 (04),642-645.


Q  书稿出版

  1. 范英, 赵秋红, 王惠文, 吴俊杰, 郭仁拥, 周荣刚, 衣博文. (2026). 绿色导向的复杂系统管理决策.科技出版社: 北京.

  2. 周荣刚. (). (2016, 2020, 2024). User Experience Measuring/用户体验度量.电子工业出版社: 北京.

  3. 周荣刚. 10 互联网广告的容忍度. //李海容. (2011). 泛媒时代: 媒介创新与未来. 暨南大学出版社:广州, 125-140.

  4. 周荣刚. (). 3 设计和评估方法. //张侃. (等译). (2007). 人因工程学导论. 华东师范大学出版社: 上海, 27-55.

  5. 周荣刚, 赫晓涵, 朱玙. (). (2025). Chaptr 4 知觉和显示空间中的注意/Attention in Perception and Display Space. In 工程心理学与人的作业/Engineering Psychology and Human Performances (5th). 机械工业出版社.

  6. Xie, Y., Man, S. S., Zhou, R., & Chan, A. H. S. (2026). Advances in Human-AI Collaboration: Training with AI Support. In Vincent G. Duffy, Waldemar Karwowski, Gavriel Salvendy. (Ed.). (2026). Advances in Human-AI Collaboration, 107-122. Cham: Wiley New York.

  7. Bhutkar, G., Barricelli, B. R., Xiangang, Q., Clemmensen, T., Gonçalves, F., Abdelnour-Nocera, J., Lopes, A., Lyu, F., Zhou, R., Hou, W. (Eds.). (2022). Human Work Interaction Design. Artificial Intelligence and Designing for a Positive Work Experience in a Low Desire Society: 6th IFIP WG 13.6 Working Conference, HWID 2021, Beijing, China, May 15–16, 2021, Revised Selected Papers. Springer Nature


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