張婷茹

張婷茹，女，博士，深圳大學副教授。

基本介紹

• 中文名：張婷茹
• 國籍：中國
• 民族：漢族
• 出生地：山東
• 出生日期：1987年
• 畢業院校：博士：香港城市大學；碩士：清華大學；本科：山東大學
• 學位/學歷：博士
• 職業：教師
• 專業方向：智慧型交通、自動駕駛、駕駛員行為/狀態識別、人-AI互動、智慧型互動與體驗
• 職務：碩導
• 學術代表作： Automated vehicle acceptance in China: Social influence and initial trust are key determinants. Transportation Research Part C: Emerging Technologies
  The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transportation Research Part C: Emerging Technologies
• 主要成就：深圳市海外高層次“孔雀計畫”,南山區領航人才
• 任職院校：深圳大學

主講本科課程

專業英語

c語言程式

電工與電子技術

主講研究生課程

實驗設計與數據分析

科技論文寫作

研究方向

智慧型交通、自動駕駛、駕駛員行為/狀態識別、人-AI互動、智慧型互動與體驗

個人經歷

教育背景：

2012–2015，香港城市大學，系統工程與工程管理系，博士學位；

2010–2012，清華大學，工業工程系，碩士學位；

2006–2010，山東大學，控制科學與工程系，學士學位。

工作履歷：

2017至今，深圳大學，機電學院，副教授；

2015–2017，美國麻薩諸塞州立大學，機械與工業工程系，博士後。

主持項目

1.國家自然科學基金青年項目，自動駕駛控制權轉移中駕駛員行為特性與預警機制研究（71801156），2019.01-2021.12，主持

2. 廣東省自然科學基金面上項目，基於多模態融合的有限自動駕駛接管預警及其影響機制研究，2021.01-2023.12，主持

3. 深圳大學新引進高端人才財政補助科研啟動經費，有限自動駕駛中駕駛員行為規律與預警系統研究，2019.01-2021.12，主持

4. 核電安全監控技術與裝備國家重點實驗室開放課題，短暫注意力轉移對調試作業人因失誤的影響機制研究及對策（007-EC-B-2019），2019.08-2020.12，主持

5. 深圳大學校啟動項目，自動駕駛技術接受行為驅動機制及其演化規律研究，2020.01-2021.12，主持

6. 教育部產學合作協同育人項目，基於機器學習的行為分析課程建設研究（201901024009），2019.10-2020.10，教育部高等教育司,主持

7. 深圳大學青年教師“教學新秀”精進計畫：電工與電子技術課程建設,2020.01-2021.12，主持

獲得榮譽

1.深圳市海外高層次人才孔雀計畫獎勵

2. 深圳市南山區“領航人才”稱號

3. 2014-2019年人類工效學學會優秀科研論文獎

4. Accident Analysis and Prevention傑出審稿人

主要學術兼職

1.SCI期刊International Journal of Industrial Ergonomics編委

2.汽車工程協會編委會委員

3.核電安全監控技術與裝備國家重點實驗室客座研究員

4.中國人類工效學學會智慧型互動與體驗分會委員

期刊審稿人

1.Transportation Research Part C: Emerging Technologies

2.Accident Analysis & Prevention

3.Safety Science

4.Computers in Human Behavior

5.中國公路學報等

學術成果

代表期刊論文 ：

1.Zhang, T., Chan, A. H., Ba, Y., & Zhang, W. (2016). Situational driving anger, driving performance and allocation of visual attention. Transportation Research Part F: Traffic Psychology and Behaviour, 42, 376-388. (SCI/SSCI 2013: 1.635)

2.Zhang, T., & Chan, A. H. (2016). The association between driving anger and driving outcomes: a meta-analysis of evidence from the past twenty years. Accident Analysis & Prevention, 90, 50-62. (SCI/SSCI 2013: 2.571)

3.Zhang, T., Chan, A. H., & Zhang, W. (2015). Dimensions of driving anger and their relationships with aberrant driving. Accident Analysis & Prevention, 81, 124-133. (SCI/SSCI 2013: 2.571)

4.Zhang, T., & Chan, A. H. (2014). Sleepiness and the Risk of Road Accidents for Professional Drivers: A Systematic Review and Meta-analysis of Retrospective Studies. Safety Science, 70, 180-188. (SCI/SSCI 2013: 1.672)

5.Zhang, T., & Chan, A. H. (2014). How Appraisals Shape Driver Emotions: A study from Discrete and Dimensional Emotion Perspectives. Transportation Research Part F: Traffic Psychology and Behaviour, 27, 112-123. (SCI/SSCI 2013: 1.635)

6.Zhang, T., Fan N., & Zhang W. (2013). Development of Driver-Agent Traffic Flow Mixed Simulation System. Industrial Engineering and Management (Chinese core journal), 18, 122-126.

7.Ba, Y., Zhang, W., Chan, A. H., Zhang, T., & Cheng, A. S. (2016). How drivers fail to avoid crashes: A risk-homeostasis/perception-response (RH/PR) framework evidenced by visual perception, electrodermal activity and behavioral responses. Transportation Research Part F: Traffic Psychology and Behaviour, 43, 24-35. (SCI/SSCI 2013: 2.571)

8.Zhang, T., D. Tao, X. Qu*, X. Zhang, R. Lin, and W. Zhang, The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transportation Research Part C: Emerging Technologies, 2019. 98: p. 207-220.【ESI熱點論文】

9.Zhang, T., D. Tao, X. Qu*, X. Zhang, J. Zeng, H. Zhu, and H. Zhu, Automated vehicle acceptance in China: Social influence and initial trust are key determinants. Transportation Research Part C: Emerging Technologies, 2020. 112: p. 220-233.【ESI高被引論文】

10.Man, S.S., A.H.S. Chan, S. Alabdulkarim, and T. Zhang*, The effect of personal and organizational factors on the risk-taking behavior of Hong Kong construction workers. Safety science, 2021. 136: p. 105155.

11.Zhang, T., D. Shen, S. Zheng, Z. Liu, X. Qu, and D. Tao*, Predicting unsafe behaviors at nuclear power plants: An integration of Theory of Planned Behavior and Technology Acceptance Model. International Journal of Industrial Ergonomics, 2020. 80: p. 103047.

12.Li, S., T. Zhang*, W. Zhang, N. Liu, and G. Lyu, Effects of speech-based intervention with positive comments on reduction of driver's anger state and perceived workload, and improvement of driving performance. Applied Ergonomics, 2020. 86: p. 103098.

13.Zhang, T., Z. Liu, S. Zheng, X. Qu, and D. Tao, Predicting errors, violations, and safety participation behavior at nuclear power plants. International Journal of Environmental Research and Public Health, 2020. 17(15): p. 5613.

14.Tao, D., H. Tan, H. Wang, X. Zhang, X. Qu, and T. Zhang*, A Systematic Review of Physiological Measures of Mental Workload. International Journal of Environmental Research and Public Health, 2019. 16(15).

15.Hajiseyedjavadi, F., T. Zhang*, R. Agrawal, M. Knodler, D. Fisher, and S. Samuel, Effectiveness of visual warnings on young drivers hazard anticipation and hazard mitigation abilities. Accident Analysis & Prevention, 2018. 116: p. 41-52.

16.Zhang, T., F. Hajiseyedjavadi, Y. Wang, S. Samuel, X. Qu*, and D. Fisher, Training interventions are only effective on careful drivers, not careless drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 2018. 58: p. 693-707.

17.Zhang, T. and A.H. Chan, The association between driving anger and driving outcomes: A meta-analysis of evidence from the past twenty years. Accident Analysis & Prevention, 2016. 90: p. 50-62.

代表會議論文

1. 2019中國人類工效學年會的“AI與用戶體驗”特邀報告

2. 2019 HFES Annual Meeting特邀報告

3. 2018中國汽車工程學會年會特邀報告