Post-doctoral Researcher

Brief Introduction

Dr Jue Li focused on Ergonomics design and research for industrial products during her undergraduate and master's studies, obtaining a Bachelor of Engineering degree in Industrial Design and a Master of Engineering degree in Design, respectively. She continued research on Ergonomics during her PhD studies at the College of Design and Innovation, Tongji University. Jue Li's PhD research was born out of the trust issues between humans and automated vehicles in the context of the development of automated driving technology She tries to achieve appropriate user trust in the automated driving system through design means, which in further lead to better human-computer relationship. During her postdoctoral period, her research will focus on the trust relationship between intelligent systems and human, aiming to explore the trust mechanism of human-computer relationship through interdisciplinary research methods, and to enhance human trust in the systems and interaction experience.

Research

Ergonomics

Human-vehicle interaction design

Automation trust

Education Background

2018.09-2024.03  Doctor of Design (PhD), Tongji University

2021.10-2022.10  Joint PhD student, Department of Media Information, LMU Munich

2015.09-2018.06  Master of Design (MEng), Southeast University

2011.09-2015.06  Bachelor of Industrial Design, Hefei University of Technology

Work Experience

2024.09-Present  Post-doctoral Researcher, College of Design and Innovation, Tongji University

Publications

[1] Li, J. , Ye Y. , Liu, L., & Liu, L., Andreas B. . Effect of Reliability, Its Framing and Error Bias on Trust in Human-vehicle Collaboration [J]. Human Factors and Ergonomics in Manufacturing & Service Industries (Accepted)

[2] Li, J. , Liu, J. , Wang, X. , & Liu, L. . Investigating the factors influencing user trust and driving performance in level 3 automated driving from the perspective of perceived benefits [J]. Transportation Research Part F: Psychology and Behaviour.  https://doi.org/10.1016/j.trf.2024.06.013

[3] Li, J. , Liu, J. , Wang, X. , & Liu, L. .The Impact of Transparency on Driver Trust and Reliance in Highly Automated Driving: Presenting Appropriate Transparency in Automotive HMI [J]. Applied Sciences. https://doi.org/10.3390/app14083203

[4] Li, J. , Hu Z , & Liu, L. .A survey on public acceptance of automated vehicles across COVID-19 pandemic periods in China[J]. IATSS Research. https://doi.org/10.1016/j.iatssr.2023.10.002

[5] ] Li, J. , He Y. , Yin S. , & Liu, L. . Effects of Automation Transparency on Trust: Evaluating HMI in the Context of Fully Autonomous Driving[C]. In Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '23). Association for Computing Machinery, New York, NY, USA, 311–321. https://doi.org/10.1145/3580585.3607171

[6]李珏, 何骏淞, & 刘胧. (2022). 基于用户共创的城市通勤服务设计研究[J]. 人类工效学, 28(3), 7.

[7] Li, J. ,  Liu, L. , &  Gu, L. .Understanding take-over in automated driving: a human error analysis[C]. HCI in Mobility, Transport, and Automotive Systems. HCII 2021. https://doi.org/10.1007/978-3-030-78358-7_20

[8] Li, J. ,  Meng, C. , &  Liu, L. . Verifying Automation Trust in Automated Driving System from Potential Users' Perspective[C]. Advances in Human Factors in Robots, Drones and Unmanned Systems. AHFE 2020. https://doi.org/10.1007/978-3-030-51758-8_5

Contact

Email: lijue@tongji.edu.cn