Hao Tan is a vice-dean and full professor in School of Design, Hunan University. He received his Ph.D. in design engineering from Hunan University and returned to Hunan University in 2009 following a three-year design research experience in Alibaba and Google.
At Alibaba, He established a professional user experience research team and its infrastructures in 2007. He leaded the team to conducted 100+ user studies to support all online products lines, which support Alibaba IPO in Hong Kong.
At Google, He developed Google Rolling Study System for rapid user experience evaluation, which greatly improved the R&D efficiency in Google. He also conducted design research for 20+ local and global products, among which Google Music has achieved great success with achieving 87.3 million new users after launching in one week.
His research interests are in the general area of human-centred design, particularly the study of new science and technologies’ influence on human, society, and cultures, to address specific design issues, for example, transportation design, healthcare design, emergency and safety design, information design, and so on. Hao established the theory of “Machine behaviour design” and conducted human-AI integration research based on human behaviour science and machine intelligence science. As well as publishing over 100 papers, he has written and edited a number of books on ergonomics, HCI and intelligent design.
Amongst other recognitions, he was named to the China National Young Scholar list (2021), the Lotus Youth Scientist list (2020), and Yuelu Scholar New Star list (2022). He also received China National Education Award (2018), China Mechanical Science and Technology Prize (2008, 2015), Huawei Outstanding Research Award (2015), and other 10+ awards.
H Tan, JY Liu, C Chen, X Zhao, JL Yang, C Tang. Knowledge as a key determinant of public support for autonomous vehicles. Scientific Reports, 2024, 14 (1), 2156. https://doi.org/10.1038/s41598-024-52103-6
H Tan, YY Hao. How does people's trust in automated vehicles change after automation errors occur? An empirical study on dynamic trust in automated driving. Human Factors and Ergonomics in Manufacturing & Service Industries. 2023, 33 (6), 449-463. https://doi.org/10.1002/hfm.21001
H Tan, Jiayan Liu, Fanrui Zeng. China needs a scientific long COVID recovery support platform. Lancet, 2023, 401(10374), 344-345. https://doi.org/10.1016/S0140-6736(23)00138-1
H Tan. Machine Behaviour: Human-Centered Intelligence Design. Publishing House of Electronics Industry (Beijing), 2023.
H Tan, YY Hao. Mapping the Global Evolution and Research Directions of Information Seeking, Sharing and Communication in Disasters: A Bibliometric Study. International Journal of Environmental Research and Public Health, 2022, 19, 14878. https://doi.org/10.3390/ ijerph192214878
H Tan, X Zhao, J Yang. Exploring the influence of anxiety, pleasure and subjective knowledge on public acceptance of fully autonomous vehicles. Computers in Human Behavior, 2022, 131, e107187. https://doi.org/10.1016/j.chb.2022.107187
H Tan, S Peng, JX Liu, CP Zhu, F Zhou. Generating Personas for Products on Social Media: A Mixed Method to Analyze Online Users, International Journal of Human–Computer Interaction, 2021, 38(6), 1-12. https://doi.org/10.1080/10447318.2021.1990520
JW Yang, XY Yu, M Wang, ZH Chen, H Tan*. Novel Tactile Feedback Research for Situation Awareness in Autonomous Vehicles. IASDR 2021, [] With Design: Reinventing Design Modes. 2022, 2874–2887. https://doi.org/10.1007/978-981-19-4472-7_186
H Tan, J Li, M He, J Li, D Zhi, F Qin, C Zhang. Global evolution of research on green energy and environmental technologies: A bibliometric study. Journal of Environmental Management， 2021, 297, e113382. https://doi.org/10.1016/j.jenvman.2021.113382
H Tan, SL Peng, CP Zhu, Z You, MC Miao, SG Kuai. Long-term Effects of the COVID-19 Pandemic on Public Sentiments in Mainland China: Sentiment Analysis of Social Media Posts. Journal of Medical Internet Research, 2021, 23 (8), e29150. https://doi.org/10.2196/29150
H Tan, J Sun, W Wenjia, C Zhu. User experience & usability of driving: A bibliometric analysis of 2000-2019, International Journal of Human–Computer Interaction, 2021, 37(4), 297-307. https://doi.org/10.1080/10447318.2020.1860516
H Tan, C Chen, Y Hao. How people perceive and expect safety in autonomous vehicles: An empirical study for risk sensitivity and risk-related feelings. International Journal of Human–Computer Interaction, 2021, 37(4), 340-351. https://doi.org/10.1080/10447318.2020.1860515
H Tan, Y Zhao, S Li, W Wang, M Zhu, J Hong, X Yuan. Relationship between social robot proactive behavior and the human perception of anthropomorphic attributes, Advanced Robotics, 2020, 34(20) 1324-1336. https://doi.org/10.1080/01691864.2020.1831699
H Tan, Y Hao, A Sun, X Guo, D Guo. A Bibliometric Analysis and Social Network Analysis on Ergonomics Studies of Emergency Equipment, International Conference on Human-Computer Interaction (HCII 2020), 2020, 12429, 568-583. https://doi.org/10.1007/978-3-030-59987-4_40
H Tan, Y Zhou, R Shen, X Chen, X Wang, M Zhou, D Guan, Q Zhang. A classification framework based on driver's operations of in-car interaction, International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI 2019), 2019, 104-108. https://doi.org/10.1145/3349263.3351340
H Tan, ZY Tan, CH Jing. Automobile Human Machine Interface Design. Publishing House of Electronics Industry (Beijing), 2015.
H Tan, JH Sun, JH Zhao, XY Wei, J Zhang. Differences between the User Experience in Automatic and Driverless Cars, IASDR, 2015, 1973–1984.
H Tan, W Li, JH Zhao, SS Guo, WX Sun, WL Yang. Understanding the Image Schema of Gesture interaction in An Aesthetic way- A Case Study on Music Player, IASDR, 2015, 1959-1972
Y Wu, H Tan, J Zhao. An aesthetic perspective to explore aesthetic components of interactive system: a case study on music player, The ACM Conference on Human Factors in Computing Systems (CHI 2014), 2014, 2587-2592. https://doi.org/10.1145/2559206.2581216
H Tan, CH Jing, DH Zhao, FZ Zou, JH Zhao. Using Interactive Genetic Algorithm to Generate New Vehicle Styling Brand Elements with Feature Lines: A Case Study of Micro-car Design in China, IASDR, 2013, 4131-4142.
H Tan, Y Zhu, J Zhao. Development of an automotive user interface design knowledge system. The 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2012, 201-208. https://doi.org/10.1145/2390256.2390291
JH Zhao, H Tan. Ergonomics. High Education Press (Beijing), 2005.
