Nanjing University of Science and Technology | China
Author Profile
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🌟 Early Academic Pursuits
Dr. Xiaoli Wu embarked on her academic journey with a Bachelor's degree in Industrial Design from Shaanxi University of Science & Technology in 2003. Her strong aptitude for design and engineering led her to pursue a Master's in Mechanical Design and Theory, also at Shaanxi University. She further honed her expertise with a Ph.D. in Mechanical Engineering from Southeast University, focusing on Human-Computer Interaction. This robust academic foundation equipped her with the multidisciplinary knowledge required for her groundbreaking research in human-computer interaction and intelligent design systems.
🚀 Professional Endeavors: An International Journey
Dr. Wu's professional career spans continents and disciplines. She began as an Assistant Lecturer at Hohai University, steadily rising to the rank of Professor in 2019. Her international experience includes roles as a Research Scholar at the Australian National University, Academic Visiting Professor at UCL Interaction Centre, and the University of Birmingham's School of Computer Science. Currently, she is a Professor in the Department of Industrial Design at Nanjing University of Science & Technology, where she also serves as Dean of the Research Centre for Human Factors and Intelligent Interaction. Her extensive teaching portfolio includes subjects like Design Cognition and Ergonomics.
📚 Contributions and Research Focus
Dr. Wu’s research focuses on human factors in design, information visualization in human-machine systems, and intelligent interaction. She has significantly contributed to understanding visual cognition mechanisms, error factors in task interfaces, and design optimization in intelligent manufacturing. Her books, including Human Computer Interaction in Intelligent Manufacturing and Design and Cognition, are seminal texts in her field. As an editor and reviewer for top journals, she continues to shape the academic discourse in human-computer interaction and cognitive ergonomics.
🏆 Accolades and Recognition
Dr. Wu's contributions have been recognized with numerous awards, including the prestigious “333” High-level Scholars of Jiangsu Province and multiple grants from the National Natural Science Foundation of China. Her research projects, often supported by substantial funding, focus on cutting-edge topics like multi-modal information flow and intelligent manufacturing. Her achievements underscore her reputation as a leader in ergonomic design and human-computer interaction research.
🌍 Impact and Influence
Dr. Wu’s work bridges academic innovation and practical application, impacting industries ranging from manufacturing to digital media. As Executive Director of the Chinese Ergonomics Society and a key member of other professional organizations, she influences national and international standards in design and human-machine systems. Her teaching and mentorship have shaped the next generation of designers and engineers, ensuring her expertise ripples across fields and disciplines.
🌟 Legacy and Future Contributions
With a career marked by innovation and international collaboration, Dr. Wu’s legacy is one of advancing the frontiers of intelligent design and interaction systems. Her ongoing projects, such as the design of real-time monitoring systems in intelligent manufacturing, promise to redefine human-computer interaction. Her future contributions, bolstered by her upcoming publications, will undoubtedly continue to inspire and drive progress in her field. Dr. Wu’s work ensures a more ergonomic and user-centered technological future.
Publications
📔Research on similarity bias in dual objective visual search based on nuclear power human-machine interface icons
Author(s): He, Y., Wu, X., Yang, X., Zhou, J., Yu, D.
Journal: International Journal of Industrial Ergonomics
Year:2024
📔Cognitive evaluation based on regression and eye-tracking for layout on human–computer multi-interface
Author(s): Wang, L., Tang, W., Montagu, E., Wu, X., Xue, C.
Journal: Behaviour and Information Technology
Year:2024
📔Effective factors of icons searching performance based on visual attention capture for the nuclear power plants
Author(s): Wu, X., Zhou, C., He, Y., Li, Q., Yu, S.
Journal: Journal of the Society for Information Display
Year:2023
📔Study on the correlation and inhibition of visual marking and industrial icons
Author(s): Wu, X., Zhang, K., Fang, Z., Wang, X., Li, Q.
Journal: Displays
Year: 2023
📔How information within the perceptual span guides visual search and aids perception
Author(s): Chen, Y., Liao, C., Wu, X., Fang, Z., Zhang, L.
Journal: Displays
Year: 2023