About Me
I am a fourth-year Ph.D. student majoring in Design Science at the College of Computer Science, Zhejiang University, China. My research primarily focuses on Human-Computer Interaction and Virtual Reality.
Education
University of Rochester, USA
Visiting Student, Bear Lab
Advisor: Prof. Yukang Yan
November 2024 – PresentZhejiang University, China
Ph.D. Student in Design Science (M.S./Ph.D. Integrated Program)
Advisor: Prof. Shijian Luo
September 2021 – Present
Publications
- “Designing Spatial Visualization and Interactions of Immersive Sankey Diagram in Virtual Reality”.
Yang Lu, Junxian Li, Zhitong Cui, Jiapeng Hu, Yanna Lin, Shijian Luo.
Proceedings of the 32nd ACM International Conference on Multimedia, pp. 98–107, 2024.- we explored a novel design for the immersive Sankey diagram system within VR environments, utilizing a three-dimensional visual design and several interaction techniques that leveraged VR’s spatial and immersive capabilities. Through two comparative user studies, we found the effectiveness of the VR Sankey diagram system in improving task performance and engagement and reducing cognitive workload in complex data analysis. We contribute an interactive, immersive Sankey diagram system in VR environments, empirical evidence of its advantages, and design lessons for future immersive visualization tools.
- we explored a novel design for the immersive Sankey diagram system within VR environments, utilizing a three-dimensional visual design and several interaction techniques that leveraged VR’s spatial and immersive capabilities. Through two comparative user studies, we found the effectiveness of the VR Sankey diagram system in improving task performance and engagement and reducing cognitive workload in complex data analysis. We contribute an interactive, immersive Sankey diagram system in VR environments, empirical evidence of its advantages, and design lessons for future immersive visualization tools.
- “Exploring Product Style Perception: A Comparative Eye-Tracking Analysis of Users across Varying Levels of Self-Monitoring”.
Yao Wang, Yang Lu, Cheng-Yi Shen, Shi-Jian Luo, Long-Yu Zhang.
Displays, vol. 84, p. 102790, 2024.- Digital shopping applications and platforms offer consumers a numerous array of products with diverse styles and style attributes. Existing literature suggests that style preferences are determined by consumers’ genders, ages, education levels, and nationalities. In this study, we argue the feasibility and necessity of self-monitoring as an additional consumer variable impacting product style perception and preference through the utilization of eye-tracking technology.
For more publications, please see my Google Scholar profile.
- Digital shopping applications and platforms offer consumers a numerous array of products with diverse styles and style attributes. Existing literature suggests that style preferences are determined by consumers’ genders, ages, education levels, and nationalities. In this study, we argue the feasibility and necessity of self-monitoring as an additional consumer variable impacting product style perception and preference through the utilization of eye-tracking technology.
Academic Project Experience
- Research on the Evaluation Indicator System of Products’ Cultural Style and Design Aesthetics in Virtual Twin Scenes National Key R&D Program of China
PI: Prof. Shijian Luo (Department of Industrial Design, Zhejiang University)- Role: As the student team leader, I was responsible for formulating and advancing research plans, integrating findings, and summarizing project reports.
- Core Contribution: Established a novel framework for assessing product aesthetics, providing insights into how cultural style and design aesthetics impact emotional user engagement.
- Publication: Intelligent Evaluation Method of Product Aesthetics Oriented to User’s Emotional Experience (Accepted, First Author)