👋 Hello, this is Jessie!
I am a Computer Science Ph.D. candidate at UC Davis in the Collaborative and Social Computing Lab, advised by Prof. Hao-Chuan Wang. My research bridges Human-Computer Interaction, Computer-Supported Cooperative Work, and Social Computing, with a particular focus on fairness in group collaboration. Currently, I study how workload division impacts group dynamics by designing experimental systems that simulate real-world collaboration. These systems generate rich behavioral datasets, which I analyze using statistical modeling, data visualization, and computational methods to uncover patterns in decision-making, fairness perceptions, and motivation. My work highlights how data-driven insights from user behavior can inform the design of interfaces and algorithms that support fair and effective collaboration.
Before I join UC Davis, I received my bachelor degree in Quantitative Finance from National Tsing Hua University, and my masters degree in Applied Analytics from Columbia University.
[Recent Ongoing Projects: Signal/EEG Data Analysis]
• i-care, an interface for caregiver Improve caregiver-elder connections that uses vibration data instead of camera images to monitor elder’s activities.
• EEG and Human Perceived Fairness in the Workload Division Process Evaluate the impact of UI designs on user cognitive load and engagement in the workload division process with electroencephalogram (EEG).
• EEG and human cognitive process of writing fake reviews Measuring EEG signals to understand the cognitive patterns and emotional responses associated with the act of deception, uncovering how neurological factors influence the creation of misleading content.
Please click on the projects tab to see more
[Recent Awards]