Hello! Here are some projects I worked aside from my research at USC. Using mixed quantitative tools, I hope to help people better understand themselves and make more adaptive decisions.
Mood Map is an interactive web tool that lets users log and visualize their emotions in real time on a 2D grid based on the circumplex model of affect (valence × arousal). Inspired by a physical version used in classroom and group settings, it encourages emotional awareness and reflection by allowing users to place and label their feelings on a shared map.
#Social network analysis #Natural language processing #Sentiment analysis #Python
Since 2019, I have been keeping a dream journal. In this project, I analyzed the first 100 entries in my dream corpus. Using social network analysis and natural language processing, I hope to unveil my unconscious in a quantitative way.
#UX research #Product design #R
Delays are very common among college students and are often caused by inaccurate time perceptions. In this project, I conducted user research and data analyses to inform the design of PaceTodo—a 7-day task management app that copes with procrastination by providing real-time emotional support and task-planning suggestions.