Fun projects

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

#Emotion   #Typescript   #UI/UX

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.

Screenshot of Mood Map

Social network analysis of dreams

#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.

User research for the PaceTodo App

#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.