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lucytheboss/README.md

Hi, I'm Jiwoo (Lucy) Roh 👋

I analyze user behavior to understand why people hesitate, drop off, or fail to act in digital systems, using behavioral data and HCI-informed reasoning.


Who Am I

Behavioral UX Research · Human-Computer Interaction (HCI)

  • 🏫 Undergraduate @ Chung-Ang University
  • 📚 Majoring in Psychology, English Literature, and Technology-Art

I focus on explaining why users behave the way they do, especially in moments of hesitation, confusion, or disengagement.
My work emphasizes behavioral interpretation over surface-level interface evaluation.


What I Work On

  • 🧠 Behavioral Science
    Cognitive psychology, user behavior analysis, behavioral hypothesis building

  • 📊 Behavioral Data Analysis
    Interaction logs, behavioral metrics, exploratory and comparative analysis, post-hoc validation

  • 🎨 UX & Interaction Research
    UX research methods, interaction flow analysis, prototyping for behavioral inquiry


🔍 Selected Projects

Project Focus Key Outcome
📺 When Content Succeeds: Behavioral Patterns in Netflix Originals Audience behavior Analyzed how structural factors shaped sustained audience engagement, focusing on behavioral signals rather than pure popularity prediction.
🎧 How Audio Signals Shape Listener Expectations Human–AI interaction Examined how audio features influenced perceived popularity and listener expectations through an interactive behavioral analysis dashboard.
🍎 Predicting Song Success: Behavioral Signals in Music Platforms Behavioral modeling Quantified behavioral patterns associated with song adoption using multivariate regression on audio and metadata features.
🎵 Familiarity vs Novelty: Behavioral Bias in Music Recommendation Recommendation bias Investigated how familiarity bias influenced user response to recommendations, demonstrating limits of accuracy-driven systems.
🎪 Why Users Stopped: Behavioral Analysis of a University Festival Website UX drop-off analysis Identified points of user hesitation and drop-off through interaction logs, analyzing how unclear next-action cues disrupted behavioral continuation.

🛠 Tools

Python SQL Pandas Matplotlib Figma Interaction Logs


What I’m Looking For

I’m interested in roles and research environments where understanding
why users fail to act matters more than optimizing model performance.

I’m particularly drawn to UX Research, Behavioral Data, HCI, and Human–AI Interaction problems that require explaining behavior—not just predicting it.

Pinned Loading

  1. creative-coding creative-coding Public

    Processing

  2. festival-behavioral-analytics festival-behavioral-analytics Public

    Chung-Ang University 2025 Spring festival website

    Jupyter Notebook

  3. Spotify-Popularity-Prediction-Project Spotify-Popularity-Prediction-Project Public

    Jupyter Notebook

  4. Hit-Song-Predictor Hit-Song-Predictor Public

    Apple Music Data Analysis

    Jupyter Notebook

  5. Sonic-Analytics-Hit-Predictor Sonic-Analytics-Hit-Predictor Public

    Search for songs and see their audio features analyzed!

    Jupyter Notebook