Work Experience & Education
Product & UXR Internships
Former UX Researcher Intern at KuaiShou Technology
Gained hands-on experience conducting user research across diverse product ecosystems, from short-form video platforms to cutting-edge AI applications.
M.S. in Human-Computer Interaction
Carnegie Mellon University
Advanced training in designing and evaluating interactive systems, combining technical proficiency with user-centered design principles.
M.S. in Applied Psychology
Deep foundation in psychological research methods, cognitive processes, and human behavior—essential for understanding user needs and motivations.
Projects Portfolio
Explore some of my impactful research projects that demonstrate a blend of psychological insights and technological innovation, driving meaningful user experiences.
AI onboarding by AI features
A research-driven project of AI tutor (DOT) that increased engagement by scaffolding learning through in-context AI Activation Point instead of passive chat usage.
Product Lead · 8 months
Key Areas: # Human-AI Interaction # Ed-Tech
Trust AI by Design
Rapid 3-month concept-to-launch iteration by translating physician insights directly into features of a physician dashboard
Product Manager Intern · 3 months
Key Areas: # Healthcare
Two User Side UX Research
Dual-sided UX research on a creator marketplace to map real workflows, identify collaboration breakdowns between buyers and sellers
UX Researcher at Kuaishou · 4 months
Key Areas: # E-commerce
The Challenge
AI Assistant Adoption rate
remained extremely low.
Only 11% of 4,249 students used DOT*, with most interactions limited to 1–5 times across entire semester-long Chemistry course. Students frequently opted for other resources such as YouTube, or peer assistance.
The goal of the research is to find out:
- Why learners weren’t discovering or using DOT?
- How can we optimize on DOT feature to increase the adoption and support learning?
DOT: Digital Online Tutor, AI assistant that is omnipresent in the REAL CHEM, trained on the REAL CHEM courseware, including the actual chemistry content and the specifics of each section (e.g., due dates)
Method
Two Rounds of Mixed-Methods Inquiry
Our goal was to understand why students ignored the AI tutor (DOT) and to design interventions for learning-centered AI engagement.
Research Round 1: Diagnose Behavioral Barriers
Methods:
- Log Data Analysis (n = 4,249): Identified extremely low usage(11%); 36% copy-paste queries.
- 9 Student Interviews: 5/9 unaware of DOT, revealing failure at the first step of engagement: awareness.
- 4 Instructor + 3 Learning Engineer Focus Groups: Defined the ideal role of DOT as a “thoughtful TA” that scaffolds thinking rather than giving answers
Students are not inherently against AI. Instead, they seek structured, step-by-step assistance and timely visibility of help, moving beyond simple chat interactions.
We presented findings and design opportunities to the OLI team. Based on this research, the product direction shifted toward proactive guidance — leading to activation point features for DOT.
Solution
AI Activation Points
With AI Activation Points, DOT no longer relies on students to seek help but proactively engages them in their learning journey.
To increase awareness, deepen learning, and reduce copy-paste misuse, we introduced three proactive AI Activation types that guide students at key learning moments.
Page Activations
DOT pops up automatically when students open a page, posing metacognitive questions about learning strategies and introducing social psychology interventions (e.g., growth mindset）
Paragraph Activations
Prompts create dialog about what students have just read, asking clarifying questions, addressing potential misconceptions, or reinforcing understanding of key concepts.
Activity Activations
Provides immediate feedback on the correctness of written responses to constructed response questions, such as those found in REAL CHEM simulations.
Other solution: Base Prompt Updated: Reluctant to directly answer homework questions/ Must be concise + structured + correct LaTeX
Try this out!
Scan the QR code to log in.
Go to Unit 1 "How to Use AI in REALCHEM" experience DOT's AI-powered onboarding in REAL CHEM for yourself!
Project 2
Your Health,
Your Plan
Transforming fragmented health data into a continuous, personalized story of well-being
Led end-to-end research to design an AI-supported physician dashboard that transforms scattered health data into actionable, longitudinal insights supporting preventive care decisions
Organization: CMU Corporate Startup Lab
Client: Forefront Concierge Medicine
Role: Product Manager Intern
Key Areas: # AI # Healthcare
Try out yourself!
“From a cardiovascular standpoint, these AI recommendations are appropriate. Doctors often miss things like ACE inhibitors or the DASH diet — having AI surface those and letting me click once to add them to the action plan would be a real one-stop shop.”
- Dr. Amir
“I love having vitals, labs, and wearable data all in one place. I'd pull this up with patients and walk through it visually during visits — incredibly helpful for clinical decision-making.”
- Dr. Sheena
Project 3
Improving Marketplace Match Efficiency Through Dual-Side UX Research
- Platform: Kuaishou Technology (DAU: 400 Million) Magnetic Creative (commercial creative marketplace) that connects
- Advertisers & agencies who need creative production
- Creative studios & freelancers who provide those services
- Stage: In 2022, the platform was shifting away from a subsidy-driven growth model toward relying on product experience to drive real transactions.
- Core challenge: Low transaction efficiency, supply–demand mismatch, and emerging risks to retention and satisfaction
Thank You!
I'd love to chat!
leehsinfen52@gmail.com
📱 Phone
+1 (412) 973-8285
Hey!