Built a web prototype and designed a study to investigate personalized music and cognitive performance.
Role: developer and study designer during a Research Assistant internship.
Built the prototype with React, TypeScript, and LLM APIs.
Grounded the recommendation system in literature on background music, attention, memory, mind-wandering, mood, and arousal.
Designed a study with 3 music conditions: LLM generated personalized music, self selected music, and fixed baseline music.
Implemented 3 cognitive tasks: reaction time, paired associate memory, and Tower of London planning.
Built an LLM follow up chat to generate task-specific music tracks based on participant preferences and information.
Reviewed 35 academic papers.
Prepared the system for future participant data collection.