ReBloomLens
Overview
ReBloomLens is a production-level research tracking experience for breast cancer survivors, built as part of my modular data tracking application. It focuses on connecting Samsung Health activity and sleep data with user-facing routine tracking and mobile-first visualization for daily reflection.
Scope
- Production-level implementation within a modular tracking app (the overall platform is still evolving).
- Primary data sources: Samsung Health activity + sleep.
- Primary user features: routine check-ins and backtracking based on real health data.
Problem
- Daily experiences around recovery and lifestyle change are difficult to reflect on without continuous behavioral context.
- Health data alone is not enough; users also need a routine-oriented layer to interpret “did I do what I planned?”.
- Mobile health charts often become unreadable or misleading without mobile-first visualization design.
Goals
- Support routine-oriented tracking that connects directly to real health data.
- Provide clear mobile visualizations for personal reflection (not researcher dashboards).
- Make the system reusable inside a modular architecture so similar studies can be configured and extended.
System Design
Health data integration
Samsung Health SDK as the primary data source (sleep + exercise).
Routine layer
User routines are evaluation and displayed by linking planned routines with actual health records (backtracking).
Visualization
User-facing health graphs are rendered using SalusChart to ensure mobile readability.
Key User Flows
- Routine check
- Users review their sleep/exercise routines and confirm completion status.
- The app contextualizes the routine using actual Samsung Health records.
- Data reflection
- Users explore their sleep and exercise data through mobile-first charts (SalusChart).
- The focus is on quick understanding and daily reflection rather than expert analysis.
What I Built / Contributed
- Implemented the Samsung Health integration focused on sleep and exercise.
- Designed and implemented the routine + backtracking concept that links user routines to real health data.
- Integrated SalusChart to support consistent, mobile-optimized visualization for user reflection.
- Designed the end-to-end user-facing UI (Toss Design System-inspired) for routine check-ins and health data reflection.
Collaboration
- Collaborated with another HCI lab at Yonsei University on the research context and direction.
Tech and Keywords
Android, Kotlin, Jetpack Compose, Samsung Health SDK, Mobile Health Tracking, Routine/Backtracking, Mobile Data Visualization (SalusChart), Modular Architecture
Outcome
A production-level user-facing tracking experience that connects real sleep/exercise data with routine-based reflection, supported by mobile-first visualization. This work demonstrates how routine tracking can be grounded in objective health records rather than self-report alone.