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

  1. Routine check
    • Users review their sleep/exercise routines and confirm completion status.
    • The app contextualizes the routine using actual Samsung Health records.
  2. 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.