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Interactive Systems
Interactive concepts designed to support real-world decisions.
Each project translates a practical problem into a focused interaction.
All prototypes are presented as Figma-based design systems.
CLINICAL DECISION INTERACTION
Rapid Safety Recognition in Massage Therapy Practice
Interactive Prototype for Real-Time Risk Classification
The Problem
Massage therapy learners and practitioners must rapidly evaluate anatomical risk zones under time pressure, often relying on memory or fragmented guidelines.
The Design Strategy
A Figma-based interactive prototype modeling a tiered risk-rating system using color-coded decision states, progressive disclosure, and touch-based hotspot navigation.
The Outcome
Demonstrates how interactive logic, visual hierarchy, and constrained choice architecture can reduce hesitation, improve safety consistency, and support recognition over recall in live clinical settings.
LIFESTYLE DECISION INTERACTION
Everyday Plant‑Based Decisions
Interactive Model for Guided Nutrition Decisions
The Problem
Adults struggle to sustain plant-based eating decisions in everyday contexts due to decision fatigue and competing cues.
The Design Strategy
A Figma-based interaction model using progressive prompts, decision checkpoints, and visual grouping to support moment-of-need choice navigation.
The Outcome
Demonstrates how lightweight guided interactions can reduce cognitive overload and support behavior change through structured micro-decisions.
SPORTS MEDICINE DECISION INTERACTION
Return-to-Play Readiness
System
Interactive Model
for Return-to-Play
Readiness Decisions
The Problem
Athletes and clinicians must determine safe return-to-play progression under time pressure, often navigating inconsistent symptom reporting and fragmented recovery guidelines.
The Design Strategy
A Figma-based interaction system using staged progression logic, visual risk signaling, and sequential decision checkpoints to structure readiness evaluation.
The Outcome
Demonstrates how structured interaction logic can improve consistency, reduce cognitive overload, and support safer progression decisions during rehabilitation workflows.
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