Emotion-Centered Design
MoodShift
In a digital age where most applications fail to recognize user emotions, this visual captures the essence of MoodShift , an adaptive experience that listens before it reacts. It symbolizes the shift from static interaction to emotional intelligence in real-time interfaces.
A gamified emotional intelligence training app powered by AI that adapts to your emotional state in real-time. Unlike traditional games that only react to your actions, MoodShift creates a personalized experience by responding to how you feel.
In a world where 95% of mobile users abandon apps that fail to adapt to their state of mind, MoodShift offers a solution that doesn't just entertain,it understands.
What is MoodShift?
MoodShift is an adaptive iOS game that uses SwiftUI, CoreML, Vision, and HealthKit to detect your emotions via the device's camera and adjust gameplay in real time.
Key Features :
• Emotion-Based Adaptation: Uses live camera input to detect mood shifts and modify challenges accordingly.
• Skill Training: Enhances soft skills (empathy, patience) and hard skills (focus, memory) through personalized tasks.
• Dynamic Experience: Gameplay evolves with your emotional state, offering a responsive, human-centric interaction
Target Users & Market Opportunity
Who is this app for?
• Students facing emotional burnout who need tools to manage stress while continuing to learn
• Gen-Z professionals overwhelmed by traditional productivity apps seeking more intuitive solutions
• ADHD & neurodiverse users who need emotional calibration tools that adapt to their unique needs
Core Features
Emotion Detection
• Recognizes 7 primary emotional states
• Works in various lighting conditions
• Privacy-focused processing on device
Mood-Based Gameplay
• Calming activities when stressed
• Challenging puzzles when focused
• Social exercises when positive
Skill Mapping
• Empathy and emotional awareness
• Focus and attention training
• Memory and cognitive skills
Growth Tracker
• Visual progress charts
• Skill development metrics
• Emotional pattern recognition
