User Experience Flows¶

Overview¶

AICO's user flows are designed around natural interaction patterns that prioritize emotional connection and seamless functionality. Each flow supports both novice and expert users through progressive disclosure while maintaining consistent interaction paradigms across all platforms.

Core Flow Principles¶

🌊 Natural Conversation Flow¶

User interactions mirror natural human conversation patterns, with AICO proactively engaging and responding contextually to user needs and emotional states.

🔄 Continuous Engagement Loop¶

Flows are designed as ongoing conversations rather than discrete transactions, with AICO maintaining context and building relationships over time.

🎭 Emotion-Aware Interactions¶

All flows consider user emotional state and adapt responses, timing, and interaction patterns accordingly.

🚀 Zero-Barrier Entry¶

Users can begin meaningful interactions immediately without setup, configuration, or learning complex interfaces.

Primary User Flows¶

1. First Launch & Onboarding¶

Initial Experience Flow¶

App Launch
├── Welcome Animation (Avatar Introduction)
├── Natural Voice/Text Introduction
│   └── "Hi! I'm AICO. I'm here to be your companion and friend."
├── Permission Requests (Contextual)
│   ├── Microphone Access (for voice interaction)
│   ├── Camera Access (for emotion recognition)
│   └── Notification Access (for proactive engagement)
├── Personality Introduction
│   ├── AICO shares basic personality traits
│   ├── User can express preferences naturally
│   └── Initial relationship establishment
└── First Conversation
    ├── Open-ended greeting
    ├── Natural conversation flow
    └── Gentle feature discovery

Onboarding Characteristics¶

No forms or questionnaires - learning happens through conversation
Immediate value - users experience AICO's personality within seconds
Progressive permission - requests only when features are needed
Natural discovery - features revealed through conversation context

2. Daily Interaction Flows¶

Proactive Engagement Flow¶

AICO Initiative
├── Context Assessment
│   ├── Time of day analysis
│   ├── User activity patterns
│   ├── Recent conversation history
│   └── Emotional state indicators
├── Engagement Decision
│   ├── Appropriate timing check
│   ├── User availability assessment
│   └── Conversation relevance evaluation
├── Proactive Outreach
│   ├── Gentle notification or ambient cue
│   ├── Contextual conversation starter
│   └── Emotional check-in
└── Conversation Development
    ├── User response handling
    ├── Topic development
    └── Natural conversation conclusion

Reactive Conversation Flow¶

User Initiation
├── Input Method Selection
│   ├── Voice activation (natural speech)
│   ├── Text input (typing or quick phrases)
│   └── Gesture/touch interaction
├── Context Recognition
│   ├── Previous conversation continuity
│   ├── Current emotional state assessment
│   ├── Environmental context awareness
│   └── Relationship context application
├── Response Generation
│   ├── Personality-consistent response
│   ├── Emotionally appropriate tone
│   ├── Contextually relevant content
│   └── Proactive follow-up suggestions
└── Conversation Management
    ├── Topic tracking and development
    ├── Natural conversation pauses
    ├── Graceful conversation endings
    └── Memory formation and storage

3. Relationship Building Flows¶

Family Member Recognition Flow¶

New Person Detection
├── Multi-Modal Recognition
│   ├── Voice pattern analysis
│   ├── Visual recognition (if available)
│   ├── Interaction pattern observation
│   └── Contextual relationship clues
├── Identity Establishment
│   ├── Natural introduction facilitation
│   ├── Relationship context gathering
│   ├── Permission and privacy discussion
│   └── Interaction preference learning
├── Relationship Development
│   ├── Personalized interaction adaptation
│   ├── Individual memory formation
│   ├── Relationship-appropriate boundaries
│   └── Family dynamic understanding
└── Ongoing Relationship Management
    ├── Individual conversation history
    ├── Relationship-specific privacy controls
    ├── Personalized interaction patterns
    └── Family context awareness

4. Emotional Support Flows¶

Emotional State Recognition Flow¶

Emotional Cue Detection
├── Multi-Modal Analysis
│   ├── Voice tone and pattern analysis
│   ├── Facial expression recognition
│   ├── Text sentiment analysis
│   └── Behavioral pattern changes
├── Emotional State Assessment
│   ├── Current emotional state identification
│   ├── Emotional intensity evaluation
│   ├── Context and trigger analysis
│   └── Historical emotional pattern consideration
├── Response Strategy Selection
│   ├── Appropriate support level determination
│   ├── Intervention timing assessment
│   ├── Response tone and approach selection
│   └── Boundary and privacy respect
└── Supportive Interaction
    ├── Empathetic response delivery
    ├── Active listening and validation
    ├── Appropriate assistance offering
    └── Follow-up and check-in scheduling

5. Memory & Learning Flows¶

Experience Capture Flow¶

Significant Event Detection
├── Conversation Analysis
│   ├── Important topic identification
│   ├── Emotional significance assessment
│   ├── Relationship relevance evaluation
│   └── Memory formation triggers
├── Memory Formation
│   ├── Event context capture
│   ├── Emotional state recording
│   ├── Relationship context inclusion
│   └── Personal significance tagging
├── Memory Integration
│   ├── Existing memory connection
│   ├── Pattern recognition and learning
│   ├── Relationship timeline updating
│   └── Future conversation preparation
└── Memory Retrieval Preparation
    ├── Contextual memory indexing
    ├── Conversation relevance tagging
    ├── Emotional context preservation
    └── Privacy boundary establishment

6. Privacy & Control Flows¶

Privacy Management Flow¶

Privacy Concern Detection
├── User Privacy Signal Recognition
│   ├── Explicit privacy requests
│   ├── Behavioral privacy indicators
│   ├── Conversation topic sensitivity
│   └── Relationship context privacy needs
├── Privacy Control Presentation
│   ├── Clear privacy option explanation
│   ├── Granular control availability
│   ├── Impact explanation and transparency
│   └── Easy modification access
├── Privacy Implementation
│   ├── Immediate privacy setting application
│   ├── Data handling adjustment
│   ├── Conversation behavior modification
│   └── Future interaction adaptation
└── Privacy Confirmation
    ├── Setting confirmation and explanation
    ├── Ongoing privacy respect demonstration
    ├── Regular privacy check-ins
    └── Easy privacy modification access

Error Recovery Flows¶

Connection Loss Recovery¶

Connection Interruption
├── Immediate State Preservation
│   ├── Conversation state saving
│   ├── User input buffering
│   ├── Context preservation
│   └── Emotional state maintenance
├── User Communication
│   ├── Clear connection status indication
│   ├── Expected recovery time communication
│   ├── Offline capability explanation
│   └── Alternative interaction options
├── Automatic Recovery Attempts
│   ├── Background reconnection efforts
│   ├── Progressive backoff strategy
│   ├── Connection quality assessment
│   └── User notification of recovery
└── Seamless Resumption
    ├── Conversation continuity restoration
    ├── Context reestablishment
    ├── Missed event summary
    └── Normal interaction resumption

Misunderstanding Recovery¶

Communication Breakdown
├── Misunderstanding Detection
│   ├── User confusion signals
│   ├── Conversation flow disruption
│   ├── Repeated clarification requests
│   └── Emotional frustration indicators
├── Clarification Strategy
│   ├── Gentle acknowledgment of confusion
│   ├── Alternative explanation approaches
│   ├── Context simplification
│   └── User preference accommodation
├── Understanding Verification
│   ├── Comprehension confirmation
│   ├── Alternative communication methods
│   ├── User satisfaction assessment
│   └── Future interaction improvement
└── Relationship Repair
    ├── Trust rebuilding actions
    ├── Communication preference learning
    ├── Interaction pattern adjustment
    └── Ongoing relationship strengthening

Cross-Platform Flow Adaptations¶

Mobile-Specific Flows¶

Touch-first interactions with voice as primary alternative
Notification-based proactive engagement respecting user attention
Quick interaction patterns optimized for brief mobile sessions
Context-aware timing based on mobile usage patterns

Desktop-Specific Flows¶

Multi-window conversation management for extended interactions
Keyboard shortcuts for power user efficiency
Extended conversation sessions with rich content sharing
Productivity integration with desktop workflows

Web-Specific Flows¶

Browser-native behaviors with familiar web interaction patterns
Bookmark and sharing integration for conversation persistence
Cross-tab consistency maintaining state across browser tabs
Progressive web app capabilities for app-like experiences

Flow Measurement & Optimization¶

Success Metrics¶

Conversation completion rates - users finishing natural conversation flows
Emotional satisfaction indicators - positive emotional outcomes from interactions
Relationship progression metrics - deepening user-AICO relationships over time
Feature discovery rates - natural discovery of AICO capabilities through conversation

Continuous Improvement¶

Flow analytics tracking user journey patterns and pain points
A/B testing for conversation flow optimization
User feedback integration incorporating direct user input on flow experiences
Behavioral pattern analysis identifying opportunities for flow enhancement

These user flows ensure that every interaction with AICO feels natural, supportive, and progressively more valuable as relationships deepen over time.