Behavioral Mapper

1. Feature Description:

Behavioral Mapper is a built-in system that continuously analyzes user behavior, routines, and habits in the background.
It creates a dynamic behavioral map over time, allowing Omi to make better decisions and personalize suggestions without the user needing to explicitly define themselves.

2. Use Cases:

Timing Prediction: Suggests optimal times for tasks based on daily energy/activity patterns.
App Usage Tracking: Identifies distraction periods based on frequent app usage.
Focus/Distraction Cycles: Learns when the user tends to concentrate vs. lose focus.
Task Scheduling Insight: Reschedules tasks based on observed consistency or failures.
Routine Detection: Recognizes and offers to automate consistent daily routines.

3. Benefits:

High accuracy in time-based planning.
Deep personalization of Omi’s AI engine.
Helps users discover their behavioral patterns.
Enables data-driven habit tracking.
Smarter timing for notifications and recommendations.
Prevents users from falling into unproductive cycles.

4. Challenges and Risks:

Privacy Concerns: Requires transparency and user consent.
Overgeneralization Risk: Needs adaptable algorithms to avoid incorrect assumptions.
False Positives: Misinterpretation can lead to poor recommendations without a feedback loop.

5. Android & iOS Feasibility:

Android: Allows background activity and sensor tracking.
iOS: More limited; better performance via wearable (Omi necklace).
Solution: Dual-channel system — wearable handles sensor data, app handles digital behavior.

6. Suggested Working Principle:

Data Collection: Gather from voice interactions, movement, app usage, etc.
Behavior Tagging: Identify patterns and exceptions.
Map Creation: Build a time-based map of behavior:
- Morning routine: 08:00–09:00
- Distraction zone: 14:30–15:00
- Focus window: 10:00–12:00
Model Updating: Weekly refresh and pattern evolution.
Integration: Influence other systems — task management, notifications, habit suggestions, etc.

Omi