cognitive-science

## What I do - Apply cognitive science to AI design - Understand human cognition for better UX - Design human-centered AI systems - Model cognitive processes - Create intuitive interfaces ## When to use me Use me when: - Building human-centered AI - Designing intuitive interfaces - Understanding user mental models - Improving AI interpretability ## Key Concepts ### Cognitive Principles for AI - **Mental Models**: Users have internal representations - **Attention**: Limited capacity, needs prioritization - **Memory**: Working memory constraints, chunking - **Decision Making**: Bounded rationality ### Cognitive Load in UI ```python # Principles to reduce cognitive load design_principles = { "progressive_disclosure": "Show complexity gradually", "chunking": "Group related items (7±2)", "visual_hierarchy": "Guide attention", "consistency": "Reduce learning", "feedback": "Confirm actions", "recognition_vs_recall": "Minimize memory load" } ``` ### User Mental Models - Match system to user's conceptual model - Use familiar metaphors - Provide clear affordances - Enable undo and recovery - Manage expectations ### Applying Cognitive Science - **Information Processing**: Input → Processing → Output - **Dual Process Theory**: System 1 (fast, intuitive) + System 2 (slow, deliberate) - **Gestalt Principles**: Proximity, similarity, continuity - **Fitts's Law**: Time to reach target depends on distance/size