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HAX Design Library
Interactive collection of the 18 Guidelines for Human-AI Interaction, with design patterns for applying them and examples.
Guideline 2 > Pattern 2A
Pattern 2A: Match the level of precision in UI communication with the system performance – Language
G2: Make clear how well the system can do what it can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 2 > Pattern 2B
Pattern 2B: Match the level of precision in UI communication with the system performance – Numbers
G2: Make clear how well the system can do what it can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 2 > Pattern 2B > Example
Uber Eats | 2B: Match UI communication precision with system performance — Numbers
Guideline 2 > Pattern 2C
Pattern 2C: Report system performance information
G2: Make clear how well the system can do what it can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 2 > Pattern 2D
Pattern 2D: Provide low performance alerts
G2: Make clear how well the system can do what it can do.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 2 > Pattern 2D > Example
Google Maps | 2D: Provide low performance alerts
Guideline 14 > Pattern 14A
Pattern 14A: Comprehensive updates
G14: Update and adapt cautiously.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 14 > Pattern 14B
Pattern 14B: Immediate, partial, non-disruptive updates
G14: Update and adapt cautiously.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 15 > Pattern 15A
Pattern 15A: Encourage explicit feedback on individual system outputs
G15: Encourage granular feedback.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 15 > Pattern 15B
Pattern 15B: Request explicit feedback on selected system outputs
G15: Encourage granular feedback.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 15 > Pattern 15B > Example
Google Maps | 15B: Request explicit feedback on selected system outputs
Guideline 15 > Pattern 15C
Pattern 15C: Reporting inappropriate content
G15: Encourage granular feedback.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 15 > Pattern 15D
Pattern 15D: Use existing public rating or interaction data as feedback for the system
G15: Encourage granular feedback.
Advertising
Chatbot
E-commerce
Email
Health and wellness