HAX Design Library

Interactive collection of the 18 Guidelines for Human-AI Interaction, with design patterns for applying them and examples.

Guideline 8

Guideline 8

Support efficient dismissal

Make it easy to dismiss or ignore undesired AI system services.
Guideline 8 > Example

Copilot in Outlook | G8: Support efficient dismissal

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Guideline 8 > Example

Copilot in Word | G8: Support efficient dismissal

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Guideline 8 > Example

Microsoft Forms | G8: Support efficient dismissal

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Guideline 8 > Example

Siri | G8: Support efficient dismissal

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Guideline 8 > Example

Instagram | G8: Support efficient dismissal

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Guideline 10

Guideline 10

Scope services when in doubt

Engage in disambiguation or gracefully degrade the AI system’s services when uncertain about a user’s goals.
Guideline 10 > Pattern 10A

Pattern 10A: Disambiguate before acting
Guideline 10 > Pattern 10A > Example

Copilot in Word | 10A: Disambiguate before acting

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Guideline 10 > Pattern 10A > Example

Github Copilot | 10A: Disambiguate before acting

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Guideline 10 > Pattern 10A > Example

iPhone | 10A: Disambiguate before acting

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Guideline 10 > Pattern 10A > Example

Google Search | 10A: Disambiguate before acting

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Guideline 10 > Pattern 10B

Pattern 10B: Avoid cold starts by eliciting user preferences
Guideline 10 > Pattern 10B > Example

Apple Music | 10B: Avoid cold starts by eliciting user preferences

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Guideline 10 > Pattern 10B > Example

Microsoft News | 10B: Avoid cold starts by eliciting user preferences

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Guideline 10 > Pattern 10C

Pattern 10C: Fall back to other strategies
Guideline 10 > Pattern 10C > Example

Box Skills | 10C: Fall back to other strategies

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Guideline 10 > Pattern 10C > Example

Kommunicate chatbot | 10C: Fall back to other strategies

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Guideline 10 > Example

Copilot in PowerPoint | G10: Scope services when in doubt

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Guideline 13

Guideline 13

Learn from user behavior

Personalize the user’s experience by learning from their actions over time.
Guideline 13 > Example

Amazon | G13: Learn from user behavior

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Guideline 13 > Example

Office Search | G13: Learn from user behavior

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Guideline 13 > Example

Amazon.com | G13: Learn from user behavior

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Guideline 14

Guideline 14

Update and adapt cautiously

Limit disruptive changes when updating and adapting the AI system’s behaviors.
Guideline 14 > Pattern 14A

Pattern 14A: Comprehensive updates
Guideline 14 > Pattern 14A > Example

YouTube | 14A: Comprehensive updates

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Guideline 14 > Pattern 14A > Example

Facebook | 14A: Comprehensive updates

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Guideline 14 > Pattern 14B

Pattern 14B: Immediate, partial, non-disruptive updates
Guideline 14 > Pattern 14B > Example

Google Search | 14B: Immediate, partial, non-disruptive updates

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Guideline 14 > Pattern 14B > Example

Spotify | 14B: Immediate, partial, non-disruptive updates

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Guideline 18

Guideline 18

Notify users about changes

Inform the user when the AI system adds or updates its capabilities.
Guideline 18 > Example

Office What’s New | G18: Notify users about change

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Guideline 18 > Example

Outlook Web | G18: Notify users about changes

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