HAX Design Library

Guideline 1

Make clear what the system can do

Help the user understand what the AI system is capable of doing.

Guideline 1 > Pattern 1A

Pattern 1A: Introductory blurb

Guideline 1 > Pattern 1B

Pattern 1B: Use explanation (G11) patterns

Guideline 1 > Pattern 1B > Example

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

Guideline 13 > Example

Amazon.com | G13: Learn from user behavior

Guideline 15

Encourage granular feedback

Enable the user to provide feedback indicating their preferences during regular interaction with the AI system.

Guideline 15 > Pattern 15A

Pattern 15A: Encourage explicit feedback on individual system outputs

Guideline 15 > Pattern 15B

Pattern 15B: Request explicit feedback on selected system outputs

Guideline 15 > Pattern 15C

Pattern 15C: Reporting inappropriate content

Guideline 15 > Pattern 15D

Pattern 15D: Use existing public rating or interaction data as feedback for the system

Guideline 16

Convey the consequences of user actions

Immediately update or convey how user actions will impact future behaviors of the AI system.

Guideline 16 > Pattern 16A

Pattern 16A: Feedforward: Convey the consequences of user actions before the user takes action

Guideline 16 > Pattern 16B

Pattern 16B: Feedback: Convey the consequences of user actions after the user takes action

Guideline 16 > Pattern 16C

Pattern 16C: Remind of consequences of a past action and ask for reconfirmation

Guideline 16 > Pattern 16D

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