HAX Design Library

Guideline 2

Make clear how well the system can do what it can do

Help the user understand how often the AI system may make mistakes.

Guideline 2 > Pattern 2A

Pattern 2A: Match the level of precision in UI communication with the system performance – Language

Guideline 2 > Pattern 2B

Pattern 2B: Match the level of precision in UI communication with the system performance – Numbers

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

Guideline 2 > Pattern 2C > Example

Kayak | 2C: Report system performance information

Guideline 2 > Pattern 2D

Pattern 2D: Provide low performance alerts

Guideline 5

Match relevant social norms

Ensure the experience is delivered in a way that users would expect, given their social and cultural context.

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 14B

Pattern 14B: Immediate, partial, non-disruptive updates

Guideline 14 > Pattern 14B > Example

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

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 15A > Example

Instagram | 15A: Encourage explicit feedback on individual system outputs

Guideline 15 > Pattern 15A > Example

Google Search | 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 15C > Example

Twitter | 15C: Reporting inappropriate content