ux-research 1 linked patterns checked
People + AI Guidebook: Mental Models
Documents AI onboarding guidance for benefits, primary limitations, feedback, co-learning, safe exploration, human-like expectation risks, and clear communication of AI capabilities and limits.
Read with a purpose
What this source can teach
Use this source to examine the study question, participants, observations, and limits before applying a finding.
- Start with the original. Open the source and find the guidance or example relevant to your task.
- Trace the connection. Use the claim notes below to see how this site applies the source to specific patterns.
- Check the setting. Compare the source's platform, people, and constraints with your own decision.
Pattern Decisions This Source Supports
| Pattern | Supported decision | Required contract | Claim note |
|---|---|---|---|
| AI limitation onboarding | Choose AI limitation onboarding when the user needs first-use or changed-capability orientation about AI benefits, limits, data scope, uncertainty, feedback, human responsibility, and fallback. | The onboarding explains what the AI can help with and what it is not able to do before the first risky use. | Supports onboarding that explains AI benefits, primary limitations, safe exploration, co-learning, human-like expectation risks, and capability boundaries. |
Comparisons supported by this source
- AI limitation onboarding vs onboarding vs inline message vs warning text vs confidence uncertainty display vs source grounding display vs scope clarification vs human approval gate
Supports AI onboarding around benefits, limits, safe exploration, co-learning, and human-like expectation risk.
Evidence Role
This source is treated as ux-research evidence. Its value comes from the specific claims and setting described above.
Publisher: Google PAIR. Last checked: .