Interface
Interface
Human-AI Interaction — designing the touchpoint where users actually experience and interact with the value of AI.
Role of this domain
Interface is the only touchpoint in the five-domain framework where users directly experience AI. No matter how strong the infrastructure and orchestration underneath it are, AI adoption fails if the user experience is bad.
flowchart LR
A["⚙️ Orchestration<br/>Internal processing"] --> B["🤝 Interface<br/>User touchpoint"]
B --> C["User<br/>Perceived value"]
B --> D["Feedback<br/>collection"]
D --> A
style B fill:#16A34A,stroke:#15803D,color:#fff
style A fill:#7C3AED,stroke:#6D28D9,color:#fff
style C fill:#EA580C,stroke:#C2410C,color:#fff
style D fill:#2563EB,stroke:#1D4ED8,color:#fff
Core components
| Component | Description |
|---|---|
| UI/UX design | Conversational UI (CUI), multimodal optimization |
| Multimodal input | Handling and visualizing images, voice, diagrams, and other input types |
| AI literacy | Guidance that helps users make effective use of AI |
| Feedback loops | Collecting user feedback and feeding it back into the system |
Core focus: managing psychological acceptance
Interface is not simply a technical UI problem — it’s the domain that manages users’ psychological acceptance of AI.
- How do users react when the AI is wrong?
- Is there over-reliance on, or under-trust of, AI output?
- Can users control how they collaborate with AI themselves?
Health check questions
“Do users understand the limits of AI and use it appropriately?”
- Does the interface clearly indicate that content is AI-generated?
- Is user feedback (thumbs up/down) actually connected to system improvement?
- Does multimodal input reflect users’ real needs?
- Is AI literacy training provided on a regular basis?