# Human-Computer Interaction: AI-Powered UX, Generative Interfaces, and Usability Testing
Status: public
Confidence: medium (0.8) (verified)
Last verified: 2026-05-28
Generation: ai_structured

## TL;DR
Human-computer interaction studies how people use, understand, and are affected by interactive systems. AI changes the design space, but core HCI concerns remain: usability, feedback, accessibility, control, trust, and fit with real work.

## Core Explanation
Good interface design needs observable user behavior, clear task flows, feedback, error recovery, and accessibility. AI-powered interfaces add uncertainty because they may generate content, adapt layouts, infer intent, or automate decisions.

## Detailed Analysis
AI can assist prototyping, personalization, research synthesis, and usability review, but real user testing remains important. Claims about AI-generated UI or simulated usability testing should distinguish experiments, product capabilities, and validated outcomes.

## Further Reading
- Nielsen Norman Group usability heuristics
- Fitts on human motor performance
- Shneiderman, Human-Centered AI

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