A study by Nielsen Norman Group with 77 U.S. adults found that AI-generated images on a fictional consulting firm's website did not reduce perceived trustworthiness, professionalism, or authenticity c…
Nielsen Norman Group published a glossary defining AI terminology for product and UX work, covering terms such as agent, agentic AI, AI engineering, AI slop, AI washing, algorithm, alignment, anthropo…
AI is shifting enterprise software from command-based interfaces to intent-based ones, where users state what they want and the system interprets it, representing the biggest change in UX since the gr…
Nielsen Norman Group (NN/g) warns that evaluating AI systems by a single output is misleading because AI outputs are nondeterministic, and one good result is an example, not an evaluation. The firm re…
Dogfooding, the practice of using one's own products internally to improve them, is often conflated with performative loyalty and has a limited usefulness for product teams, according to the Nielsen N…
A Nielsen Norman Group article argues that even if AI becomes capable of producing research outputs indistinguishable from human experts, human-led research remains essential because it generates lear…
A developer advises that production AI voice agents should start speaking within 800ms-1.2 seconds of a caller finishing a sentence, as delays past 2 seconds cause callers to assume the line dropped o…
A new framework from the Nielsen Norman Group identifies five essential qualities for site-specific AI chatbots: handoff willingness, flexibility, proactivity, emotional responsiveness, and transparen…
Enterprise AI adoption hinges on tailored explainability for technical roles such as developers, system administrators, and domain experts, according to a Nielsen Norman Group analysis. The article ar…
Large language models can generate thousands of simulated survey responses by varying demographic prompts and sampling internal randomness, but independent research from Gallup, NORC, and Stanford GSB…