This content originally appeared on NN/g latest articles and announcements and was authored by Kate Moran
Summary: AI chat and search lets users describe needs without exact keywords, but many don't know AI's full capabilities or how to prompt effectively.
AI chatbots and AI-driven search can help people find what they’re looking for — even if they don’t know what they’re looking for. In this way, generative AI tools can greatly alleviate a longstanding major pain point of a search-driven web. However, AI’s ability to help with this problem is still limited. In particular, many consumers are simply not aware of how powerful generative AI tools can be in information-seeking, and don’t know how to prompt to achieve better outcomes.
Keyword Foraging in Traditional Search
As one of our participants in recent qualitative studies on AI told us, “You don’t know what you don’t know.”
That’s an eternal challenge when humans seek to answer a question or learn about a topic. With traditional web search, users are severely limited by their ability to articulate their need. They have to know what they’re looking for in order to provide keywords to a search engine.
Read Full Article
This content originally appeared on NN/g latest articles and announcements and was authored by Kate Moran
Kate Moran | Sciencx (2025-08-22T17:00:00+00:00) How AI Succeeds (and Fails) to Help People Find Information. Retrieved from https://www.scien.cx/2025/08/22/how-ai-succeeds-and-fails-to-help-people-find-information/
Please log in to upload a file.
There are no updates yet.
Click the Upload button above to add an update.