Field notes
2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
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3 of 2,343 notes match.
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Notes on user experience
3 notes
An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory
The paper presents an 'explainable agentic system' for detecting conversational scams over multiple messages, which existing systems often fail to do effectively. The new system achieves high accuracy in both…
AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
This research study examines over 15,000 user reviews of AI healthcare chatbot apps to identify common breakdowns in their performance. The study found three main issues: access barriers, service unreliability, user…
AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
A study analyzing over 15,000 user reviews of AI healthcare chatbot apps found recurring issues with access barriers, service unreliability, user experience, interaction quality, billing, and customer support. Privacy…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
