Mind-Reading with adaptive UIs
summary
Claims that UIs can “mind‑read” by modeling user flows and feeding transition metrics back into the app, and shows concrete tools and results: XState statecharts for executable models, transition analytics (D3 visualizations and weighted graphs) to find surprising paths, and a browser reinforcement learning tic‑tac‑toe demo that learns human moves. Implements a feedback form that stops asking after a measured threshold and reports that these techniques run and improve UX in real examples.
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chapters (5)
- 0:00Start
- 18:43Analysis of transitions
- 19:25Decision trees
- 21:05Higher-order Markov models
- 21:31Deep Reinforcement Learning
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