Designing Anticipated User Experiences
summary
Claim: machine learning can cut decision overload by predicting next moves and surfacing only the right option at the right moment. Tools shown include experience maps, GPS and time triggers, an adaptive airport layout and immediate hotel feedback form built for truffle birth, plus references to Nest, Uber experiments and Google slices. Numbers cited are 35,000 decisions a day (rising toward 100,000 with messaging). Ethics notes document filter bubbles, privacy tradeoffs and the need for opt-outs and human variation.
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chapters (11)
- 0:00Introduction
- 1:07UX design evolution
- 3:20Decision overload problem
- 6:51Anticipatory design principles
- 9:29Ethics in predictive UX
- 10:13Stress-free user journeys
- 13:30Intelligent interface trends
- 14:33Ethics of predicted experiences
- 17:30Predictive systems design
- 21:10Anticipatory design movement
- 22:44Q&A
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