More than 5 years ago, when I started to steer my design career towards the technological dark side, interactive prototypes weren’t as popular as they are now, but you could find some of them on the Internet.
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Machine learning (ML) is the science of helping computers discover patterns and relationships in data instead of being manually programmed. But as more and more experiences are built with ML, it’s clear that UXers still have a lot to learn about how to make users feel in control of the technology, and not the other way round.
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Accessibility has been a buzz word in the design community lately. What does it mean? “The Web is fundamentally designed to work for all people, whatever their hardware, software, language, culture, location, or physical or mental ability.
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Google Brain and data science platform Kaggle have announced an “AI Fight Club” to train machine learning systems on how to combat malicious AI. As computer systems become smarter, cyberattacks also become tougher to defend against, and this contest could help illuminate unforeseen vulnerabilities.
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Friction raises negative thoughts in most designer’s minds. When you ask designers about friction, most of them will tell you that friction damages a UX because it slows down interactions, reduces conversions, and impedes progress.
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