Personalized AI doubles its odds of changing your mind | Real users reveal what synthetic users miss | AI summaries can bias users even when full information is available | Agentic video production cuts human oversight but raises costs | Missing feedback makes users doubt their actions | Consumers show little loyalty to AI services | Voice AI practice helps students speak up in class | Silence improves interviews | Master–detail split views halve navigation work

Marking mechanisms are the cheapest usability win on the web: a tap turns a fleeting encounter into a durable, refindable object. But marking serves three distinct jobs (evaluate, curate, retrieve) that designers keep mashing into a single overloaded button. Use a heart for likes, a star for favorites, and a flag for bookmarks. Marks travel a 3-stage journey (keep, manage, exploit), so plan for collections that grow into the thousands.

The flow state & UX | AI has reshaped creative jobs, and 70% of creatives now use it | The cost of AI drops 13× per year | Every extra option adds thinking time | Design the human–AI team as one unit | Proactive AI must time interruptions carefully | Satisfaction depends on expectations | Carousels are an experience lottery

Misleading information scent sends users boomeranging back to the search results | Forecasters keep underestimating AI, except in the physical world | Optimistic Asia adopts AI faster than the worried West | False alarms teach users to ignore real ones | The feedback that trains AI needs usability testing | Disabled buttons are a teachable moment | Users think with their bodies

Flow is the state of total absorption in which work feels effortless, time evaporates, and performance peaks. Its 3 preconditions (clear goals, immediate feedback, and a challenge matched to skill) translate directly into design requirements, and its two great enemies are latency and interruption.

Designers use AI most for ideation and least for finishing | Product managers benefit more from AI than designers | AI tutors as good as human experts but 918 times cheaper | Icons need text labels | Users must be able to halt an AI run | Easy-in, easy-out | Observe–Orient–Decide–Act (OODA)

Superusers use AI 15× the norm | Checking AI’s work is becoming a burden | Uniting writing and design | Respect the user’s work above all | The form that fills itself | Fingers can’t hover | Main AI benefit is saving time | Don’t ask users for information the computer should know | How much human should your interface transmit?

In under 4 years, AI has acquired 3 interaction styles: Turn-Taking AI answers the questions you ask, Task Agents finish the jobs you assign, and Always-on Agents fill the roles you appoint them to and start work on their own. The styles coexist as rungs on a ladder of delegation that users climb up and down.

Thumbnails are miniature previews that let users choose by looking instead of reading. They exploit the staggering speed of human scene perception, but fail as twins (neighbors that look identical) or as lies (previews that misrepresent what’s behind the click). Two rules follow: differ from your neighbors; resemble your destination. Every thumbnail is a promise about the click.

Too easy to fail CAPTCHA verification | Rethinking undo for the AI age | Waymo gets 25% safer every year, a crawl for AI but a sprint for cars | Students disliked the AI tutoring style that’s likely best for learning | Scrolling belongs to the user | A floating action button should promote one hero action | Excess form fields are a usability curse

How Erik the Red discovered Greenland | AI now codes user comments as well as UX researchers do | Google’s Nano Banana 2.1 is only a marginal upgrade | Scrolling imposes a memory load if related items are far apart | Users quickly settle on a narrow set of AI prompts | The average user doesn’t exist

People don’t decide the way classical economics assumes. They take mental shortcuts and follow seemingly irrational rules that were tuned for survival in the Paleolithic, not for pricing pages. This article distills the key behavioral economics findings into 50 design guidelines, plus two numbers worth memorizing: losses hurt about twice as much as gains please, and a nudge moves behavior by about 1.4 percentage points.

AI errors halve every 5 months on accounting tasks | Meta’s AI appliance, the Muse Charm | Synthetic users can revive participatory design and drive divergence in the exploratory design phase | Context changes what counts as usable, so test where the work happens | Synthetic users give too-nice feedback

Asking users to watch AI carefully is doomed to failure | Adaptive authoring of content that changes depending on the reader | A cluttered experience kills user focus | To predict patients’ treatment preferences, discussing medical dilemmas beat both survey responses and the patients’ own spouses | Measure outcomes, not vanity metrics | Spotlight the main features and keep specialized options backstage | Allow users to paste passwords | Ambient AI works in the background

Users judge your design against the version they imagined before first use. When the experience confirms expectations, they’re satisfied; when it falls short, the same product disappoints. And the bar never stops moving: every improvement you ship becomes the baseline users bring to the next release. Expectations also shape the work people attempt and the effort they devote to checking the result.