Body agency is a power returned after an incident took it away from the user's physical form, and some wearable devices and technologies have this exact goal in mind.
For decades in SAAS, products reduced ambiguity. Users supplied constrained inputs, and the system handled the output. It's never been Minority Report cinematic, but it was predictable. By providing predictable environments for manipulating data, users learned by moving things, adjusting variables - and the outcome emerged through interaction.
Game controllers have not changed much in shape since the mid-1990s. They're still two-handed symmetrical slabs built around adult grip dimensions, loaded with enough buttons to pilot a small aircraft. For a 10-year-old just getting into gaming, picking one up for the first time is a bit like being handed a TV remote and told to perform surgery, no sweat.
Performance is a critical factor in user engagement, where even minor delays in loading can deter users. A clean and simple user interface also contributes significantly to user retention.
Ana proposed the following: Is this enough in 2026? As an occasional purveyor of the visually-hidden class myself, the question wriggled its way into my brain. I felt compelled to investigate the whole ordeal. Spoiler: I do not have a satisfactory yes-or-no answer, but I do have a wall of text!
The normative form for interacting with what we think of as "AI" is something like this: there's a chat you type a question you wait for a few seconds you start seeing an answer. you start reading it you read or scan some more tens of seconds longer, while the rest of the response appears you maybe study the response in more detail you respond the loop continues
LLMs have made AI assistants a standard feature across SaaS. AI assistants allow users to instantly retrieve information and interact with a system through text-based prompts. Mathias Biilmann, in his article " Introducing AX: Why Agent Experience Matters," discusses two distinct approaches to building AI assistants. The Closed Approach involves a conversational assistant embedded directly within a single SaaS product. Examples include Zoom's AI Companion, Salesforce CRM's Einstein, and Microsoft's Copilot. The Open Approach involves external conversational assistants, such as Claude, ChatGPT, and Gemini,
For decades, people with disabilities have relied on service dogs to help them perform daily tasks like opening doors, turning on lights, or alerting caregivers to emergencies. By some estimates, there are 500,000 service dogs in the U.S., but little attention has been paid to the fact that these dogs have been trained to interact with interfaces that are made for humans.
Turning a computer monitor from a landscape position to a portrait position may seem odd at first. After all, a horizontal display allows you to see more content on-screen, plus it is a more familiar experience. However, there are certain situations where flipping your screen vertically is genuinely useful. Programmers, for example, often prefer this orientation because it lets them see more lines of code without needing to scroll. Writers, like myself, appreciate this mode, as it makes reading and creating documents easier.
Settling in for "just one more run" usually means your thumbs, wrists, or forearms start complaining long before the game is done. Most controllers are fixed objects that expect your body to adapt, which can lead to repetitive strain or numbness. You either push through the discomfort or take breaks that feel like interruptions, but rarely can you adjust the hardware itself to match how your hands actually feel in that moment.
Artificial intelligence is undergoing a fundamental transformation, moving beyond the screen-based interactions that have dominated consumer technology for the past decade. At this year's Consumer Electronics Show (CES) in Las Vegas, the shift became particularly evident as companies showcased AI systems designed to operate directly with physical devices and smart home environments. The evolution represents a significant departure from current AI assistants, which remain largely confined to specific devices or require explicit user commands.
As simple as it might sound, getting a wireless mouse design right is not a simple task. The number of variables involved due to hand shapes, finger sizes, and the preferred hand for operating the accessory makes it impossible to design a mouse that suits all.
I went hands-on with the TrackPad Pro earlier this year and found it to fill a gap in the market as a premium, highly customizable trackpad for Windows, targeting creatives, programmers, or everyday users who prefer using gestures on either a laptop or desktop. The result is a device that lacks distinct parallels on the market, particularly at this level of hardware. It features a 240Hz report rate for mouse-level accuracy, powered by multiple layers of click haptics.
Autonomy is an output of a technical system. Trustworthiness is an output of a design process. Here are concrete design patterns, operational frameworks, and organizational practices for building agentic systems that are not only powerful but also transparent, controllable, and trustworthy. In the first part of this series, we established the fundamental shift from generative to agentic artificial intelligence. We explored why this leap from suggesting to acting demands a new psychological and methodological toolkit for UX researchers, product managers, and leaders.
Progressive disclosure is a well-known principle in UX design. This principle is about showing users only what they need right now, and revealing more options or information gradually as they interact or gain context. The goal is to reduce cognitive load, keep interfaces clean and approachable, and still support advanced use cases when needed. The principle of progressive disclosure can be applied not only to the user interfaces we design, but also AI tools we use.
