Your winning AI strategy for 2024
2023 was the year you had to experiment with AI. This year is where you need to see your first returns. But you know by now that’s easier said than done. Here’s your guide to a winning AI strategy in 2024.
2023 was the year you had to experiment with AI. This year is where you need to see your first returns. But you know by now that’s easier said than done. Here’s your guide to a winning AI strategy in 2024.
An interaction experiment for easier transfer of accessibility settings across devices and platforms.
With the release of the Apple Vision Pro, the VR and AR space (I mean, Spatial Computing!) has found some new energy. But before these devices become mainstream, we ask ourselves whether this is a blessing or a curse for accessibility.
A few years ago, Josh Puckett wrote a stellar article about his future vision for modern design tools and how they could incorporate real data. A lot of improvements have been made to our design tools but there are still so many possibilities. Easily tapping into live data without the need for code remains the Holy Grail. But he argues: Working with real data is as much about a mental shift in our thinking as it is having better tools. And that’s what I will look at in the second part of this series.
This is not the millionth article that will tell you to base your UX decisions on an obscure combination of metrics. Data-driven can be taken quite literally: using real data in the design process from start to finish. This is an overview of where we are now and what lies ahead. In part 1 of this series we’ll look at how you can gather data.
While working on a recent project I was struggling with optimizing the readability of the content in the interface. The product is a safety-cricital interface used in aviation with lots of codes in small sizes. Good readability is crucial to make sure the users can do their job well and with as little fatigue as possible.