Designers loathe to be told to design something “eye-catching”—it’s the vaguest of briefs. But for Amy Alberts, a user research manager at the data visualization company Tableau, determining the things that catch a person’s eye is an exact science.
With a masters degree in applied cognitive psychology, Alberts has done years of research on what involuntary patterns in eye movement reveal about the human brain. As a researcher at Microsoft and now at Tableau, Alberts has applied her psychology background to examine what those eye movements can teach us about interface and data design.
At last year’s Tableau Conference, Alberts conducted an eye-tracking study with the conference’s participants. She asked them to look at various dashboards—the presentation displays that show a company’s analytics—while an eye tracker traced the movement of their gaze across the page. She recently released the results of those tests in a whitepaper, which details the elements of the data visualizations and layout design that most draw a viewer’s attention.
Designers know implicitly that certain things, like strong imagery and high contrast colors, will grab a viewer’s attention. But the value of the Tableau study is that it shows that even within commonly held standards of good design, there are some approaches that work better, and more consistently, than others. “The thing that I think was interesting is that there seems to be—in this research as well as general brain research—certain elements like maps, big number, line graphs, and so on, that are more compelling than others,” Alberts says. “They draw attention faster than other ones; there’s a hierarchy.”
In tracking attention-grabbing design, this nascent science seeks to quantify user experience by viewing design and functionality through the user’s eyes.
WHAT DRAWS THE EYE? BIG NUMBERS–AND HUMANS
One of the most striking patterns that the study showed was how effective large numbers were at drawing a viewer’s attention.
The analysis showed that numbers set in large type got a lot of “visual attention”—a term Alberts uses to distinguish eye movement from actually seeing and absorbing content, the latter of which can’t be proved just from eye-trackers. Numbers set in large type were also consistently one of the first things on the page that received that attention. “A big number is the neon sign of dashboards,” says Alberts. “Eyes go to it immediately.”
Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7:30pm ET! To join, head over to YouTube and check out the show’s live chat and our Discord!
Python for Microcontrollers – Adafruit Daily — Python on Microcontrollers Newsletter: The latest on Raspberry Pi RP2350-E9, Bluetooth 6, 4,000 Stars and more! #CircuitPython #Python #micropython @ThePSF @Raspberry_Pi
EYE on NPI – Adafruit Daily — EYE on NPI Maxim’s Himalaya uSLIC Step-Down Power Module #EyeOnNPI @maximintegrated @digikey