data
INSUFFICIENT DATA FOR MEANINGFUL ANSWER.
The Eyes Have It
A Research Paper by Ben ShneidermanThe trend is your friend 'til the bend at the end
A Fragment by Noah SmithIn the past, GDP and resources use have always been tightly correlated. But this is just drawing a line through some data — it’s not based on any deep theory. And in fact, these correlations can change very quickly. Just as one example, here’s energy use versus GDP since 1949.
If you were sitting in 1970, you could look at this curve and claim, very confidently, that economic growth requires concomitant increases in energy use. And you’d be wrong. Because the trend is your friend til the bend at the end.
Embracing Asymmetrical Design
An Article by Ben NadelHumans love symmetry. We find symmetry to be very attractive. Our brains may even be hard-wired through evolution to process symmetrical data more efficiently. So, it's no surprise that, as designers, we try to build symmetry into our product interfaces and layouts. It makes them feel very pleasant to look at.
Unfortunately, data is not symmetrical…Once you release a product into "the real world", and users start to enter "real world data" into it, you immediately see that asymmetrical data, shoe-horned into a symmetrical design, can start to look terrible.
To fix this, we need to lean into an asymmetric reality. We need to embrace the fact that data is asymmetric and we need to design user interfaces that can expand and contract to work with the asymmetry, not against it. To borrow from Bruce Lee, we need to build user interfaces that act more like water:
“You must be shapeless, formless, like water. When you pour water in a cup, it becomes the cup. When you pour water in a bottle, it becomes the bottle. When you pour water in a teapot, it becomes the teapot. Water can drip and it can crash. Become like water my friend.” — Bruce Lee
Goodbye, Google
An Article by Douglas BowmanWithout a person at (or near) the helm who thoroughly understands the principles and elements of Design, a company eventually runs out of reasons for design decisions. With every new design decision, critics cry foul. Without conviction, doubt creeps in. Instincts fail. “Is this the right move?” When a company is filled with engineers, it turns to engineering to solve problems. Reduce each decision to a simple logic problem. Remove all subjectivity and just look at the data. Data in your favor? Ok, launch it. Data shows negative effects? Back to the drawing board. And that data eventually becomes a crutch for every decision, paralyzing the company and preventing it from making any daring design decisions.
Yes, it’s true that a team at Google couldn’t decide between two blues, so they’re testing 41 shades between each blue to see which one performs better. I had a recent debate over whether a border should be 3, 4 or 5 pixels wide, and was asked to prove my case. I can’t operate in an environment like that. I’ve grown tired of debating such minuscule design decisions. There are more exciting design problems in this world to tackle.
The Subtleties of Color
A Series by Robert SimmonThe use of color to display data is a solved problem, right? Just pick a palette from a drop-down menu (probably either a grayscale ramp or a rainbow), set start and end points, press “apply,” and you’re done. Although we all know it’s not that simple, that’s often how colors are chosen in the real world. As a result, many visualizations fail to represent the underlying data as well as they could.
Data Farming
A Research PaperMiners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data.
Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information.
Spatial Interfaces
Software applications can utilize spatial interfaces to afford users powerful ways of thinking and interacting. Though often associated with gaming, spatial interfaces can be useful in any kind of software, even in less obvious domains like productivity tools or work applications. We will see spatial interfaces move into all verticals, starting with game-like interfaces for all kinds of social use-cases.
There is no app that replicates a deck of cards
It seems that the only way to build an app that replicates the full functionality a deck of cards is to build a 3D simulation or game. Model the cards in 3D and put them on a 3D table. As long as you have controls for reaching out and picking up the cards, and moving them in space, you can do anything you can do in real life.
Preserving the higher dimensionality makes it simpler and more intuitive, not less.
Humans are spatial creatures
Humans are spatial creatures. We experience most of life in relation to space. We sit in a circle with our family. We drive down the left side of the road in Ireland and try to stay in our lane. We ride scooters down a path along the water. We sculpt a human body out of stone. We follow signs to our train. We walk, through arches, or on crosswalks beside bike lanes, or to follow our brother across a bridge. We position our camera to frame the shot while our friend leans out over a balcony. We sense ourselves in space in relation to all of the other objects in our environment.
And this is powerful knowledge that we've left out of lots of software. In fact, while most obvious in 3D, this thinking does work outside of just three-dimensional software. Almost any software can use spatial concepts to become easier to understand.
Web trails
There's more room for spatial concepts to become part of our web browsing experience.
One example is an idea I call "trails." It's based on the story of Hansel and Gretel walking through the forest and leaving a trail of breadcrumbs behind them, so that they could find their way back later. What if you could do this on the web?
A breadcrumb in this case is a single pixel that you can place in a precise location on a webpage. Placing a breadcrumb could be as simple as Option + click. While navigating the web, you could leave breadcrumbs on different pages you find interesting over the course of a browsing session. When you're done, that sequential "trail of breadcrumbs" would be saved. You could then jump back into the trail and navigate "forward" and "backward" through the things you found interesting in that browsing session. Or share the trail with a friend, and they could step through your spatial path of navigating the web.