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.
Back to the Drawing Board
The lost art of drawing for engineers and architects.
- You can almost tell which software they were designed in
- Conversational drawing
- The effort heuristic
- Tablets have caught up
You can almost tell which software they were designed in
Tatiana von Preussen, cofounder of London practice vPPR Architects, says that certain software comes with constraints that encourage a particular style:
“Something I’ve noticed with new buildings is that you can almost tell which software they were designed in. For instance, if you take Revit, it’s very hard to freely create non-orthogonal, non-linear geometries, and it’s very easy to create repetitive elements, so it lends itself to a particular way of building.”
Conversational drawing
A skilled draughtsman guides design conversations by selecting and emphasizing details in a way that computer programmes cannot. Ron Slade, author of Sketching for Engineers and Architects and a structural director at WSP in London, calls it “conversational drawing”. He notes how botany field guides are always based on detailed drawings rather than photographs — as much for what they leave out as for what they show. “Extraneous material that might exist in a photograph is eliminated. It may be important to pick out and illustrate particular areas and leave other parts in sketchy or broad outline.”
The effort heuristic
Psychologists have noted that people tend to place greater artistic value on images when they can see the work that has gone into them — a tendency known as the “effort heuristic”. They are also more likely to connect emotionally with the work if they can detect the human hand, says Goldsmiths’ Chamberlain. “There’s an argument that if we see a brush stroke, we almost recreate it, and that’s part of the connection we feel with the artist — you can feel the intention.”
Perhaps to capitalize on this, some architects now show presentation drawings that look hand-drawn but are actually generated entirely by computer. “It’s totally fake,” says Brillhart. “They just take a computer image into Photoshop and put filters over it to make it look like it’s drawn by hand. It’s kind of amusing — instead of just sitting down and drawing for an hour, they spend eight hours making it look like a hand drawing.”
Tablets have caught up
But in the past couple of years, Brennan believes that tablets have caught up, with apps such as Apple’s ProCreate and Morpholio’s Trace becoming far more responsive to the user’s marks. “Tablets didn’t used to have that immediate response, from brain to eye to hand to pen to paper. A half-second delay has a huge impact on how you think — it causes you to stumble. But now that lag’s gone, it’s almost the same as drawing with pen on paper. You don’t need to engage with the airbrushes or other features — just use it in its purest form.” The stylus, too, far more convincingly apes a manual pen: “You’re able to tune it to almost replicate your favourite pen — and it doesn’t run out of ink.
Chetwood is an iPad devotee, using it to produce fantastical urban artworks as well as architecture. Far from hindering the drawing process, he believes tablets will give rise to a new era of creative drawing. “A lot of people say technology and computers are taking away the true art of drawing. That’s rubbish, it releases sketching. You can move so much quicker and change things much more quickly, and it keeps a record of what you’re doing. The control is just brilliant.” The polished glass surface is the only flaw, but textured acetates applied to the screen can make it feel more like paper.