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## Can’t Unsee – A Game about the Visual Details

In my recent lectures about interactive systems, I talked a lot about standards and guidelines for visual design. When I learned about Can’t Unsee,I had to share this with my students at once. It is a little game where you can learn quite a lot about the details of visual design.

It shows you two alternatives of designs differing only in a few or even one detail. The further your get, the harder the challenge becomes. While the differences are obvious in the beginning the details are getting harder to realize by time.

I can y recommend to play this little game, if yo want  increase your sensibility to the little details of visual design.

Categories

## Processing a Larger Pair

Yesterday, I had my first poker round for a very long time with two good friends of mine. A couple of years ago, we started playing Texas Hold’em – as computer scientists, of course just because of the maths and statistics.

During yesterdays game, we had a great hand facing a pocket pair of sevens a pocket pair of aces. By the flop and turn two more sevens came up providing me four of a kind and eventually the pot. Afterwards we had a nice chat about when and how to play a pocket pair as with three or less players on the table, one would play a pocket pair to the very end most of the times. However, with yesterdays hand in mind, I was quite interested in the statistics and the probability, my opponent might have a larger pair than 77.

I thought of this being a nice exercise for today visualizing this using Processing. As for any visualization, I needed some data. Therefore, I picked the corresponding table of probabilities from the Poker probability page on Wikipedia.

The visualization itself is straight forward, drawing he probabilities, axis and finally the labels. I decided to draw the axis after he probability curves simply to keep them on top of any other element on the canvas.

```void draw()
{
for(int col = 1; col < colCount; col++) {
drawProbability(col);
}
drawAxis();
drawLabels();
}```

Finally, the result looks like the following. Indeed, you can see, that within a game of three people, there is only a 12% chance that someone would get a larger pair even if you hold a pocket pair of twos.

Of course, you could create such a chart using Microsoft Excel and there is no rocket science in this visualization. However, this was quite a nice exercise to re-activate my Processing skills. Positioning of labels is done relative to the size of the canvas and the length of the text as well as the color chosen for the number of opponents is chosen dynamically. The whole example is available at http//aheil.codeplex.com.

Categories

## A Simple Vedea Example

My colleague at Microsoft Research in Cambridge, Martin Calsyn recently unveiled the second project we are working on at the Computational Science Laboratory at Microsoft Research in Cambridge, UK. The Microsoft Visualization Language codenamed Vedea is an experimental language for creating interactive infographics and data visualizations. The language initially targets non-programmers, however, Vedea also provides sophisticated features such as LINQ for experienced developers as Martin demonstrates in his post.

Vedea was demoed the first time at PDC09 to the public. The demo shown there visualizes global IP traffic monitored during a 24h time span. The data is organized in a standard CSV file and contains source, destination, geographical coordinates, IP numbers and the time and some more statistical information.

The data itself is rather unspectacular and the most useful for some statistical analysis. However, with Vedea is is relatively easy to visualize the data in a handsome manner. Before you go on, please be aware that the language is still under development and the given example just represents the state of development at the time of PDC09.

```img = LoadImage("world.png");

for (i=0; i<len; i=i+1) {
b = Noise(i*255);
Stroke(20, 0, 0, b);

x1 = csv.SourceLon[i];
y1 = cvs.SourceLat[i];
x2 = cvs.DestLon[i];
y2 = csv.DestLat[i];
c = new Vedea.Curve(x1-10, y1-b, x1, y1, x2, y2, x2, y2-b);
}```

The fist two lines of code are used to load background image. after loading, the image is added to the current scene. The Scene object describes the standard canvas, the programmer draws on. This demonstrates the object oriented capabilities of Vedea. As Vedea is a dynamic language which is based on the DLR, there is no need to declare the type of the image object.

At the next lines we find a simple for-loop that iterates through all lines of the source data. The data file has been loaded similar to the image beforehand into an data file called csv and len is a value of roughly 100.000. So yes, we draw an manage about 100.000 primitives here. Most of the language features in Vedea can be used in a imperative or declarative way. Noise for example is a built-in language features that returns a random number (between 0.0 an 1.0) based on a one-dimensional Perlin noise function. This function is used to create a smooth color gradient with a alpha channel of 20 for our visualization.

Stroke is used in a declarative way to set the stroke color for all primitives drawn afterwards. The next four lines simply read the x- and y-coordinates Finally, a curve is drawn and added to the current scene. The fist and the last point specified are control points that determine the curve’s flexure while the second and third point describe the actual start and endpoint of the curve. Of course the Curve primitive can be used in an imperative or declarative style (or both) as well:

```Stroke(255, 0, 0);
Scene.Add(new Vedea.Curve(5, 26, 5, 26, 73, 24, 73, 61));
Stroke(0, 0, 0);
Curve(5, 26, 73, 24, 73, 61, 15, 65);
Stroke(255, 0, 0);
Curve(73, 24, 73, 61, 15, 65, 15, 65);```

In the original example we use the previously generated random value b also to vary the curves control points corresponding with the color. Once we run (remember, we are based on the DLR and thus we don’t compile) the example, we finally get our visualization.

In his post Nick Eaton stated that

Users of Vedea obviously need to have some background in coding.

This is not necessarily true as the example above should show. Using the declarative style of the language it is relatively easy to create appealing visualizations with only little knowledge about programming structures and technologies such as DirectX, GDI+ or WPF. As seen in the example above its within the nature of Vedea to forgive various mistakes which makes it easy to use from the very beginning.

Vedea is a research project of the Computational Science Laboratory of Microsoft Research in Cambridge, UK. The project and still under development. The example shown here represents the state of the project at the time of PDC09 as it was presented to the public. As this is an ongoing project the language might evolve, new features will be developed and others might become obsolete.

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## Introducing Microsoft Computational Science Studio

One disadvantage working for Microsoft Research is that you cannot talk about your current work all the time. For two years now we were working on two exiting projects. However, there was not a lot to talk about since now…

The very first time we have shown Microsoft Computational Science Studio was at TechFest 2008 at that time codenamed ‘Discovery’. There we showed it to the public the first time to visualize, simulate and predict future development of global forest growth based on a novel scientific model developed by scientist Drew Purves.

At the Advanced Developers Conference Keynote in Bonn, Germany I already talked about the unique collaboration within the Computational Science Laboratory within Microsoft Research in Cambridge, UK. A unique setup of brilliant scientists from various fields and a group of great software engineers work together creating next-generation software solutions to address future challenges in computational science. The team includes Martin Calsyn (Architect), Alexander Brändle (Head of Technology), Drew Purves (Scientist), Matthew Smith (Post-Doctoral Researcher), Stephen Emmott (Head of Computational Science Laboratory within Microsoft Research and Professor of Computational Science at Oxford University), Vassily Lyutsarev (Manager Scientific Computing), Benjamin Schröter (Software Engineer), Eric Hellmich (Systems Engineer), Shawn Barrett (Quality Assurance and Software Engineer) and myself.

As part of his College Tour, Craig Mundie presented our work, the Microsoft Computational Science Studio (MSCSS), to the public at University of Washington, University of Illinois, Harvard University and Cornell University. Among he said about MSCSS:

Now, the way that this is actually built is it’s a bit like having Visual Studio, which is a toolkit for people writing programs — these guys call this the Science Studio, because the goal is to allow people not to write programs in the traditional sense but to compose large scale models together for scientific purposes.

Indeed, he showed the large scale model we worked no the weeks before with our scientists:

The whole talk at University of Washington is available as webcast from UWTV. Further articles are available from CNET, TechFlash and The Seattle Times where later says

A guy who is a climate scientist or a tree biologist can make a direct contribution without having to understand everything else or becoming a computer wizard in the process,” Mundie said. “I tell people this is sort of doing for scientists and policymakers what Excel did for the average business guy 20 years ago

Further posts on MSCSS and our second project called Vedea, being currently demoed at PDC09, will follow soon. Until then you might want to read an overview of MSCSS at Martin’s blog.

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## UI Guidelines

I already had some thoughts on designing “good” user interfaces before even if you are not a designer. Now, I just found the SSW Rules to Better Interfaces with a couple of interesting statements also to think about.

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## World Wind 1.4

Currently I have started a new project and I am looking into some geo-related projects. NASA World Wind 1.4 is now available. World wind makes massive usage of .NET and DirectX and runs quite smooth under windows Vista. The data is also provided by Microsoft Research TerraServer-USA, hosting aerial photography and topographic maps.

Unfortunately, TerraServer provides only United States Geologically Survey (USGGS) data. Better images for local European location can be accessed using the Virtual Earth plug-in, available from here. A video of Virtual Earth in World wind can be found here. Unfortunately, the plug-in does not seem to work with the latest World Wind version.

[Update 24/02/2007]

With the updated plug-in for version 1.4 available also the Virtual Earth data can be displayed.

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## Star Trek Artwork

While checking some links I have bookmarked before, I found this one with great Star Trek artwork of bridges from Star Trek vessels.