Benchmarking: Elected leaders are making the world less democratic

A relatively recent Bloomberg article presents a paradoxical statement: We’re having more elections that ever before, but our world isn’t necessarily becoming more democratic. In fact, it’s becoming less.

As part of our benchmarking exercise, we delved deeper into the many insightful visualizations in the article. (To read the full article for yourself, follow the link here.)

Given that Bloomberg is a news agency based in the UK, the likely intended audience for the article is a Western one. Even though politics and heavier subject matter (such as the state of our democratic world) are topics that tend to skew older, 48% of online traffic to Bloomberg actually comes from those under the age of 34. Therefore, it’s likely that this article was meant for a both a diverse and wide age range.

The purpose of the visualizations themselves in the article is to call attention to these recently alarming trends, motivating readers to think critically about elections and be active in them. Through contrasting color tones (blue and red), the article makes a clear distinction “more democratic” and “less democratic” categories, helping aid the digestion of otherwise rather dense data sourced from the V-Dem Liberal Democracy index. By continuously reaffirming these distinctions, much to the surprise of the reader, the message becomes apparent: we must not make blanket assumptions that our level of democracy will always remain the same without effort and action.

Between the different visualizations, the consistency in colors works well in communicating this message. Similarly, there is only one parameter through which to evaluate the visual data, which makes it easy to jump from one visualization to the next without spending too much time understanding what is its individual message. The very first visualization in the article (pictured first in this post) also included a dynamic element to where when a user scrolls down, small messages flash onto the screen to highlight specific elements of the visualized data. This successfully helps feed some summarized textual input to the reader as well even if he or she does not fully read the article itself. 

Nevertheless, some aspects of the visualizations were not as successful. When quickly going through the article, it was not always clear what the difference was between each of the visualizations, especially given that the overall message stayed generally quite consistent. Of course, through a more diligent reading, the differences become more apparent, but this same level of effort is not always guaranteed with modern-day audiences online. Similarly, the icons that were meant to encourage interaction were often personally confusing upon first glance, and it wasn’t always clear what one needed to do in order to receive more information from the visualization.

Posted by Jenna Ahonen

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Benchmarking: Democracy 3

Benchmarking what we’d do, I came across Democracy 3. It’s a semi-veteran government simulation game, published already in 2005 by Positech Games.

The player takes either the role of president or prime minister of a democratic government, and rules his country. He’s in charge of (almost?) an innumerable amount of things: from the big picture, including budget and tax policy, to very detailed ‘yes-no’ decisions on specific questions.

Also, arbitrary challenges take place, e.g. criminality, demonstrations and environmental problems.

The game requires a decent understanding of the government – thus, the target audience may be people of age +15, who are somehow into somewhat analytic and strategic, semi-realistic games.

The game also yielded a spin-off version in 2016, Democracy 3: Africa, with its own twist: when you’re ruling your country, either you’re to solve the difficult problems (such as forced marriages, poverty, children’s malnutrition), or to go deeper into fierce dictatorship.

https://cdn.gamer-network.net/2013/usgamer/Democracy-3-Screenshot-02.jpg

This is democracy gamified  – it concretizes that the decisions they’re making there aren’t light nor easy to make. Maybe there’s some kind of educational aspect to the game, too; assuming you’re a US citizen or that at least you know their governmental system quite well.

There are some controversial things in the game, regarding real-life: as an example, it’s possibile to adjust death penalty, legalize drugs etc.

Posted by maija

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Examples of Democracy Visualization

Example 1:

Global Democracy is in Decline

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Globally, democracy is in retreat.⁠ ⁠ In 2019, The Economist Intelligence Unit’s Democracy Index fell to the lowest average since it began in 2006.⁠ ⁠ Just 22 out of 167 countries attained “full democracy” classification. ⁠ ⁠ More than 2.7bn people live in an authoritarian regime, the bottom tier of the Democracy Index. ⁠ ⁠ Democracy scores for China, Malta and Hong Kong deteriorated, and India, the world’s biggest democracy, dropped ten places to 51st.⁠ ⁠ Still, some silver linings can be detected among the clouds.⁠ ⁠ Which countries have moved up the democracy ranking? ⁠ ⁠ Click the link in our bio to find out, and to read why global democracy has had another bad year.

A post shared by The Economist (@theeconomist) on

What is this?

-Global democracy visualization map

Adudience?

-Social media user

Purpose?

-In 2019, The Economist Intelligence Unit’s Democracy Index fell to the lowest average since it began in 2006.⁠ This map was to bring it to people’s attention that global democracy has been declining.

Message?

-Shows how different democracy index are distributed in different countries of the world

What works?

-It gives people a sense how different level of democracy is distributed around the world, in a quick and minimal way

What not? Why?

-It doesn’t show how is global democracy is in “decline” as it states in the title. Becauses there is now comparison information from the past years. Also it didn’t show how the “democracy index” is calculated.

Posted by Qi Chen

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Restructuring the topic

After a week of basic research into the areas of Lights and Lighting that have interested each one of us in the group:

Ameya: Types of lighting models and illumination techniques computer graphics

Maija: Mathematical interpretation of computer graphics lighting

Kiko: Material Design and trends in GUI Lighting

Jenna: Effects of lighting on the perception of interfaces and content

We will present 3 minutes each followed by

Posted by chikraa1@aalto.fi

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Lighting concepts in Computer Graphics

My research into the lighting of computer graphics leads me to explore certain concepts and considerations that determine what to calculate and what to leave out, based on the viewing requirements. Advances in computation have now made it possible to create accurate simulations of real-world lighting today.

I will introduce some of the concepts in this post.

Types of Light Sources

Point Light: Light emanating from a source in all directions, with the intensity of light decreases as a function of space. Eg: Light bulb

Directional Light: Uniform lighting from one direction, such as sunlight. The source is modelled to be infinitely far away from the object being illuminated, and the intensity of the light stays constant (the change or decrease in intensity as a function of space is negligible) Eg: Sunlight

SpotLight: A directional cone of light, with the intensity being brightest in the central axis of the cone. Eg: Flashlight

Ambient light: No source is modelled. Ambient light is uniformly distributed throughout the scene and is independent of the direction, intensity or distance of the object being illuminated.

A few other types of light are volume lights and area lights, but these are just particular use-cases of the four types of light sources.

Lighting interactions

Diffuse Lighting: This models how light interacts with the surface of the object, creating lighter and darker pixels to simulate dark and light parts. This simulates the material and texture of the object.

Ambient Lighting: Makes the shape of the object visible even when no light source is modelled. It gives a flat, 2-dimensional representation of the object for a given perspective.

Specular Lighting: This models the highlights and shininess of the object, depicting smoothness and metallicity or reflexivity of the object.

Illumination Models

Local Illumination: Light interactions are calculated only with individual objects in the scene separately. This gives a more unrealistic or simulated lighting effect, but it is much faster and takes comparatively lesser computational power.

Global illumination: Light interactions are calculated considering all objects in the scene, including secondary interactions based on reflection and refraction of light with other objects. This gives a more realistic effect but at the cost of higher computational power.

One smart way to reduce the number of calculations through the scene is to go backwards from the viewers perspective to the light source, which ensures that the only interactions calculated are the ones that are relevant to the viewer’s perspective.

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Light and Shadows in Material Design System

The Material Design Environment

In Google’s Material Design System, UIs are displayed in an environment that is a metaphor of the physical world. It is inspired by the physical world and its textures, including how they reflect light and cast shadows.

In the physical world, objects can be stacked or attached to one another, but cannot pass through each other. They cast shadows and reflect light.

Material Design reflects these qualities in how surfaces are displayed and move across the Material UI. Surfaces, and how they move in three dimensions (3D), are communicated in ways that resemble how they move in the physical world, using light, surfaces, and cast shadows.

The goal of Material Design is to create hierarchy, meaning, and focus that immerse viewers in the experience.

Light in Material Design

In the Material Design environment, virtual lights illuminate the UI. Key lights create sharper, directional shadows, called key shadows. Ambient light appears from all angles to create diffused, soft shadows, called ambient shadows.

Shadow cast by a key light
Shadow cast by ambient light
Combined shadow from key and ambient lights
Elements use shadows on dark surfaces, even if they are less visible.

 

Light sources

Shadows in the Material environment are cast by a key light and ambient light. In Android and iOS development, shadows occur when light sources are blocked by Material surfaces at various positions along the z-axis. On the web, shadows are depicted by manipulating the y-axis only.

In Material environment, you should always combined shadow from key and ambient lights.

Shadows in Material Design

Shadows provide cues about depth, direction of movement, and surface edges. A surface’s shadow is determined by its elevation and relationship to other surfaces.

Material surfaces at different elevations cast shadows. As you can see from video, the smaller the elevation value, the more solid the shadow gets.

Shadows show the elevation of different Material surfaces.

Usage of Shadows

Because shadows express the degree of elevation between surfaces, they must be used consistently throughout your product.

Elevation is depicted by consistent use of shadow.
Shadow size reflects elevation. Surfaces at higher elevations have larger shadows, while those at lower elevations have smaller shadows.

Posted by Qi Chen

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Light & Rendering Maths

Rendering equations are a mathematical representation for an amount of light emitting from a point along a specific viewing direction. (That is a fancy way of saying how a light-beam moves in space and bumps from surfaces.)

The equations root to light pyhsics in a straight-forward manner: due to energy conservation, no ‘light is lost’ – thus, calculating its distribution is fairly (?) simple.

Bidirectional reflectance distribution functions (BRDF) define how light is reflected at an opaque – that is, ‘normal’, tangible, not-all-absorbing – surface. That is, how light behaves when confronting an obstacle.

Image result for brdf image

As the example from  Coding Labs  suggests, a way of modelling the behaviour of light is making a distinction between diffuse reflection and specular reflection. “The idea is that the material we are simulating reflects a certain amount of light in all directions and another amount in a specular way (like a mirror).

However, re-constructing these phenomena of light that are “obvious” in the real world, is  is a tardy process in the world of 3D graphics. Namely, simulated lights do not automatically cast shadows. And, even if an object itself may be shiny and nicely lit, it likely won’t reflect the scene around it. Reflections have to be made either manually or with computer assistance.

Image result for minecraft water

 

As an example, the sky is blue and so is the water in Minecraft, but it doesn’t reflect land objects. Though, this is likely done on purpose – no reflection is much less rendering, obviously.

Taking a swing in the maths behind 3D graphs leads immediately to matrices – as those are the way of representing an object moving from point A to point B in a linear way.

Image result for matrix transformation 3d graphics

This video (~ 10 minutes) opens the foundational mathematics thoroughly yet very visually.  If you’d like the fast-lane, this is a compact representation.

 

 

 

We’ll finish with this sweet-bite: a 12-minute video covering many of the key topics of the 3D game industry domain, e.g. scanline-rendering, anti-aliasing, rendering algotirhms – and shading. I enojoyed & learned a lot!

Posted by maija

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First post

This is our first post for the Dynamic Visualization course. Our chosen topic (and hence the blog name) is Light and Lighting.

Our group members are Maija, Kiko, Ameya and Jenna.

Posted by chikraa1@aalto.fi

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