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README.md

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- [About](#About)
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- [About the data](#About-the-data)
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- [Instructions](#Instructions)
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- [Running the application](#Running-the-application)
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- [Zoom-to-player instructions](#Zoom-to-player instructions)
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- [Control panel options](#Control panel options)
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- [Technology](#Technology)
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- [Display requirements](#Display-requirements)
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- [Credits](#Credits)
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Tally Tracker Explorer on [Itch.io](https://itch.io/)
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## About the data
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The anonymized data included in this project comes from player activity on [Tally Saves the Internet](https://tallysavestheinternet.com) as a way to visualize how people are browsing the internet and being placed into the marketing categories by web trackers.
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Each player is represented by their avatar floating through the sky with the following:
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- Product monsters;
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- Data trails (color from IAB Taxonomy);
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- Player events, which include clicks, battles and badges from the game;
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- Time span selected; and,
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- A zoomed-in view of each player and some data (km scrolled and trackers blocked).
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Don't know what a product monster is? See https://tallysavestheinternet.com/about
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## Instructions
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Open the application and it will start automatically. Pressing the following keys will open / close various panels:
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- **C**ontrol panel - Settings and controls
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- **L**egend panel - A reference for the marketing taxonomy
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- **T**imeline panel - Shows the time of the event being played and size of the history and buffer
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- **F**eed panel - For debugging only (adds high performance overhead)
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- **ESC** / **Q**uit - Exit the application
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## About the data
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The anonymized data included in this project comes from player activity on [Tally Saves the Internet](https://tallysavestheinternet.com) as a way to visualize how people are browsing the internet and being placed into the marketing categories by web trackers.
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Each player is represented by their avatar floating through the sky with the following:
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- Product monsters;
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- Data trails (color from IAB Taxonomy);
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- Player events, which include clicks, battles and badges from the game;
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- Time span selected; and,
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- A zoomed-in view of each player and some data (km scrolled and trackers blocked).
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Don't know what a product monster is? See https://tallysavestheinternet.com/about
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## Techrider
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## Technology
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See the Devices / Testing section of [our Process page on GitHub](PROCESS.md)
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## Technology
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### How it was built
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- Visualization - Unity 2020.1.2f, Universal Render Pipeline (URP)
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- Game API - Node/Express
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- [More about our process](PROCESS.md)
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### Display requirements
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#### Suggested equipment
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- Powerful computer (FAAAASST)
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- High-quality display
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- Fast internet connection
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- Stereo speakers
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- Control device like a wireless gamepad or keyboard
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#### Responsive design
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The visualization can adapt to any screen size. The project has been tested on the following devices:
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device | OS | resolution | aspect ratio | specs | notes
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--- | --- | --- | --- | --- | ---
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Desktop | Mac | 1920x1080 | 16:9 | --- | ---
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Desktop | Windows | 1920x1080 | 16:9 | --- | ---
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NCSU Immersion Theater | Windows 10 Pro 64 | 6816 x 2240 | 3.04:1 | Dell Precision T7910 ![specs](_Documentation/icons/info-15w.png "Dell Precision Tower 7910, 2x Intel Xeon CPU E5-2640 v4 @ 2.40GHz (3.4GHz Turbo), 128 Gb RAM, 2x Nvidia P5000 video cards2 x512 Gb SSD Hd") | ---
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NCSU Game Lab | Windows 10 Pro 64 | 4800 x 1080 | 4.44:1 | Dell Precision T7910 ![specs](_Documentation/icons/info-15w.png "Dell Precision T7910, Dual Intel Xeon Processor E5-2680 v4 14C, 2.4GHz, 3.3GHz Turbo, 128 Gb RAM, 2x Nvidia P5000 video card, 512 Gb SSD Hd (sys), 1 TB SATA Hd") | ---
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NCSU Visualization Studio | Windows | 27053 x 2160 | 12.52:1 | --- | ---
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iPad | iOS | 1536 x 2048 | 1.33 | iPad 3&4, Air 1&2, Mini 2&3 | ---
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## Credits
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Created by [Sneakaway Studio](https://sneakaway.studio) (Joelle Dietrick and Owen Mundy) during an eight-week artist residency funded by the [Andrew Mellon Foundation](https://mellon.org/) through the [Immersive Scholar](https://www.immersivescholar.org/) program with the [NC State University Libraries](https://www.lib.ncsu.edu/).
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Many thanks to everyone involved with the October 2nd, 2020 [Immersive Scholar Symposium: Data, Surveillance, and Privacy](https://www.lib.ncsu.edu/events/immersive-scholar-symposium-data-surveillance-and-privacy), hosted by NC State, especially Nick Merrill, Lauren Klein, Micah Vandegrift, Hannah Rainey, Ashley Evans Bandy, and Claire Cahoon.
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## Contact
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For general questions or troubleshooting questions contact Walt Gurley.

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