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PostHistory

PostHistory is one in a series of projects that explore the notion of history in computer applications and online environments. By developing time-based visualizations of digital activities, we hope to raise questions such as: what is digital memory? How can we understand, interact with and, more importantly, share our digital history? The visualizations in PostHistory mainly fall into two main categories: - email landscape - personal email social network Because we are interested in looking at changes over time, the main visual metaphor is the calendar. The social network visualizations are also animated over time. - Fernanda Viegas
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Sensible Data

“Sensible Data” is an interactive installation consisting of three machines that invite to create a passport from your personal data. Take a picture of yourself and a machine will draw your portrait. Send an email and an algorithm will judge your mood, age, gender and beauty. By pressing a dubious button, you can get a nice confirmation stamp. This project aims to explore the issues of ‘confidence’ surrounding data collection systems: fun in exchange for personal data.After having completed the playful process, the user receives also an email from the installation, sending him all the data of a previous user (fingerprint, photo and email) that matches based on an absurd criteria (The amount of lines of the portrait). The three machines are modified versions of Piccolo CNC, an open-source drawing machine based on Arduino. A Raspberry Pi serves as the brain of the installation, running a python script for each step of the process. Each script listens to the desired input and sends the plotting commands to the needed machine. Step 1, the portrait: The photo taken with the iPad is automatically synchronized to the Pi using Dropbox. A python script transforms the photo to a line drawing using opencv and send the lines to the drawing machine. Step 2, analyzing the face: When receiving an email, the Pi sends the previously taken image to an online service called Rekognition. Their machine learning algorithm detects the beauty in percent, mood, age and gender of a person. This information is then stored in a database and stamped on the passport letter by letter by the laser-cut stamp-wheel. (All other mechanical parts and stamps are laser-cut as well) Step 3, validation stamp: The dubious button is actually a fingerprint scanner. The validation stamp is granted after the fingerprint has been scanned. After some seconds, an email with all the data of a matching person is sent to the user. If you are interested in the making process, check out this site containing images and videos. – Martin Hertig
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Spectro Audio Igo (S.A.I.)

Have you ever wondered what your extra curricular day might look like? S.A.I. provides an overview of a user's web browsing, music listening, and game playing. Tooltips and Song relations: visualizes daily activities alongside music listening data. iGOvis: graphs the moves played in a board game. SpectroVis: visualizes a webpage color from a user's browsing history. S.I.A.: a combination of Tooltips, iGOvis, and SpectroVis to compare these daily activities.
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Comparing Website Analytics with Gaming and Travel Data

As part of a CPSC 583 course at the University of Calgary, Sam Lu created three distinct visualizations to keep track of personal data, then later combined these visualizations as a whole. The first project visualizes search engine referrals to Sam's personal website. The second project graph EA NHL 12 hockey stats such as the time on ice, number of slap shots taken, and the points scored thought the game. Thirdly, Sam created a Calgary Transit commute log to keep track of where and when transit travel occurred. To tie these projects together, Sam created spheres to represent how the temporal data overlapped. He then created icons to represent the NHL hockey stats. Each new visualization was then morphed together to create a final interface to compare each data set side-by-side.
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Personal Budget, Travel, and Word Visualization

As part of a CPSC 583 course at the University of Calgary, Marcial Russo created three distinct visualizations to keep track of personal data, then later combined these visualizations as a whole. The first visualization analyses budget data and compares different spending categories. The second visualization compares travel times, based on various factors. The third visualization displays words used in various university classes.
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The Person I Am

As part of a CPSC 583 course at the University of Calgary, Javier López-Montenegro Ramil created three distinct visualizations to keep track of personal data, then later created an interface to interlock these visualizations together. Javier asked himself three questions, and created visualizations for each question. We are what we eat and what we do. The first visualization logs calorie intake, class time, eating trends, and sleeping patterns. The second visualization provides insight into how late or early Javier is to class based on the weather, and shows Javier's travel speed. Thirdly, Javier tracks where his Facebook contacts are located around the globe. In the final visualization combines all three visualizations to provide a birds eye view of the answers to the above three questions.
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LifeTraces

As part of a CPSC 583 course at the University of Calgary, David Ledo created three distinct visualizations to keep track of personal data, then later combined these visualizations as a whole. Timeline: visualizes daily activities as in a timeline, colourized based on the type of activity taking place. TubeMap: visualizes locations logged throughout the day, the connection between these locations based on where you are going to and coming from, and the time spent at a particular place. MessageWaves: visualizes a messages that have been sent and received from various sources organized by contacts. In this visualization is is possible to see how many characters have been sent at a time, and makes it easy to compare messaging patterns between contacts LifeTraces: a combination of Timeline, TubeMap, and MessageWaves to provide a birds eye view of daily activities.
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VSýnthesis

As part of a CPSC 583 course at the University of Calgary, Bon Adriel Aceñero created three distinct visualizations to keep track of personal data, then later combined these visualizations as a whole. Activity River: visualizes daily activities as a stream of colours in a timeline. D'Ripples: visualizes looking directions per hour, and images of what was in that direction that hour. A Well of Places: visualizes location data and the amount of time spent in that location. Hours: a combination of Activity River, D'Ripples, and A Well of Places to provide a birds eye view of daily activities.
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Visits

With visits you can browse your location histories and explore your trips and travels. Our unique map timeline visualization shows the places you have visited and how long you have stayed there. Add photos from Flickr to your visits and share your journey with your family and friends! – visits
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