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Pepijn Fens
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Throughout the day people often experience a series of different contexts; one wakes up at home, goes to work, maybe go for sports and relaxes. Within these contexts different information flows can be important to the user. A smartphone typically shows all information all the time, making it difficult to distinguish valuable information from the “junk”.
Qualica is a conceptual wearable device. Qualica is intelligent; it is able to detect the user’s context by using location information. Additionally, it has access to multiple data sources by integrating with popular third party services; one’s activities (running, cycling), social media, health data and environmental information (e.g. the weather). The contextual information is used to decide which of these datasets to display. The user can configure the device via the app, connecting datasets to various contexts. 
Qualica relies on a minimalistic display to communicate with the user, making information quick and glanceable. For more in-depth information behind Qualica’s display, the accompanying app can be used.
Qualica is a graduation project at the department of Industrial Design, Eindhoven University of Technology
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I wrote a small analysis on how #spotify works with playlists (from a ux point of view), especially when you have many. 

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I wrote a small piece on my blog about how to use blender as tool for data visualisation. Check it out if you're interested!

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Has anyone here already taken a look at the ShapeJS tool by Shapeways? It is pretty powerful, so I wrote a quick introduction about it.

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Here’s a  simple code sample to create a streamgraph in D3.js. I found that there were not enough samples around showing how to make this graph and what kind of data is required.

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I've created a script to add a simple translation sidebar to google documents. Let me know if you find it useful!

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I've created a script to add a simple translation sidebar to google documents. Let me know if you find it useful!
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