Twist N’ Race is an interactive two-player game created by Jorge A. Brake, Alexandra Coym, and Vitor Freire. In Twist N’ Race you can show off your finger flexing skills by racing your opponent across the digital board game. Teamwork + competition go hand-in-hand as players meet in a bitter fight for finger supremacy.
The game mechanics were created with Processing, an open-source programming language & environment.
The multi-touch interaction was built with the TUIO library for Processing. This library provides a framework for tracking objects on an interactive surface, such as the iPad’s screen.
Twist N' Race debuted at ITP's 2012 Winter Show. For more information on this project and how it was created, please visit the Twist N' Race site.
Tweets Across Borders is an interactive exploration of conversations that are happening on Twitter. Combining applications of computational media and physical computing, this project sheds light on the perceptions people have of Mexico, as expressed via Tweets.
Focusing on Twitter as a source for open & seamless communication, Tweets Across Borders draws on conversations happening on Twitter that demonstrate negative perceptions of Mexico. This project was born from my interest in exploring these conversations myself, as a Peruvian who grew up in Mexico and has been living in the United States for 6 years.
Why focus on negative perceptions? By putting these Tweets front and center, I hope to inspire an exploration of everything else that Mexico has to offer, aside from what is commonly portrayed in the media: violence, the war on drugs, corruption, and illegal immigrants.
This project plays with the concept of building a wall that consists purely of negative perceptions. This wall represents the infamous border that separates Mexico and the United States. It’s a porous border that allows for great economic & cultural exchange, yet alters the perceptions that travel through it.
The more blocks that are stacked, the higher the wall becomes, and more negative Tweets about Mexico appear on the screen. For more information on this project and how it was created, please visit my ITP blog.
The Narblers are an algorithmically composed, linear actuator-driven percussion orchestra, created by Jorge A. Brake, David Lobser, and Norah Solorzano. Each robot is powered by two solenoids and an algorithm that generates a new beat every time the control button is pushed.
All three robots are powered by one Arduino, which also controls the tempo and the mute state of each robot. The slider allows the user to control the tempo, and the red buttons allow the user to turn each robot's mute state on/off.
The Narblers sit on a laser-cut box, which houses the Arduino, circuits, buttons, and slider. The robots can play a variety of instruments, from shakers to drums and bells.
Users are encouraged to play with the tempo, mute states, and randomized beats until they find a melody they like!
Happy Tweets, Sad Tweets provides a real-time glimpse into the emotions of Twitter users across the world. By clicking on the happy face or sad face emoticons, a randomly selected Tweet will be displayed, representing either a happy Tweet or a sad Tweet. Feel free to explore these emotions by clicking here.
Happy Tweets, Sad Tweets was created using HTML, CSS, and JavaScript/jQuery. This project was initially created in Processing, using the Twitter4J library to search for Tweets. In this online version, Tweets with :) or :( are searched for using Twitter's Search API through a JSON callback function.
For more information on the original project, please click here. You can also find the code for this project on GitHub.
