Moodbox is a musical device created by a group of students (Iskra Uscumlic, Cyrus Kamath, Luca Mustacchi, Dario Loerke) to explore how we might set the mood in a studio space through music. They created it using Genuino Uno during the Interaction Design Programme at CIID with the help of Massimo Banzi and Dario Buzzini.

Moodbox enables you to set the perfect ambience and trigger different emotions:

Taking inspiration from the classic bar jukebox and its ability to influence the mood, we recognized that music and the atmosphere created by it are inextricably linked. When selecting a song to play in a social setting there is always a sense of negotiation involved. The person choosing has to consider the environment, the people around them, the current mood and that they would like to create.

With this in mind we set out to explore new opportunities for interaction in the communal space, using the environment of the studio as the setting.

As you can see in the video above, you can adjust the vibe of any space using four scales of emotions – from love to kill, serious to fun, chill to hype and dreamy to focus:

Emotions may be combined and fine-tuned with retro-style rotary knobs to dial-in feelings and get the perfect song choice. Like a jukebox, songs are queued once the selection is made. To provide visual feedback, lights also respond to the changes in mood, enhancing the overall influence on the space.

Moodbox connects to your iTunes account, with the rotary knobs sending information via a Genuino Uno and JavaScript to sort through a playlist. Our custom emotional algorithm then picks the right song and triggers mood lighting depending on the selection.

Every year the students of the Copenhagen Institute of Interaction Design (CIID) attend the Physical Computing class as part of their curriculum.

Having a small delegation of the Arduino team teaching this class has become quite a ritual. This past March Ubi De Feo, Alice Pintus, and Lorenzo Romagnoli runned the two-weeks-long intensive class.

Teaching at CIID is great experience, since you are surrounded by incredibly motivated and curious students, that are doing everything possible to design amazing projects and prototypes.

The topic of this year was prototyping interactive installations for a Science Center that would explain in a playful and engaging way how a technology works. For most of the students this was the first experience with physical computing, but even in such short time they were able to build eight different prototypes. The projects explain in an interactive way the science behind computer viruses, allergies, video compression, machine learning, laser printing, digital music synthesis, binary numbers and neuroprosthetic.

In Explaining laser printing Victoria Hammel, Chelsey Wickmark, Ciaràn Duffy, Feild Craddock demonstrate how the laser printer works. By using 16 servomotors connected to an Arduino UNO to move a matrix of magnets they were able to attract iron filings and draw letters on paper.

In Troyan 77 Karan Chaitanya Mudgal, Liliana Lambriev, Gunes Kantaroglu, Dhruv Saxena visualize the effects of a Trojan Virus harming your computer. Connecting Processing to Arduino they were able to create an overlay projection on top of the maze representative of the effect of the viruses on a computer.

Sound Blocks by John Ferreira, Alejandra Molina and Andreas Refsgaard is an musical instrument that explain how to compose sounds combining multiple soundwaves. The prototype was built using Arduino as a midi controller for Ableton.

The Sensing Umbrella is the second project I’m featuring on this blog (see the first), coming out of the class at  the Copenhagen Institute of Interaction Design called Connected Objects, with Massimo Banzi and Giorgio Olivero. 

The project created by a team of students Akarsh Sanghi, Saurabh Datta and Simon Herzog is a platform to gather, display, and share hyperlocal air pollution data:

Each umbrella serves as a node for measuring CO and NO2 pollution levels and can provide exceptionally granular data to pollution databases and for scientific analysis. Simultaneously, the light visualisations inside the umbrella respond to pollution levels in real time and spread awareness of air quality in the city for its inhabitants. The umbrella uses open hardware and software to gather and interpret data through a built-in sensor array, displays CO and NO2 pollution locally in two modes, and logs the timestamped and geolocated data to the cloud for analysis.

Check the video to watch the team introducing the project: