Category Archives: Dan O’Sullivan

Benedetta Piantella Simeonidis, Dan O'Sullivan, Introduction to Computational Media, Introduction to Physical Computing, Jiashan Wu, Projects

Snoopi: the data sniffing dog

Jiashan Wu

Snoopi the dog sniffs out information and digital footprints from devices/people around him and visualizes them in real time. <br />

http://itp.fromjia.com/?p=342

Description

Culturally we are at a place where the ramifications of having data shouted out over wireless network has largely remained unseen. With Snoopi I want to start the conversation surrounding simple, benevolent acts and data collection and profiling. The question is: why does this matter? Should we care that we are leaking breadcrumbs of data from our intimate devices? Norms of our attitude towards data and data collection is still being formed. I hope to bring up questions and awareness about this topic to more people.

Dressed in a hoodie equipped with a Raspberry Pi running Surya's NSHeyy sniffer program, Snoopi the dog sniffs out information from surrounding devices. Information includes the origin of devices, their wifi router history (which allows tracking a user's location history), unique mac addresses, and their relative distance to Snoopi. When Snoopi's hoodie is on, an LCD screen lights up, displaying sniffed wifi history information.

On a computer nearby, sniffed data is visualized in real time. This visualization allows viewers to look at individual device information, see connections between devices (whether they have been connected to the same wifi network), and aggregate information about the devices/people in the area.

For the show, Snoopi can be substituted by a stuffed animal on a roomba or another autonomous vehicle. Depending on where Snoopi is, the visualization will update in real time to give viewers an idea of the type of people in the room as well as information about individuals in the room.

Classes

Introduction to Computational Media, Introduction to Physical Computing

Dan O'Sullivan, Gabriel Andrade, Introduction to Computational Media, Projects

Deformed Cube

Gabriel Andrade

processing made 3D array of cubes that react with music and mouse

http://http://www.gandradep.com/?p=241

Description

The project consist in an array of cubes that each 2 seconds add a side of the cube till its 6 sides are complete, while rotating on his place, you can zoom to have a better look at the cubes with the mouse, its a really nice piece to watch because of it continuous movement, like watching fire.
The piece also reacts to the beat of any song that is uploaded with the program, to activate the song the user must click on the mouse. If the mouse is clicked again the song is stopped and rewind waiting for the next click to sound again.

Classes

Introduction to Computational Media

Dan O'Sullivan, Introduction to Computational Media, Magdalena Kovarik, Projects

PicassoMe

Magdalena Kovarik

PicassoMe is a fun as well as obscure installation swapping peoples eyes and mouths in a live video stream – cubist Picasso like faces arise on the screen and can get captured immediately.

http://www.magdalenakovarik-itp.com/?p=416

Description

This in an application for a computers camera as well as for mobile devices. A Processing sketch is tracking the eyes and mouths of the people in front of the camera and swaps them constantly in a random fashion. On the video screen cubistic defragmented faces arise. Did you ever want to see through your boyfriends eyes or your mothers mouth? The more people are in front of the camera the more interesting are the group portraits. By hitting a key the image get saved. For the Winter Show I imagine an installation directly linked with a printer. The visitors could immediately print her favorite Picasso like picture for taking it away as an original souvenir of the Winter Show 2014.

Classes

Introduction to Computational Media

Dan O'Sullivan, Gregoire Housset, Introduction to Computational Media, Introduction to Physical Computing, Projects, Tom Igoe

Well Tap

Gregoire Housset

Well Tap is a system of networked sensors that allow people to quantify their water consumption on a daily and weekly basis.

http://www.madebygreg.co/well-tap-project-update-12-3/

Description

Well Tap is a network of sensors that attach to a household’s various water outputs (i.e. kitchen faucet, bathroom faucet, shower ect) and gives users a snapshot of their daily and weekly water usage. Each sensor is attached to a console that displays how much water they consume in each use and sends data wirelessly to dweet.io after each use. The Well Tap Dashboard then parses the dweet JSON data to visualize it in Processing.

I created Well Tap because water waste is a big problem but it’s a hard one to wrap your head around for those that don’t live in affected areas. It’s very hard to know what your actual footprint is and that actually creates a lack of accountably to oneself and the greater community. By providing people with clear data on their daily and weekly usage, and comparing that data to average numbers for the various household sizes, users will immediately get some context on their water usage. The goal is not to make anyone feel bad by pointing fingers, but simply to make people more conscious as I believe we are inherently good. I hope something like Well Tap could influence people to make small efforts, and in turn, create systemic change.

Well Tap is the first step in quantifying the intangible aspects of a person’s ecological footprint. Everyone is aware of how much energy they use, because of the important financial implications, however, that doesn’t mean people shouldn’t be conscious of the other aspects just because they’re not as linked to your wallet. In the future, I think there’s great potential in adding a community element to allow users to compare themselves to colleagues and neighbors. Also, I’m really interested in extending this concept to quantifying waste and recycling to bring further transparency to an area where peoples’ understanding seems to be quite opaque.

Classes

Introduction to Computational Media, Introduction to Physical Computing

Brett Stiller, Dan O'Sullivan, Introduction to Computational Media, Introduction to Physical Computing, Matt Romein, Projects, Tom Igoe

Soci[T]able

Brett Stiller, Matt Romein

Join us at the bar, where your glass becomes both a vehicle for libation and tool for interaction, controlling an animated environment on the surface beneath you.

http://www.brettstiller.com/socitable/

Description

The Soci[T]able is an interactive counter-top that mirrors and visualizes the social behavior of it's guests.

Built using ReacTIVision and TUIO (camera vision and tracking) , MAX MSP, and Projection Mapping, patrons interact both with a projected animation and each other.

Each glass is identified by a unique Fiducial at it's base and affects the animation beneath.

Classes

Introduction to Computational Media, Introduction to Physical Computing

Benedetta Piantella Simeonidis, Dan O'Sullivan, Francisco Ramirez, Introduction to Computational Media, Introduction to Physical Computing, Projects

Mind the Needle

Francisco Ramirez

Pop a balloon with your mind.

http://www.fracoix.com/physcomp/2014/10/11/mind-the-needle-mid-term

Description

Time's running out! Will your Attention drive the Needle fast enough? Through the EEG consumer electronic Mindwave, visualize how your Attention level drives the speed of the Needle's arm and pops the balloon!

Classes

Introduction to Computational Media, Introduction to Physical Computing

Benedetta Piantella Simeonidis, Dan O'Sullivan, Daniel Shiffman, Introduction to Computational Media, Introduction to Physical Computing, Melissa Felderman, Paul Hiam, Projects

Digital Graffiti Wall

Melissa Felderman, Paul Hiam

An interactive virtual drawing experience.

melissafelderman.com/digitalgraffitiwall/index.html

Description

For our Physical Computing final project we are planning to build an interactive digital drawing experience. Our goal is to enable social interaction in a fun and unusual environment and to create a token for the user to take from the experience similar to a traditional photo-booth. The interaction should feel transcendent. If successful, the experience should act as a social lubricant and the user should walk away smiling.

The experience is as follows:

-There will be a projection on a flat surface. This is the digital drawing.

-As the user provides input, the projection will update to reflect their actions.

-There will be a computer out of site from the user where the digital drawing lives and is updated.

-The user will provide input by using tools in drawing or painting like motions.

-The sensors on the tools will send feedback to the computer causing the drawing to update.

-The projection will provide real time feedback to the user to inform their continued interaction.

-One of more users can interact with the experience at one time.

-Once the user/s is satisfied with the drawing, they will have the option to email their digital drawing to their personal email or to friends.

This project is designed to have infinite iterations and adapt to any environment. For our first iteration, we plan to keep the experience simple and minimize the amount interaction options. Once we move beyond Version 1, we will have room to create a more robust experience by pulling in external media, like selfies, interactive environmental backdrops and animations, or the option to save as a gif or jpg.

Classes

Introduction to Computational Media, Introduction to Computational Media, Introduction to Physical Computing