User:Koen

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Project 1: On The Body

'Exploring bespoke technologies as remediation, adaptions or extensions of the human body: Each third year will produce a new work inspired by one of the minor projects, but in an explicitly different medium or approach.'

Context

We spend the first week of this project helping the minors. They had their own groups with their own projects: my group had the idea to raise awareness for the 'terms and service' and careful you need to be when reading them. If you read them at all, that is. Be careful of what you agree with, it might be used against you. In the installation they secretly take a picture of you and spread it to computer screens across the room to show you how fast it can spread.

Project

My task in the first week was to make the wiki in order. I had to record important parts of the minors' research with either writing text or showing pictures. I also had to show the result of their work, pictures that were unexpectedly taken of you and shown on a giant screen in the next room.

The wiki page: http://digitalcraft.wdka.nl/wiki/Introweek2017 (the project is called 'I agree')

For my second project, I had the idea to visually show you how fast one of those pictures could spread across the world with the help of animation (my department). You would see an animation of the globe and the picture being spread across it in the form of tiny dots of light. It starts with one dot and over time more dots start to appear all across the globe until it's covered with dots.

I used a lot of pictures of the earth at night as a reference on which area's on the world have a large population. Here are a few:

Europe America Asia

Earth

The result is the following video:

https://vimeo.com/235885752

Reflection

The first week was great, even if it was pretty sudden. I had to adapt really fast to the group I was placed in and understand where they were coming from with their project. I was also happy to know that my help was appreciated in the group, as I had the task to make sure the wiki was in order.

The second project was honestly not a fun project to work on, mainly because I was making it really difficult for myself. Drawing all the dots on the globe for multiple frames drove me insane. And it doesn't really look all that good in my opinion. I needed too many dots and I couldn't give them all my attention or this project would take up too much time. There was probably an easier way to make the animation, but I don't know how and by the time I started questioning my methods I was already half-way in my project. I see it as an extension of the human body to properly see what happens to your data.

Project 2: Sensitivity Training

This project is all about exploring the effects of external inputs on the human body.

Context

The class is divided in groups and each of them explores a different input. There is light, magnetism, voltage, heat and stretch. I have formed a group with Tutu and we have chosen voltage. The first week we were supposed to make three very short (10 seconds) video's. Each of these video's should display a different effect that voltage has on the human body. In the second week we thought it would be fun to show how voltage is being presented and what kinds of effects it has in the world of cinema. As such, we wanted to make a compilation of all kinds of movieclips showing off what voltage can do in the world of fiction.

Project

The three video's we made each had its own theme:

In the first video we tried to measure my body voltage using a power source, some cables and a multimeter, to show that voltage naturally runs through a human body. We connected the power source to the multimeter and the multimeter to me, but we didn't really get a measureable result. Though, as I started moving my body, with the electrode of the multimeter in my hand, the multimeter suddenly started to measure something. When I stopped moving, the measuring stopped. It really was my body that triggered it, if I only moved the electrode around nothing happens. We thought it was really interesting, so we decided to just record this instead of what we had originally planned.

Video #1 (voltage measure):

https://vimeo.com/237375720

In the second video I rubbed my hair with a balloon to show the effects of static electricity on human hair. It makes your hair stick to the balloon. I sped up the rubbing so that the video's length still fit in the ten second range and because it is funny.

Video #2 (shock):

https://vimeo.com/237375829

The third and final video shows me shocking my fingers with an electric flyswatter. The goal of this is to record the reaction of my body to the shock that I get, particularly the facial reaction. I used a zoom and a slow down on the face to clarify this and also for comedic effect.

Video #3 (balloon):

https://vimeo.com/237376000

Our compilation consists of various clips from for example 'Back to the Future', 'Frankenstein', 'Ernest goes to jail', 'Finding Nemo' etc. We collected all kinds of clips and piled them together in a GoogleDoc. We decided to order these clips into specific categories in an effort to bring some order to our list of clips. We used the categories: Torture, Protection, Science, Accidents, Magical and Treatment. The last two were ultimately scrapped for our compilation, because we would end up with far too many clips to show. We're planning to use three different screens, one for the main shockin', one for text and one for some supporting footage/images. The left text screen displays information about the category and/or the clip displayed on the middle screen. The right supporting screen displays either some of the main clips' shots at the same time or some interesting images to build on information from the left screen.

Still1 Still2 Still3

Rat

Shock

Expo2 Expo

Reflection

Finding creative ideas to show the effects of voltage on the human body was not that hard. The more interesting part is how to show these ideas in video form. Luckily it was all easy and fun to do.

The shock compilation wasn't hard either, just really tedious, as Tutu and me wanted to improve our editing skills (learning more about all these video effects) along with this project. I'm really happy that we were able to do that and that it isn't just a sequence of movie clips. I mean it is, but we used some sort of structure and also some glitchy transitions between clips to show that we put a bit more work in it. And it shows, considering this project also took a little longer to make than I wanted. But unlike project 1, I really enjoyed working on this compilation.

Project 3: Mind of the Machine

'Exploring the consequences of a machine learning of the human mind.'

Context

In this project Dieke and I were studying the definition of 'cute'. In nature cuteness is a way of survival. What kind of parent would abandon something so adorable? But a machine is not like that. A machine is cold, calculative and most of all emotionless. That's why we are certain that recognising and acknowledging cuteness is what makes us human. How can a machine be able to understand what cute is?

Project

For our Study of [...] assignment, we chose Study of Cute Things. We had to:

  • Gather (find/collect/curate/generate) a set of at least 100+ images that fit within a chosen classification/category, which in someway can be considered quintessentially human.
  • Write a 250+ reflection on the chosen category and the method of collecting images/data set.
  • Study the images, order, and make a selection into a visual essay (add a caption to each image.
  • Run the data set through the image generator algorithm and produce a few machine generated images to your essay.

The end result has to be a professionally crafted booklet containing all of the above.

Dieke almost immediately knew that she wanted to make her booklet about cute things and I guess I just went along with it. We used Google Images and Pinterest to find our images using the word 'cute' and we took the pictures that to us personally invoked a feeling of cuteness. When we found 100+ images, we gave them to Boris and we let his algorithm determine its own definition of cute. The result was this:

CuteAlgorithm


We also got a bunch of separate images, also made by the algorithm forming and mixing images:

MixedImages


In the booklet itself we decided to start with what drove us to investigate cuteness. We talk about cuteness being a subjective thing (what you find cute, might not be cute to others) while at the same time, cuteness has an aura of objectivity to it. After all, there are a ton of character traits that are often used by character designers to make the audience think that what they're seeing is adorable. After that we picked our personal favorites from our collection, with captions explaining why we chose these particular pics.

Then we tried to make sense of the mixture of cute picture. As I suspected, the end result is not cute at all and the computer doesn't seem te understand what cute means. Although I did spot the 'S' for 'Schattig' (which means cute in dutch), there isn't a single thing in this picture that invokes the feeling of cute for me. Some of the cute colors, white and pink, are present, but the machine seems to randomly generate something without knowing what the emotion in these pictures is. But maybe that's the point. Maybe it does understand, but we don't understand it.

S slightly highlighted


Reflection

It was really fun to overthink the concept of cute. Although I do mean a lot of what I wrote in the booklet, at its core, we just wanted to use cute things, nothing more, nothing less. Cute things is quite a broad concept though. I think that's why the image of the algorithm is so mixed up. If we had defined our search term a bit more, I think we would have a more stable and cute end picture. Using 'anything' that we personally found cute was the cause of so many different pictures ending up in the end project. I learned a lot as well. I didn't know how to make a booklet before this assignment. I don't think it looks as professional as it could have been but I learned the basics of it, so I at least got that.

End Reflection

Because my study is animation, I am quick to say that animation is my craft, as it is the way I tell stories, convey ideas and what I do for fun. I always go back to 2D animation, with programs like TV-Paint and After Effects, because it is the area I wish to improve upon and it is what I am the most interested in. My interest lies with video’s, cartoons, drawing, giving life to things. When a project stands before me, my immediate reaction is: ‘How can I tackle this with animation?’

So when I got in Digital Craft and I had to do things with my hands, i.e. not animation, I was a bit worried. I had no idea how to do anything in Digital Craft, I have no experience with woodworking, programming, basic mechanical constructs etc. Somehow in my head I thought that I needed to learn all of that. Obviously this isn’t the case, but animation was a bit too digital for the projects that we got. If you only did ‘digital’, you wouldn’t get to the ‘crafting’.

It doesn’t mean I am not interested in Digital Craft though. A lot of the projects I was working on gave me something to think about. While the most fun project to work on was the shock compilation, the project I found most interesting was ‘the Mind of the Machine’. A machine doesn’t work on art projects with emotion or reason, but with randomness. This is what I want to explore further in quarter 10.

For next quarter I want to return to what I’m good at (animation), while also learning some of the many things that digital craft has to offer: programming. I am interested to see what the machine thinks about animation and let it animate something with the use of code.

I am by far not the first one that has made something with code. People like Sergio Albiac generate entire portraits completely from code and transcribed voice. But I think it’s important to give the machine as much creative freedom as possible, otherwise you’re just using the machine as a tool, instead of trying to understand its perception on art. Giving every line some sort of ‘random’ factor is very important for that, I think.

Sketch

Sketch