Self Cartography – II: Designing our own visual encoding framework

[rasagy]

With #24 done, let’s try and take a stab at designing our own framework!

We will —

1. Narrow down on questions that we want to ask
2. Think of possible answers for each question
3. Break into two groups and come up with two frameworks
4. Pair up and make the selfie for each other using the two frameworks

For reference, feel free to look at possible visual encoding options from Noah Illinsky’s post:

[rasagy]

Here are our questions:

1. What kind of furniture do you prefer? Wood / Metal
2. Which part of India were you born in? North/South/West/East/Central
3. How many tourism spots would you recommend to visit in your hometown? (Count)
4. What kind of vacation do you prefer? Calm/Happening
5. How far do you like to travel? Nearby/In the city/In the country/Abroad/Intergalactic
6. What do you like to drink the most? Tea / Coffee / Milk / Juice / Alcohol / Soda
7. How many cities have you been to? (Count)
8. How are you doing? Happy/Sad/Relaxed/Angry/Meh
9. What music genre to do you listen to the most? Rock & Metal / Pop / EDM / Jazz / Hip Hop & Rap / I prefer silence
10. What runs your laptop? Mac/Windows/Linux

[niranjan41]

Group 1

Order of questions :

1. How are you doing? Happy/Sad/Relaxed/Angry/Meh
2. From where do you belong? (City/Region) — Which part of India were you born in? North/South/West/East/Central
3. How many tourism spots would you recommend to visit in your hometown? (Count)
4. How many cities have you been to?
5. What music genre to do you listen to the most? Rock & Metal / Pop / EDM / Jazz / Hip Hop & Rap / I prefer silence
6. What runs your laptop? Mac/Windows/Linux
7. What do you like to drink the most? Tea / Coffee / Milk / Juice / Alcohol / Soda
8. What kind of furniture do you prefer? Wood / Metal
9. What kind of vacation do you prefer? Calm/Happening
10. How far do you like to travel? Nearby/In the city/In the country/Abroad/Intergalactic

[DyoNDyyo]

Group 2

1. How are you doing? Happy/Sad/Relaxed/Angry/Meh
2. From where do you belong? (City/Region) — Which part of India were you born in? North/South/West/East/Central
3. How many tourism spots would you recommend to visit in your hometown? (Count)
4. What kind of furniture do you prefer? Wood / Metal
5. What runs your laptop? Mac/Windows/Linux
6. What do you like to drink the most? Tea / Coffee / Milk / Juice / Alcohol / Soda
7. What music genre to do you listen to the most? Rock & Metal / Pop / EDM / Jazz / Hip Hop & Rap / I prefer silence
8. How many cities have you been to?
9. What kind of vacation do you prefer? Calm/Happening
10. How far do you like to travel? Nearby/In the city/In the country/Abroad/Intergalactic

[rasagy]

Some of the projects that we looked at today:

• Onformative’s Facebook Tree
• Stefanie Posavec’s Writing without words
• Generative Identity of Leeds College of Music
• Generative Identity of Nordkyn
• Meshu — Jewelry from location data
• MIT Media Lab’s old, generative identity
• A typeface out of satellite imagery

(More project references are in my talk slides on Using Data for Art)

[aromalram]

Spirit Animal

These are the encodings for the answers of the various questions. These representations form the representation of your spirit animal.

[vinodxyz]

My Planet

Encodings followed by Group-1. The idea is to represent our answers using a planet/celestial body.

[vinodxyz]

Vinod's Data-selfie (Planet encoding framework)

[vinodxyz]

Aromal's Data-selfie (Planet encoding framework)

[aromalram]

Vinod's Data Selfie (Spirit Animal)

[holy-devil]

Rajshree's Data selfie:

[holy-devil]

Jayant's Data selfie:

[aromalram]

Aromal's Data Selfie (Spirit Animal)

[vinodxyz]

Jasleen's Data-selfie (My planet)

[BarshaP14]

Barsha's Data Selfie (Spirit Animal)

[BarshaP14]

Niranjan's Data Selfie (Spirit Animal)

[rasagy]

Great, thanks for posting the explorations! Let’s close this once we have everyone’s work shared here.

[rasagy]

Going ahead and closing this — it was great to see two different styles emerge out from our discussions. If anyone who missed out wants to share their exploration, feel free to continue adding on as a comment.