DESIGN DNA APPROACH FOR DEFINING NEW “STYLES”.

ONUR MÜŞTAK ÇOBANLI

What is DNA?Deoxyribonucleic acid (DNA) is a nucleic acid that contains the genetic instructions used in the development and functioning of all known living organisms and some viruses.

What is DDNA?DDNA contains the generic instructions and meta-metadata that could be used in the development andfunctioning of Products, Designs and ArtWorks.

What is Style?A “Style” contains the generic instructions and meta-metadata that could be used in the identification and specificatiion of Products, Designs and ArtWorks.

From DDNA to STYLEAt each step, we are searching for similar looking but different designs and artworks.While Style does it inductive, DDN does it deductive.

Structure of DDNADDNA is composed of information domains, domains are composed of sub-domains, sub-domains are composed of nodes are composed of groups (micro-domains) and groups are composed of nodes and nodes are composed of bits of information.

As we focus deeper the similarities in information increases.

Coding the DDNAPseudo-DDNA (PDDNA) is a Natural Language Expression of the DDNA.

Generative Pseudo-DDNA (GPDDNA) is also in natural language, with “Randomly Picked” or “Generated” values.

Sampled-DDNA (SDDNA) is physically demonstrated rather than explained with texts, contains mix media information.

Heuristic-DDNA could be coded in XML Language, array of metadata

Generative-DDNA is heuristic, with “Randomly Picked” or “Generated” values.

The Extraction Process

2. Focus more on a sub-domain. (I have focused to Visual Arts)

1. Choose an information domain; sciences or culture. (I have chosen Japanese Culture)

The Extraction Process

4. I had focused on the “Traditional Paintings”, which is a micro domain.

3. In this sub-domain, choose a micro-domain where there are enough similarities betweenthe members of the group.

The Extraction Process5. Make use of moodboards and other methods to have the first look on an object. If you cannot focus further, stop, and start building your sample-boards, moodboards or infographics and any other metadata.

The Extraction Process6. Try to see what are the shared elements (in paintings I found for example color is a strong shared element.).

The Extraction Process7. Start expressing the nodes with moodboards or other methods. (For example I have colors here)

8. A better moodboard is also a better info-graphic, try to convey more information such as weight of colors.

The Process FlowWhen for each of the nodes we clarify the contents, we can create new products, designs and artworks with the same Style, or we could create something totally new, using the research as a base.

1. First we define our GDDNA so that we use the “Style” data to come up with new designs. We need to define the Generative Design DNA explicitly.

2. We have our generative algorithm, we need to write down what has to be done, how the GDDNA should be processed.

3. Compute; the process and the algorithm can be followed by the computer or a human, for the creation of new designs and products that share a similar “Style”.

Example of Generative DDNAIn Natural Language; Shape Node: “Rectangle 3:1 Canvas with Circles as Images” : The canvas, this designer picks will always be rectangle with 3 to 1 proportions, horizontal, obsessed with 3 and 9 and symmetry, this particular artist draws 27 circles (9 in a row and 3 rows) with uniform distribution. Color Node: “Traditional Japanese Painting Colors” : As a lover of Traditional Japanese Paintings, the artists refers to the Moodboard in Fig.9 for choosing colors, she fills the circles and the background with these colors, to remind you, in Figure 9, we had found out that there are different background colors, contrast colors and standard fill colors in Traditional Japanese Paintings. Social Node: “Signature” : The artist draws a signature on each of her drawings to create a social link between the artwork and the artist.

Now we write down our process and execute it.

Simple Generated WorkDesigners’ Avatar “Bes”; created A series of “generated” abstract drawings by Onur Mustak Cobanli, seeded by words.

Simple Generated WorkDesigners’ Avatar “Bes”; created A series of “generated” abstract drawings by Onur Mustak Cobanli, seeded by words.

Simple Generated WorkDesigners’ Avatar “Bes”; created A series of “generated” abstract drawings by Onur Mustak Cobanli, seeded by words.

Design DNA ONUR MÜŞTAK ÇOBANLI

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