With "this", world's every graphic asset builds connection, instead of standing in its own island. As it focuses on simplified 2D imagery, its accuracy can be improved by catching an image with one set of color contrast--rather than complex objects or scenery. It doesn't necessarily try to translate the real world, but it observes how people perceive and recreate it in their own system. –Dream review

Biltmore Ave by Mason Adams


Concept: Graphic elements, such as icons and signages are everywhere in people's daily life. They also have standards and people have no problem communicating via those elements, or they do have problems. Regardless, the ability to produce a system of signs is human's very own characteristic.

Font Map by Kevin Ho: Also continues to fontjoy.com, which is a website you can pair font based on font vectors. It touches the core of my idea in a sense that the project itself tries to defend its own decision making in graphic design. My improvement or difference can possibly rely on ways to present this kind of analysis into other formats or applications.

Audience: There can be two types of users. One type can be those who are vaguely interested in visual communications area, and want to learn more about it. The other one can be those who desire to take these visual languages in different perspective.

Context: Due to the nature of my topic, it's somewhere between visual design and data analysis. There are many cases that attempt those two combinations, such as Programming Design Systems or Color of words. Although area of graphic design hasn't been fully observed, there are plenty of studies about road-sign recognition due to technical improvement in vehicle AI.

Content: There are still parts to be solidified, such as a method to tightly bond the daily experience of encountering numerous graphic elements with my analysis. Besides, I think the analysis itself will be consisted of big two themes of form and color. There is also a possibility to go with only one of them, depending on my speed.

Tech: Building T-SNE vector space and analyzing data have been done before, yet I haven't implemented in more advanced way than mere data files. In the same line from building content, I would like this to be approached in casual way as well.

Timeframe & Scope: 14 Weeks will be enough.


Preliminary Thesis Statement

Nowadays, people use Google Map navigation to find their direction. Before (or still), it was all about paper maps and road symbols. Even before that, people had similar system, drawn on cave walls and trees. Although now most things are migrating into digital devices, visual communication always exist in human history, only within different medium.

Visual communication, or graphic design, is like culture and language. It evolved in unpredictable directions, and people's lifestyle and history are embedded in them. Therefore, it's rather a new way to attempt these visual elements in analytical point of view, solely based on their appearance without their background contents. For the same reason, the concept or prototype I'll be building won't be about judging good or bad designs.

Instead, it's more about carefully observing what surround us everyday. My final outcome will be a combination of analysis and a tool to detect and/or generate visual elements based on that analysis.