Graduation Year
2020
Document Type
Campus Only Senior Thesis
Degree Name
Bachelor of Arts
Department
Art
Reader 1
Kasper Kovitz
Reader 2
T. Kim-Trang Tran
Terms of Use & License Information
Rights Information
@2019 Huize Huang
Abstract
While some existing Digital Art tools such as Adobe Creative Suite assist artists in creating work, emerging tools, such as Artificial Intelligence with their computational power, may be on the verge of becoming artist collaborators. My project tests an intermediary process by using code to generate Op Art in order to see where along this spectrum algorithmic art sits. Op Art is a particularly useful style to use in this test because it lends itself to coding in the current digital age with the capability to minimize the artist’s hand yet privilege human perception. This project utilizes code-driven drawing tools, based on the go programming language, to create Op-Art pieces that, depending on the process, could be seen either as traditional digital art or generative art. By exploring more technical tools to create digital art, I hope to emphasize the process of making as well as the final products to explore who has control in the creation process and what affect the audience’s viewing perceptions.
Recommended Citation
Huang, Huize, "Parsing Creative Process in Op Art Through Code-Driven Drawing Tools: Alternating Digital Art and Generative Art Practices" (2020). Scripps Senior Theses. 1483.
https://scholarship.claremont.edu/scripps_theses/1483
This thesis is restricted to the Claremont Colleges current faculty, students, and staff.
