Artificial Intelligence Augments Design Creativity:
A Typeface Family Design Experiment
Abstract. This paper attempts to explore a way to augment design creativity with artificial intelligence through a typeface family design experiment. At the beginning, the article briefly reviews the theory of creative generation, and based on the commonality of these theories, the design creative model of “Inspiration - Creation - Reflection - Re-Creation - Re-Reflection” is summarized. Then, the hypothesis of artificial intelligence augment design creativity based on this model was proposed. In order to prove the feasibility of this hypothesis, we have carried out an experiment of typeface design for Chinese characters. The problem to be solved in this experiment is the contradiction between traditional Chinese character design method and large-scale diversification of information needs. We propose to design a Chinese character typeface family instead of designing a typeface which provides diverse character experience based on the concept of “one character with thousands of forms”. In order to obtain the typeface family, we adopt Generative Adversarial Networks and select different typical Chinese typefaces as data for model training, finally generate the diverse typefaces. This design method is completely different from the traditional typeface design method and it has produced a new typeface design form. In general, the designer initiated the button of design creativity according to the design problem. The artificial intelligence continuously gives the result of the learning while the designer continuously responds to that. The interaction between designers and the artificial intelligence brings out a new type of Human-machine collaborative relationship, that is: artificial intelligence augments design creativity.
Wind from Bamboo:
A Chinese Handwriting Mingling Interactive Installation Based on Human-Ai Collaborative Font Design
In the era of information, the feeling that the pen tip rubs against the paper is getting farther away, and the way of writing Chinese characters with strokes is gradually alienating. In response to this problem, this work tries to help people relive the touch of handwriting through the mingling of real and virtual experiences. The designer collaborated with AI to design a Chinese font that integrates bamboo leaves’ shape and Chinese characters’ structure. Based on the font, an interactive installation was set up to start a virtual Chinese poetry bamboo forest scene through real handwriting behavior.
ABOUT OUR TEAM
Creativity-AI-Colab is a joint laboratory established by researchers from three different universities in China and the United States. The co-lab focuses on exploring the methods and paths of collaborative creativity between humans and artificial intelligence in the field of design and art.
SUPERVISOR
Dr. Zhen Zeng
Zhen Zeng is the dean and associate professor of the Department of Digital Media Art, Design School, Sichuan Fine Arts Institute. She holds a Ph.D. in Design from the College of Design and Innovation, Tongji University. Her research interests are artificial intelligence in design and interaction design. She pays attention to the cross-integration innovation of design, technology and science. She is the cofounder of Creativity-AI-Colab.
Sven Travis
Sven Travis is an associate professor of Computational Media at Parsons The New School for Design. He is former (founding) Dean of the School of Art, Media, and Technology at Parsons. He has taught and administered at Parsons for almost thirty years. He also founded the BFA and MFA degree programs in Design Technology, within which he now and forever (very happily) teaches. He is the cofounder of Creativity-AI-Colab.
Dr. Xi Lyu
Dr. Xi Lyu is a professor and dean of the School of Design, Sichuan Academy of Fine Arts. She is a visiting scholar at the State University of New York at Buffalo, a visiting scholar at the Academy of Fine Arts of Tsinghua University, and a Ph.D. in Design from Macau University of Science and Technology. She focuses on information architecture and visualization design, interactive experience design, and user experience-based multidisciplinary collaborative interaction design research.
Dr. Xiang Liao
Xiang Liao obtained his PhD degree in the University of Freiburg, Germany. He joined the faculty of Chongqing University in 2018 as Associate Professor. His main research interests are focusing on neuroscience and artificial intelligence, particularly about understanding memory information processing mechanisms in the brain and developing automated tools to analyze neuroimaging data.
MEMBERS
Jie Wang
Nan He
Weinan Cheng
Lanshan Luo
Jiadi Zhang
Rollins Tang