Research on the Creative Path of AIGC Assisted Visual Communication Design from the Perspective of Human-Machine Collaboration
Abstract
The rapid iteration of generative artificial intelligence (AIGC) has thoroughly reconstructed the creative modes and human-machine
relationships of traditional visual communication design, shifting the design creation from the human-dominated linear process to an intelligent closed-loop mode of human-machine collaboration. Traditional visual communication design suffers from prominent drawbacks such as
slow creative iteration, inefficient material integration, serious homogenization and high cost of personalized creation, which can hardly meet
the diversified and high-efficiency visual creation demands in the digital era. This paper constructs scientific and feasible human-machine collaborative creative paths, aiming to balance technical efficiency and artistic creativity, realize the in-depth integration of AIGC technology and
visual communication design, and support the intelligent and high-quality innovative development of the industry.
relationships of traditional visual communication design, shifting the design creation from the human-dominated linear process to an intelligent closed-loop mode of human-machine collaboration. Traditional visual communication design suffers from prominent drawbacks such as
slow creative iteration, inefficient material integration, serious homogenization and high cost of personalized creation, which can hardly meet
the diversified and high-efficiency visual creation demands in the digital era. This paper constructs scientific and feasible human-machine collaborative creative paths, aiming to balance technical efficiency and artistic creativity, realize the in-depth integration of AIGC technology and
visual communication design, and support the intelligent and high-quality innovative development of the industry.
Keywords
Human-machine collaboration; AIGC; Visual communication design
Full Text:
PDFReferences
[1] Li J, Chen Y. Research on Reform and Dilemma of AIGC Empowered Visual Design from the Perspective of Human-Machine
Collaboration[J]. Packaging Engineering, 2024, 45(12): 210-216.
[2] Zhang X R. Process Reconstruction and Innovative Path of Visual Communication Design Driven by AIGC Technology[J]. Art Grand
View, 2025(03): 136-139.
[3] Wang H Y. Research on Human-Machine Collaborative Creation Mode of Visual Communication Design in the Era of Artificial
Intelligence[J]. Design Art Research, 2024, 14(04): 78-83.
DOI: http://dx.doi.org/10.70711/rcha.v4i8.10186
Refbacks
- There are currently no refbacks.
