AI Approach in Visual Design Ideation Process

Exploring the integration of Artificial Intelligence in the visual design ideation process, this study discusses the optimization of artifacts, the gap in ideation processes, research objectives focusing on AI generative arts, and methods involving AI tools like VQGAN and CLIP. Results show improvements in design element scale and layout with AI assistance, emphasizing the role of designer professionals in refining AI-generated outputs. The discussion highlights the ongoing collaboration between AI and designers to achieve design goals effectively.

• Visual Design
• Artificial Intelligence
• Ideation Process
• Generative Arts
• Design Collaboration

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Uploaded on Aug 15, 2024 | 0 Views

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1. Artificial Intelligence Approach in Visual Design Ideation Process Peter Ardhianto1*,Ryan Sheehan Nababan2 Department Visual Communication Design, Soegijapranata Catholic University, Semarang - Indonesia

2. Introduction Optimal artifact or prototype Ideation process Visual concept

3. Introduction Require a lengthy procedure Optimal artifact or prototype Ideation process Visual concept Ideation Gap Lack of Digital Support

4. Research objective Require a lengthy procedure AI Generative Arts Optimal artifact or prototype Ideation process Visual concept Ideation Gap VQGAN + CLIP Lack of Digital Support

5. Method Approximately time 5-10 minutes

6. Method VQGAN + CLIP Input Output AI on Visual Ideation Process Design Element Scale Survey

7. Results Design Element Scale 3 2 4 5 1 Layout 0 1 4 12 5 (0%) 1 (4.5%) 0 (0%) 0 (0%) (4.5%) 1 (4.5%) 1 (4.5%) 3 (13.6%) (18.2%) 2 (9.1%) 17 (77.3%) 5 (22.7%) (54.5%) 13 (59.1%) 3 (13.6%) 11 (50%) (22.7%) 5 (22.7%) 1 (4.5%) 3 (13.6%) Color Scale / Size Object / Shape

8. Results AI based on generative arts assisting Layout ideation design Defining the color of the ideation process, Imagining objects and shapes. Shorten the ideation process

9. Discussion Designer professionals are still responsible for putting forward questions, formulating rules, and providing the starting point. The designer still requires developing their identity by the brief or re-designing the AI results to optimize the visual design project because various generated images were unpredictable and sometimes outside the text command The study also demonstrates how this collaboration between AI and visual communication designers can continue indefinitely to meet design goals.

10. Conclusion This study aims to assess the effectiveness of generative art-based AI in the ideation process for visual communication designers. According to the findings of this study, designers can use generative art-based AI in ideation. The designer s task as a design originator is not replaced, but it can be sped up by AI s performance in the idea process, particularly in color selection and visual layout. Since the AI generative arts networks select millions of images and keywords on the internet. It combines them into a single visual based on the text commands entered by the designer, and it can be used to develop ideas. Designers use other text commands or re-design AI s results to enable trial and error in the generative arts until the visual design meets the design goals.