인공지능 로고 메이커 플랫폼의 디자인 프로세스 및 특성 연구 - Logaster, Tailor Brands, Logopony, Looka 사례를 중심으로 -

Abstract

Artificial intelligence (AI) is growing as a technology that can replace experts in various fields. In this study, we focus on the phenomenon of shifting from designer-centered logo design creation methods to AI logo maker platforms. Therefore, the purpose of this study is to discuss the characteristics of the creative process of logo makers and the changed design environment based on artificial intelligence technology. To this end, this study examines the theoretical background through a review of the concept of AI, types of creative work and cases, and the development and status of AI technology. Through case studies, this study examines the process and characteristics of AI logo maker platforms. These platforms use rule-based processes that generate results automatically based on user input conditions and options, using an expert system. The process involves four steps: users input information and select options, generate initial logos, customize logos using logo maker tools, and generate final logos and application design. The AI logo maker platform enhances or augments design through AI technology, and streamlines the logo design process through a logo maker tool and a structured process. The platform uses machine learning and deep learning technology, allowing even non-professionals to easily create logos and design results at a low cost within a short period of time. However, there are issues such as overlooking the importance of brand strategy, semantic ambiguity and lack of relevance in the logo, and issues with similar shapes and non-discriminatory results in the logo creation process of AI logo maker platforms.