개념 디자인에서의 AI의 활용에 관한 연구

Abstract

Machine learning(ml) was already developed in the 1940s, but its application value was low due to limited computational power and lack of data. Since then, based on advancements in computer technology and data accumulation, artificial intelligence, particularly machine learning, has gained interdisciplinary attention as a tool for providing insights in the field of design. Recently, numerous prior studies on image generation using artificial intelligence have emerged, reflecting this growing interest. However, from a practical standpoint, there are several criticisms: the images generated by machine learning often lack the resolution required by designers, and they fall short in providing original images. It is worth examining whether the perspectives of these prior studies are becoming teleologically biased. Therefore, this study aims to explore the gap between interdisciplinary discussions and practical applications, seeking to bridge this gap and integrate AI-generated image creation into practical use. This research is based on a literature review of Generative Adversarial Networks(GANs) in machine learning(ml), examining whether the images generated are acceptable from the perspective of product designers. Based on this, we will use text mining methods to perform clustering, information extraction, and sentiment analysis to understand consumer attitudes. Through this approach, we aim to explore the potential use of AI in product design from the standpoint of consumers and practitioners rather than an interdisciplinary perspective.