Integrating Multimodal and Generative AI in Design Research: Enhancing Ethnographic Methods with Data-Driven Analysis

• Published in: 한국디자인리서치, 8(4) pp. 27 - 38
• Main Authors: 페날바 테바르 호세 미겔, 나건
• Format: Journal Article
• Language: English
• Published: 한국디자인리서치학회 01.12.2023
• Subjects: 디자인
• ISSN: 2508-2817; 2671-8375
• DOI: 10.46248/kidrs.2023.4.27

This research examines the application of Multimodal and Generative AI in analyzing interior design trends within the South Korean market. The objective is to enhance traditional ethnographic research methods with AI's quantitative capabilities, offering a more comprehensive understanding of design preferences. This methodology uses AI tools to systematically analyze and categorize design elements from a large dataset of interior design images sourced from a relevant online platform. This process involves extracting key visual trends and patterns using AI-driven semantic analysis and clustering techniques. The study identifies and classifies four dominant design trends, providing a structured overview of current market preferences. By integrating AI into design trend analysis, the study demonstrates a novel approach to understanding consumer preferences, potentially influencing future design decisions. This use of AI in design research broadens the scope of traditional ethnographic studies in design and provides practical insights for designers and industry practitioners, suggesting a shift towards more data-driven design practice. KCI Citation Count: 0