인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Purpose This study aims to empirically analyze the relationship between the emotional images of logo colors and brand identity in the context of major domestic aesthetic franchise brands. The study seeks to understand how effectively symbolic colors reflect each brand’s core values and emotional direction. Methods The study extracted and analyzed the symbolic colors used in brand logos by utilizing digital tools such as Adobe Color and ColorHexa. Each color was converted into HEX, RGB, and HSV values, and analyzed based on hue, saturation, and brightness. Emotional image keywords associated with each color were compared with the brand's stated identity keywords to assess the degree of emotional alignment. Results The analysis showed that most brands displayed a high degree of emotional alignment between their logo colors and brand identity. For example, brands using high-brightness and high-saturation green and yellow hues effectively conveyed values such as wellness, accessibility, and vitality. Even brands using the same base color (e.g., green) showed emotional differences due to variation in tone and additional color combinations. However, in some cases, such as premium or heritage-oriented brands, a partial mismatch between symbolic colors and identity keywords was observed. Implications Finally, this study confirms that logo colors function not only as visual elements but also as strategic tools for emotional communication and brand storytelling. It highlights the importance of selecting brand colors based on emotional tone, brightness, and cultural perception. The findings offer practical insights for brand designers and marketers to develop consistent, identity-driven color strategies aligned with consumer sentiment.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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