AI를 활용한 브랜드 캐릭터 디자인의 사용자 인지 가치와 시장 적응성 향상을 위한 연구 - 도널드 노먼 감성화 이론을 기반으로

초록

The rapid development of Artificial Intelligence Generated Content (AIGC) is reshaping the landscape of brand character design. Despite this progress, the connection between AIGC’s emotional expression capabilities and users’ emotional expectations remains underexplored. This study proposes a novel AIGC-based design methodology for brand characters, grounded in Donald Norman’s emotional design theory and its three-level model: visceral, behavioral, and reflective. Using Tsingtao Beer as a case study, the research integrates SWOT analysis, Analytic Hierarchy Process (AHP), and Fuzzy Comprehensive Evaluation to identify and prioritize user emotional needs. Leveraging ChatGPT 4.0 and image generation models, the study realizes visual brand character creation. The findings indicate that this method enhances emotional resonance and market adaptability of brand characters. This research contributes to the theoretical application of emotional design in AIGC-assisted branding and offers practical guidance for building emotionally engaging brand identities in the digital age.

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