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초보 사용자와 숙련 사용자를 위한 이미지 생성형 AI의 설명가능성: 정적 및 동적 설명 비교를 중심으로
양나은(Na-Eun Yang),한은빈(Eun-Bin Han),최준호(Jun-Ho Choi) 한국디지털콘텐츠학회 2024 한국디지털콘텐츠학회논문지 Vol.25 No.8
As generative AI technology continues to advance, the utilization of image generative AI tools has significantly increased. However, the complexity of these systems presents challenges for both novice and expert users, highlighting a need for improvements in usability. This study explores the impact of interactive explanation methods, a branch of Explainable AI (XAI), on perceived explainability among users with varying experience levels. Specifically, it compares dynamic and static explanations, analyzing their effects on explainability, understandability, informativeness, trustworthiness, and user satisfaction. The findings indicate that dynamic explanations enhance both explainability and understandability, particularly for novice users. These results emphasize the importance of tailored explanation strategies in designing more user-friendly and accessible generative AI systems.