인공지능 기반 헬스케어 서비스의 사용경험 향상을 위한 설명 시각화 방안 컨셉 제안

Explaining AI-derived outcomes in AI-based healthcare services is crucial for alleviating user anxiety and enhancing trust. In particular, the user’s information perception experience may vary by how information is provided. This study explores visualization methods to help users easily understand and trust the process of AI results derivation. Through literature and case studies, we identified the current status of AI healthcare services, and the informations provided to users, and organized explanation visualization methods based on prior research. The proposed approaches include emphasizing factors influencing AI-derived outcomes, portraying AI as a social entity, and allowing users to manipulate variables and visualize the resulting changes. We also created and evaluated screen design examples incorporating these strategies. As a result of the evaluation, explanation of the variables that influenced the results and the intuitive expression through visualization of key contents can have a positive impact on the user's service use experience.