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User-Centered Development of Explanation User Interfaces for AI-Based CDSS: Lessons Learned from Early Phases.
Jung, Ian-C; Zerlik, Maria; Schuler, Katharina; Sedlmayr, Martin; Sedlmayr, Brita.
Afiliação
  • Jung IC; Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Germany.
  • Zerlik M; Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Germany.
  • Schuler K; Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Germany.
  • Sedlmayr M; Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Germany.
  • Sedlmayr B; Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technical University Dresden, Germany.
Stud Health Technol Inform ; 316: 570-574, 2024 Aug 22.
Article em En | MEDLINE | ID: mdl-39176806
ABSTRACT
This paper reports lessons learned during the early phases of the user-centered design process for an explanation user interface for an AI-based clinical decision support system for the intensive care unit. This paper focuses on identifying and verifying physicians' explanation needs in a multi-center, multi-country project. The explanation needs identified through context analysis and user requirements prioritization in an initial center differed from those identified through questionnaire responses from N= 9 physicians after a multi-center project workshop. These results highlight the caution that should be taken when eliciting explanation needs during the user-centered design process.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interface Usuário-Computador / Inteligência Artificial / Sistemas de Apoio a Decisões Clínicas Limite: Humans Idioma: En Revista: Stud Health Technol Inform Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interface Usuário-Computador / Inteligência Artificial / Sistemas de Apoio a Decisões Clínicas Limite: Humans Idioma: En Revista: Stud Health Technol Inform Ano de publicação: 2024 Tipo de documento: Article