From theory to practice: derivation of the application domain card for supporting AI system development

The contribution introduces the Application Domain Card (ADC) as a structured, problem-oriented method for documenting the status quo and challenges within application domains, addressing a gap in existing AI development methodologies. Derived through a literature review, the ADC emphasizes flexibil...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the Design Society Vol. 5; pp. 1903 - 1912
Main Authors Müller, Benedikt, Roth, Daniel, Kreimeyer, Matthias
Format Conference Proceeding
LanguageEnglish
Published Cambridge Cambridge University Press 01.08.2025
Subjects
Collaboration
Documentation
Generative artificial intelligence
Knowledge management
Machine learning
Methods
Product development
Subject specialists
Systems development
Technology adoption
Online AccessGet full text

Cover

More Information
Summary:The contribution introduces the Application Domain Card (ADC) as a structured, problem-oriented method for documenting the status quo and challenges within application domains, addressing a gap in existing AI development methodologies. Derived through a literature review, the ADC emphasizes flexibility, modularity, and accessibility, thereby enabling domain experts to identify AI use cases independently while fostering collaboration with AI experts. The practical applicability of the ADC was confirmed by a support evaluation involving technical drawing assessments in the context of design theory exercises. Future research will focus on refining the ADC to meet specific demands of industrial product development. This includes developing a software-supported application with automated tools for information collection and creating a library of practical examples for the method’s modules.
Bibliography:ObjectType-Article-1
ObjectType-Feature-2
SourceType-Conference Papers & Proceedings-1
content type line 22
ISSN:2732-527X
DOI:10.1017/pds.2025.10204