Paper Number
1974
Paper Type
Complete
Abstract
The rapid development of artificial intelligence has enabled its use in many fields. However, for complex design tasks, the question arises of how AI can effectively support humans and lead to a symbiotic collaboration without replacing humans. During the design process of buildings in the architecture, engineering, and construction industry (AEC industry), there are many points of choice and decision where an AI-based support system can complement the designers` experience and managerial decision-making. With this in mind, the paper identifies design principles for a human-AI collaboration for architectural design. It explores the use of generative AI as creative stimuli provider (e.g. building footprints). We employ a design-oriented research approach (design science research) that paves the way to a concept for human-AI collaboration in the idea generation phase of architectural design.
Recommended Citation
Weber, Sebastian; Klein, Hans Christian; Siemon, Dominik; Kordyaka, Bastian; and Niehaves, Björn, "Designing successful Human-AI Collaboration for Creative-Problem Solving in Architectural Design" (2024). ICIS 2024 Proceedings. 14.
https://aisel.aisnet.org/icis2024/isdesign/isdesign/14
Designing successful Human-AI Collaboration for Creative-Problem Solving in Architectural Design
The rapid development of artificial intelligence has enabled its use in many fields. However, for complex design tasks, the question arises of how AI can effectively support humans and lead to a symbiotic collaboration without replacing humans. During the design process of buildings in the architecture, engineering, and construction industry (AEC industry), there are many points of choice and decision where an AI-based support system can complement the designers` experience and managerial decision-making. With this in mind, the paper identifies design principles for a human-AI collaboration for architectural design. It explores the use of generative AI as creative stimuli provider (e.g. building footprints). We employ a design-oriented research approach (design science research) that paves the way to a concept for human-AI collaboration in the idea generation phase of architectural design.
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