| id |
caadria2024_216 |
| authors |
Rafizadeh, Hamidreza, Belek Fialho Teixeira, Müge, Donovan, Jared and Schork, Tim |
| year |
2024 |
| title |
Evolving Architectural Paradigms: A Study of Levels of Automation in Architecture |
| doi |
https://doi.org/10.52842/conf.caadria.2024.3.079
|
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 79–88 |
| summary |
The Architecture, Engineering, and Construction industry (AEC) is increasingly embracing automation, especially through advancements in Artificial Intelligence (AI). This paper proposes Levels of Automation (LOA) for architectural tasks, categorizing them into creative, documentation and planning, and physically demanding tasks. The study outlines LOA for each category, progressing from basic digital assistance to autonomous machine-driven operations in design and construction. Challenges and implications of varied automation levels are discussed, emphasizing dynamic task allocation based on context, available technology, and task complexity. Decision-making processes are examined concerning the suitability of AI and human intervention. Safety, adaptability, and task-specific considerations are highlighted in selecting suitable LOAs. This paper contributes to the ongoing discourse on automation in architecture, emphasizing the collaborative potential of humans and machines. As automation becomes inevitable in the AEC industry, selecting appropriate LOAs promises enhanced productivity, safety, cost-effectiveness, and overall project quality. |
| keywords |
Level of Automation, Artificial Intelligence, Generative AI, Adaptive Automation, Architecture |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,641,851 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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