| id |
ecaade2024_141 |
| authors |
Drusinsky, Ben; Grodsky, Sivan; Haiman, Eduard; Schaumann, Davide |
| year |
2024 |
| title |
A Simulation Framework for Space-Use Alignment in Adaptive Environments |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.1.653
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 653–662 |
| summary |
Recent advancements in the Internet of Things (IoT) and adaptive architecture created new opportunities for designing environments that dynamically respond to human needs. However, architects lack the tools and methods to design architectural responses that meet dynamic space-use requirements. This paper introduces a multi-agent simulation framework for space-use alignment in adaptive environments that includes dynamic and reconfigurable architectural components, such as tables and movable partitions. The proposed approach generates, simulates, evaluates, and selects optimal adaptability strategies to meet activity requirements while also considering space affordances, occupant preferences, and the availability of limited dynamic components to be allocated at the same time. We demonstrate this approach in a preliminary case study in a workplace setting. The results indicate that the proposed framework can automatically identify space-use allocation strategies for dynamically changing activity requirements, which maximize space utilization, people experience, and activity performance. This approach could help architects, engineers, and designers explore alternative adaptability strategies, contributing to a shift toward human-centered and responsive environments. |
| keywords |
Adaptive Architecture, Human-Building Interaction, Multi-Agent Simulation, Space Allocation |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (767,141 bytes) |
| references |
Content-type: text/plain
|
| last changed |
2024/11/17 22:05 |
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