Reviving Heritage Through AI: Adaptive Interior Reuse of Abandoned Cinemas in Amman
Open Access
Article
Conference Proceedings
Authors: Mayyadah Fahmi Hussein, Sara Durzi
Abstract: This paper discusses how artificial intelligence (AI) can be used to make interior design more sustainable in the reuse of old heritage cinemas in Amman, Jordan. In this study three cases will be discussed, Cinema Raghadan, Cinema Al Khayyam, and Cinema Al Hussein due to their cultural connection and current state of neglect. To address the growing need to be creative and sustainable in conserving heritage, this paper will adopt a qualitative case study approach that will be organized into three stages: descriptive recording of the current state, analytical evaluation of the heritage value and reuse opportunities, and experimental implementation of the AI tools. This study examines AI generated visualizations, ChatGPT, ReRender, and ReRoom, to learn about the possible effects on design choices, adapting to the environment, and cultural importance. These results show that AI can serve to develop concepts faster, engage communities more actively, and reuse situations that are sensitive to heritage. Limitations involve those related to tool capability and absence of feedback in the form of stakeholders in this preliminary exploratory process. The study shows that artificial intelligence can facilitate sustainable and culture-based reuse of heritage buildings in urban Jordan.
Keywords: Artificial Intelligence, Adaptive reuse, creativity, Abandoned building, Cultural heritage
DOI: 10.54941/ahfe1007217
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