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The Impact of Artificial Intelligence on Design Thinking in Interior Architecture : Fostering Creativity and Problem-Solving in a New Era

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dc.contributor.advisorMartín, Javier
dc.contributor.advisorUgarte, Juan Pablo
dc.contributor.authorMatar, Yasmeen Adeeb Mahmoud
dc.contributor.departmentFaculty of Architecture and Design
dc.contributor.otherBerlin International University of Applied Sciences
dc.date.accessioned2025-02-19
dc.date.accessioned2025-12-02T10:35:09Z
dc.date.available2025-12-02T10:35:09Z
dc.date.issued2024
dc.description.abstractAUTHOR-SUPPLIED ABSTRACT: This thesis investigates the impact of artificial intelligence on interior architecture, it explores how AI is shaping the design thinking process, increasing creativity and enhancing problem-solving skills. Technologies such as generative design, machine learning, natural language processing, and computer vision, offer interior designers, powerful tools, that not only increases the human creativity, but also the streamline of the design process. These tools enable designers to generate and evaluate multiple design options and enhance factors like performance material efficiency and sustainability. Additionally, AI driven tools facilitate collaboration between humans and AI, making design solutions more efficient and effective opening a wide range of creative possibilities. The use of AI into interior architecture, introduces innovative methodologies and approaches that improve the traditional design workflow. AI systems can analyze large amounts of data and offer design insights that would be difficult to achieve manually. AI designers can focus more on developing concepts, making the design process more intuitive and altered to the user needs. However, the implementation of AI and interior architecture also brings ethical issues, such as data privacy, and algorithmic bias. Addressing these challenges is important to ensure that they are technologies used in a responsible and ethical way. This thesis aims to connect the knowledge gap by analyzing how AI influences interior architecture, highlighting both the benefits and challenges of AI integration. Through comprehensive research as examples. This study shows how AI can be a powerful assistant in creating innovative, efficient, and user centered interior environments. Key Words: Artificial Intelligence (AI), Interior Architecture, Design Thinking, Problem Solving, Generative Design, Visual Design, Ethical Considerations, Human-AI Collaboration, Machine Learning, Computer Vision. Yasmeen Matar MA Interior Architecture 2024 4 TABLE OF CONTENTen
dc.description.degreeMA
dc.description.tableofcontentsMACHINE-GENERATED CONTENTS NOTEen
dc.identifier.urihttps://repository.berlin-international.de/handle/123456789/1126
dc.language.isoeng
dc.subjectarchitecture
dc.subjectdesign (artistic creation)
dc.subjectdesigners (artists)
dc.subjectindustrial design
dc.subjectinterior architecture
dc.subjectinterior art
dc.subjectinterior design
dc.subjectinteriors
dc.subjectplanning and design
dc.subjectproduct development
dc.titleThe Impact of Artificial Intelligence on Design Thinking in Interior Architecture : Fostering Creativity and Problem-Solving in a New Era
dc.typeThesis

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