Jonathan Dortheimer

Ariel University · School of Architecture

This paper critically reviews the evaluation methods employed in the Generative Urban Design (GUD) literature. The review reveals various evaluation methods, including human-based, performance-based, and statistical evaluation. An analysis of the evaluation methods shows that each approach has limitations, and none fully addresses the unique challe...

This paper explores the potential of chatbots, powered by large language models, as a tool for fostering community participation in architectural and urban design. By taking a hybrid approach to community participation in a real-world mixed-use building project, in which we integrated remote chatbot engagements with face-to-face workshops, we explo...

Recent advances in machine learning have enabled computers to converse with humans meaningfully. In this study, we propose using this technology to facilitate design conversations in large-scale urban development projects by creating chatbot systems that can automate and streamline information exchange between stakeholders and designers. To this en...

This study examines how architecture students use generative AI image generating models for architectural design. A workshop was conducted with 25 participants to create designs using three state-of-the-art generative diffusion models and BIM or 3D modeling software. Results showed that the participants found the image-generating models useful for...

Architectural design decisions are primarily made through an interaction between an architect and a client during the conceptual design phase. However, in larger-scale public architecture projects, the client is frequently represented by a community that embraces numerous stakeholders. The scale, social diversity, and political layers of such colle...

This paper envisions a pipeline for automating the generation of augmented reality tours of contested heritage sites while employing a critical approach toward the representation of history. Through the design of a generative pipeline, the paper identifies and discusses the potential and pitfalls associated with extracting spatial features from arc...

This research project proposes artificial intelligence (AI) tools to automate and scale design conversations with thotusands of end-users in a design project. From the point of view of PD, such a tool offers end-users the capability to influence and intervene in design decisions before and during the design process.

This study presents generative adversarial networks (GANs), a machine-learning technique that can be used as an urban design tool capable of learning and reproducing complex patterns that express the unique spatial qualities of non-planned settlements. We report preliminary experimental results of training and testing GAN models on different datase...

This study investigates how collective intelligence emerges in crowdsourcing for architectural design. Previous studies have revealed that collective intelligence emerges from collaboration and can outperform individual intelligence. As design is a highly collaborative practice, collective intelligence plays a vital role in the design process. In t...

Recent advancements in information technologies allow exploring new collaborative design methods. In this context, crowdsourcing emerges as an internet-based method that allows undefined crowds to collaborate in producing new information products. Crowdsourcing is achieved by disassembling a complex cognitive task into micro-tasks and relying on co...

This paper provides an overview of``Architasker'', a large-scale crowdsourcing approach, platform, and method that enables a collaborative professional architectural design process in collaboration with a community of stakeholders. The platform includes communicating complex architectural project requirements; solution space exploration using diffe...

Inspired by open-source and crowd sourcing technologies, the concept of ‘open-source architecture’ has been increasingly used to describe collaborative architectural design (CoDesign) in recent years. In this article, we aim to show that major related issues remain unresolved. As such, they limit the wider adaptation of open-source methods to the w...

Since the rise of the Open-Source crowed-sourcing technologies in the last decade, many have used the term " Open Source Architecture " to portray a collaborative architecture and planning practices (Fuller & Haque, 2008; Kaspori, 2003; Ratti et al., 2011; Ratti & Claudel, 2015; Salingaros, 2011). This term embodies influences from the software ind...

Since 2003, the concept of open-source in Architecture received different interpretations that have been inspired by the open-source revolution in the software industry. Despite the theoretical discourse, there are only a few open source projects while the open source methodology isn't common in architectural projects. The research reviewed the ope...