Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2022_496
id	caadria2022_496
authors	Lim, Chor-Kheng
year	2022
title	Presence Stickers: A Seamlessly Integrated Smart Living System at a Solitary Elderly Home
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 445-454
doi	https://doi.org/10.52842/conf.caadria.2022.1.445
summary	This research develops Presence Stickers, the capacitive sensing module that can be easily affixed to the existing space element surfaces (such as a wall, door, stairs), and daily objects or home furniture (such as a chair, cabinet, table, sofa, etc.). These 30*30 cm Presence Stickers can actively sense people‚s physical behaviors and body movements in spaces. From the preliminary analysis of observing the 80-year-old elderly subject‚s daily activities, the movement trajectory of the ‚Move-Stop‚ pattern is found. There will be a Touch (T) and Touchless (TL) relationship between the body and the space elements or objects. Furthermore, the touchless, or non-contact, intimate relationship can also be divided into two types: 1. The body that ‚Passes by‚ (P) the spatial elements or objects, and 2. The body that ‚Stays‚ (S) in front of the object and performs activities. These three types of the intimate relationship between bodies and objects, i.e., T, TL-P, and TL-S, were used as the main sensing conditions to develop the Presence Stickers sensor module. We affixed 8 Presence Stickers on 9 objects in six spaces and finally, the life pattern can be analyzed and the sensors provide the customized intelligent application function for the elderly.
keywords	Intuitive Interaction Design, Capacitive Sensor, Daily Object, Touchless, Body Movement, Smart Home, SDG 3
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_199
id	caadria2022_199
authors	Yang, Qing, Cao, Chufan, Li, Haimiao, Qiu, Waishan, Li, Wenjing and Luo, Dan
year	2022
title	Quantifying the Coherence and Divergence of Planned, Visual and Perceived Streets Greening to Inform Ecological Urban Planning
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 565-574
doi	https://doi.org/10.52842/conf.caadria.2022.1.565
summary	This research attempts to combine the fields of urban planning, urban design and cognitive psychology, and propose three corresponding evaluation indicators for urban ecology, and further explore the coherence and divergence between them. This research defines land vegetation coverage, visibility of street green vegetation, and people's green perception as planned green, visual green and perceived green. Specifically, the three measures (i.e., planned, visual and perceived) refer to objectively extracting park lands and canopy areas from land use data, objectively extracting green pixels from street views, and subjectively collected through visual surveys. This study hypothesizes that there could exist large variation between the three measures, which would provide distinct implications for city planners. To test our hypothesis, this study selects Brisbane as the research area, effectively using computer deep learning, data visualization and mathematical statistics methods to achieve an accurate description of the three sets of data, and proposes a comprehensive evaluation of the urban ecological theory system. The results show the credibility and scope of application of the three types of greening, and quantitatively proposed and tested the relevant theories of urban design.
keywords	Urban Green Space, Urban Ecology, Street View Image, Green Perception, Subjective Measure, SDG 3, SDG 11, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_360
id	caadria2022_360
authors	McMeel, Dermott and Petrovic, Emina K.
year	2022
title	Architecture Value Change in Response to the Anthropocene: The Contribution of Digital Innovation
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 415-424
doi	https://doi.org/10.52842/conf.caadria.2022.2.415
summary	The confluence of different interests‚the Anthropocene, productivity, sustainability, economics‚calls for a need to re-think how the professions evaluate the built environment. There is a myriad of different strands of work under this umbrella which‚broadly‚point to a shift in the value framework for those people and professions who have agency in, and are responsible for, the creation of the built environment. This paper has two objectives. First, by drawing from the writing of architectural theorist Juhani Pallasmaa it teases out themes useful to conceptualise the value change. The goal is to delineate particular views around the creation of and our relation to the built environment. Second, it presents three projects: (1) tracking chemical composition of construction materials, (2) an app that encourages e-commerce in building multi-species environments, and (3) a concept for an economy in construction waste leveraging possibilities presented by blockchain technology. The aim is to shed light on how the emerging blockchain technology might alter values and organisational systems of the built environment in response to the Anthropocene and climate crisis.
keywords	Design, Anthropocene, Value Change, Blockchain, System Design, SDG 9, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ascaad2022_044
id	ascaad2022_044
authors	Shah, Syed; Petzold, Frank
year	2022
title	Research Data Management and a System Design to Semi-Automatically Complete Integrated Data Management Plans [Position Paper]
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 577-593
summary	Data is an integral part of modern scientific work. Good research data management (RDM) and the communication of the related information is extremely an important matter. It is not only crucial for the ongoing research and its claims but also for the future uses of data. In recent years some guiding principles, e.g. FAIR principles and initiatives at the national and international level, e.g. NFDI, NFDI4Ing have also been founded to improve RDM. The data and its metadata are often handled in file system like structures which are versioned and logged. The information relating to the data handling are documented in data management plan (DMP). DMPs are also usually managed in similar file structures. These are made available in editable document formats as well as online free-text editable forms to which users are required to keep updating manually. These are isolated documents which have neither direct relation to data for verification nor are common to understand with consistency. In this paper, research data management of large-scale interdisciplinary projects is presented. On one hand it introduces, contemporary practices of RDM and on the other hand it helps researchers to determine the features of RDM system in the situations when it comes to select or develop a system for the same purpose. It further introduces a system design for semi-automatic completion of DMP functions in collaborative environment a.k.a. virtual research environment (VRE). It is assumed that the proposed system will assist and enable users to update semi-automatically integrated DMP during all phases of data life cycle. Direct relation to the data for verification, common understanding and consistency will also be maintainable.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	ecaade2022_246
id	ecaade2022_246
authors	Dounas, Theodoros, Voeller, Elizabeth, Prokop, Simon and Vele, Jiri
year	2022
title	The Architecture Decentralised Autonomous Organisation - A stigmergic exploration in architectural collaboration
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 567–576
doi	https://doi.org/10.52842/conf.ecaade.2022.1.567
summary	We present “ArchiDAO”, a decentralised Autonomous Organisation, i.e an architecture studio run on via smart contracts on the Ethereum blockchain. The objective of the paper is to offer a concise framework for the transformation of the way architectural work is conducted, via stigmergic principles, realised on smart contracts. The paper follows a systematic review of the Viable System Model, collective authorship in architectural design and previous DAO software stacks to extract a set of stigmergic principles. We conclude the paper with a discussion and a proposal for a basic set of smart contracts that can regulate the ArchiDAO operations.
keywords	Blockchain, Organisational Design, Viable System Model, Stigmergy
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ascaad2022_066
id	ascaad2022_066
authors	Dounas, Theodoros; Lombardi, Davide; Vele, Jiri; Prokop, Simon
year	2022
title	A Crypto-Twin Framework for the AEC Industry: Enabling Digital Twins with Blockchain Technologies
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 674-687
summary	The paper describes a conceptual framework and the smart contract architecture for Crypto-Twins (CT) in the AEC industry, i.e. blockchain (BC) enabled digital twins. We describe the background, terminology of technologies involved, while the methodology follows design science research patterns to construct the framework and architecture of the Crypto-Twin. Further avenues for prototype development and validation of the framework are proposed in the conclusion.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	caadria2022_205
id	caadria2022_205
authors	Bielski, Jessica, Langenhan, Christoph, Ziegler, Christoph, Eisenstadt, Viktor, Dengel, Andreas and Althoff, Klaus-Dieter
year	2022
title	Quantifying the Intangible, A Tool for Retrospective Protocol Studies of Sketching During the Early Conceptual Design of Architecture
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 403-411
doi	https://doi.org/10.52842/conf.caadria.2022.1.403
summary	Sketching is a craft supporting the development of ideas and design intentions, as well as an effective tool for communication during the early architectural design stages by making them tangible. Even though sketch-based interaction is a promising approach for Computer-Aided Architectural Design (CAAD) systems, it remains a challenge for computers to recognise information in a sketch. Design protocol studies conducted to deconstruct the sketch and sketching process collect solely qualitative data so far. However, the 'metis' projects aim to create an intelligent design assistant, using an artificial neural network (ANN), in the manner of Negroponte‚s Architecture Machine. By assimilating to the user's idiosyncrasies, the system suggests further design steps to the architect to improve the design decision making process for economic growth, qualitative self-education through the dialogue and reducing stress. For training such ANN quantitative data is needed. In order to produce quantifiable results from such a study, we propose our open-source web-tool ‚Sketch Protocol Analyser‚. By correlating different parameters (i.e. video, transcript and sketch built) through the same labels and their timestamps, we create quantitative data for further use.
keywords	Design Protocol Studies, Sketching, Data Collection, Architectural Design Process, ANN, SDG 3, SDG 4, SDG 8, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_168
id	sigradi2022_168
authors	Koh, Immanuel
year	2022
title	Palette2Interior Architecture: From Syntactic and Semantic Colour Palettes to Generative Interiors with Deep Learning
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 187–198
summary	Colour palettes have long played a significant role in not only capturing design ambience (e.g., as mood boards), but more significantly, in translating an abstract intuition into an explicit ordering mechanism for design representation and synthesis, whether it is in the discipline of graphic design, interior design or architectural design. Might this difficult process of design synthesis from a low-dimensional colour input domain to a high-dimensional spatial design output domain be computationally mapped? Using today’s generative adversarial networks (GANs), the paper aims to investigate this plausibility, and in doing so, hoping to envision an AI-augmented design workflow and tooling. Newly-created datasets are made procedurally and used to train three different types of deep learning models in the specific context of generating living room interior layouts. The results suggest that a combination of syntactic and semantic generative processes is necessary for a critical appropriation of such AI models
keywords	Machine Learning, Artificial Intelligence, Deep Neural Networks, Colour Palette, Interior Design
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	ascaad2022_087
id	ascaad2022_087
authors	Mallasi, Zaki
year	2022
title	A Pixels-Based Design Approach for Parametric Thinking in Patterning Dynamic Facades
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 654-673
summary	In today’s Architectural design process, there has been considerable advancements in design computation tools that empowers designer to explore and configure the building façades schemes. However, one could formally argue that some processes are prescribed, lacks automation and are only for the purpose of visualizing the aesthetic design concepts. As a result, these design concept explorations are driven manually to exhibit variations between schemes. To overcome such limitations, the development presented here describes a proactive approach to incorporate parametric design thinking process and Building Information Modeling (BIM). This paper reports on an ongoing development in computational design and its potential application in exploring an interactive façade pattern. The objective is to present the developed approach for exploring façade patterns that responds parametrically to design-performance attractors. Examples of these attractors are solar exposure, interior privacy importance, and aesthetics. It introduces a paradigm-shift in the development of design tools and theory of parameterization in architecture. This work utilizes programming script to manipulate the logic behind placement of faced panels. The placement and sizes for the building facade 3D parametric panels react to variety of Analytical Image Data (AID) as a source for the design-performance data (e.g.: solar exposure, interior privacy importance, and aesthetics). Accordingly, this research developed the PatternGen(c) add-on in Autodesk ® Revit that utilizes a merge (or an overlay) of AID images as a source to dynamically pattern the building façade and generate the facade panels arrangement rules panels on the building exterior. This work concludes by a project case study assessment, that the methodology of applying AID would be an effective dynamic approach to patterning façades. A case-study design project is presented to show the use of the AID pixel-gradient range from Red, Green and Blue as information source value. In light of the general objectives in this study, this work highlights how future designers may shift to a hybrid design process.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	ecaade2022_47
id	ecaade2022_47
authors	Marsillo, Laura, Suntorachai, Nawapan, Karthikeyan, Keshava Narayan, Voinova, Nataliya, Khairallah, Lea and Chronis, Angelos
year	2022
title	Context Decoder - Measuring urban quality through artificial intelligence
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 237–246
doi	https://doi.org/10.52842/conf.ecaade.2022.2.237
summary	Understanding the quality of places during the early design process can improve design decision making and increase not only the chance of effective site development for the place and surroundings but also provide foresight to the mental, physical and environmental well-being of the future occupants. A context can be described differently depending on the designer's studies. However, in order to view the place holistically, various layers should be considered for a cross-disciplinary correlation. This paper proposes a prototypical tool to evaluate the quality of places using machine learning to help cluster and visualise design metrics according to the features provided. By selecting a location in a city, it offers other site contexts with similar characteristics and a similar level of complexity in relation to the surroundings. The tool was initially developed for Naples (Italy) as a case study city and incorporates key indicators related to connectivity of amenities, walkability, urban density, population density, outdoor thermal comfort, popular rate review and sentiment analysis from social media. With current open-source data, these indicators such as OpenStreetMap or social media sentiment can be collected with embedded geotags. These site-specific multilayers were evaluated under the metrics of 3 ranges i.e 400, 800 and 1,200-metre walking distance. This paper demonstrates the potential of using machine learning integrated with computational design tools to visualise the otherwise invisible data for users to interpret any context comprehensively in a holistic approach. Even though this tool is made for Naples, this tool can be extended to other cities across the world. As a result, the tool assists users in understanding not only site-specific location but also draws lines to other neighbourhoods within the city with a similar phenomenon of correlation between key performance indicators.
keywords	Computational Design, Urban Analysis, Machine Learning, Computer Vision, Sentiment Analysis
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ascaad2022_093
id	ascaad2022_093
authors	Ozden, Suedanur; Arslanturk, Esra; Senem, Mehmet; As, Imdat
year	2022
title	Gamification in Urban Planning: Experiencing the Future City
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 530-547
summary	Virtual Reality (VR) systems have been commonly used in the game and entertainment industries and are also increasingly explored in architecture and urban planning. They assist designers to communicate design ideas to a wider public and can engage them in the design processes. In this paper, we explore gaming environments to allow users to learn about smart city applications, such as innovative mobility approaches, urban farming, drone delivery, etc. The project is part of a real-world project for a future city for 50,000 inhabitants in the European side of Istanbul, Turkey. VR technologies can offer a testing ground for testing ideas, simulating performance, crowdsourcing ideas, before building the actual city physically. Gaming incentivizes citizens to participate in the design process, and the data collected provides a significant feedback loop to shape the city of the future. Citizens can immerse themselves in the VR environment, and experience the design via four circulation modes, e.g., walking, biking, driving, and flying. They allow users to explore novel circulatory approaches within new and innovative city arteries. Indeed, the design of the city accommodates a portfolio of mobility options, and the gamification allows testing pioneering designs, e.g., parallel streets for pedestrians, vehicles, etc. Furthermore, the game allows users to collect points when engaging in smart city topics, such as urban farming, solar energy usage, carbon neutrality, etc. Feedback loop that helps to iterate on the design. The project consists of three phases, a. an immersive VR version of the city experienced on head-mounted-displays, b. edutainment and the gamification of the city, and c. the integration of the digital version of the city into Meta’s multi-user space. In the paper, we present early findings of the project, the methods/tools explored, and discuss the utility of VR technologies in the design processes of architecture and urban planning.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	sigradi2022_169
id	sigradi2022_169
authors	Riquelme, Marianne; Martínez Arias, Andrea; Rivera Barraza, María Isabel
year	2022
title	The effects of vertical growth: Study of the right to solar access in residential areas. The case of Concepción, Chile.
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 1163–1174
summary	In Chile, the neoliberal economic model has intensified the densification process with few restrictions, giving rise to a prolific construction of high-rise multi-family buildings in low-density areas. The study uses a case of a high-rise housing complex that contrasts with local typologies and breaks the human scale in a traditional neighborhood (i.e., one story continues façade). The impact of shadow projections on its neighboring houses is calculated and duration according to the solar sun path. In addition, the effect on daylight availability in the residential units of the towers is analyzed. The results show that the tower's complex projects shade the neighborhood for up to 200m in winter. Also, a tower's daylighting autonomy decreases by 13% in lower floorplans because of the shades of its neighboring towers. It reflects how this form of high-rise housing affects a fundamental right: the right to the sun in its forms of radiation for passive heating in a heating-demanding climate zone and the potential for daylight harvesting for its own residential units.
keywords	Design, Nature and Ecosystems, shadow cones, high-rise residential, daylight, simulation
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	ecaade2022_233
id	ecaade2022_233
authors	Zhu, Zhelun, Coraglia, Ugo-Maria and Fioravanti, Antonio
year	2022
title	PASTA: Parametric Approach for Space Transplanet hAbitations - A generative powered design process for internal configurations in spaceships
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 47–56
doi	https://doi.org/10.52842/conf.ecaade.2022.2.047
summary	This paper focuses on the Space transplanet habitations, or spaceships, that will host astronauts during their transfer to other celestial bodies. In this enterprise, the transfer phase is the most critical in resource shortages (e.g., air, water, room), making it harsh under habitability perspectives. The increasing number of involved scientific disciplines has raised difficulties in managing the design process, and the traditional design strategies have collapsed under the growth of complexities. PASTA proposes an implementation of generative design for the spaceship's internal configurations. This framework focuses on the multi-objective and performance-driven design process, allowing a designer to explore multiple layouts of a complex 'building' such as a spaceship. It encodes habitability needs in an unusual environment and estimates each configuration performance among intertwined needs, including adjacency relationships, by an evaluation system. As a result, PASTA can automate part of the spaceship design tasks and provide decision-making support by evaluating generated solutions, improving the handling of complexities in the design process.
keywords	Space Architecture, Parametric Design, Generative Design, BIM
series	eCAADe
email
last changed	2024/04/22 07:10

_id	acadia22pr_64
id	acadia22pr_64
authors	Davis, Michael; Hurley, Daniel; Lawrence, Ben; Liu, Yinan; Print, Cristin; Rieger, Uwe; Robb, Tamsin; Windahl, Charlotta; Woodhouse, Braden
year	2022
title	XR Tumor Evolution Project - A Hybrid Architectural Space for Cancer Research
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 64-69.
summary	The Extended Reality Tumor Evolution Project (XRTEP) is a unique, real-world application of extended reality technology in cancer research. It is enabled by a rare inter-disciplinary collaboration between the School of Architecture and Planning, the Faculty of Medical and Health Sciences, and the Centre for E-Research at the University of Auckland
series	ACADIA
type	project
email
last changed	2024/02/06 14:04

_id	acadia22pr_106
id	acadia22pr_106
authors	Sabin, Jenny E.; Paraszczak, Michael; Pranger, Dillon; Hilla, John
year	2022
title	Convergence: Advancing Robotic Wire Arc Additive Manufacturing to the Architectural Scale in an Urban Context
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 106-111.
summary	Convergence celebrates the thriving, vibrant, and rich heritage of excellence of the University of Nebraska Medical Center through materialized concepts that embed change, transformation, and contemplation. The project incorporates the most advanced methods and innovations in digital and robotic fabrication with the integration of timeless and contextually sensitive materials that interact with the sun and human perception. The project features stainless steel wire arc additive manufacturing through robotic 3D printing, nonstandard CNC machined polycarbonate panels laminated with responsive wavelength-dependent dichroic film, and stainless-steel stiffener rings. Sited in the new Northwall Plaza, Convergence serves as the outdoor threshold to the buildings and the campus welcome center facilitating an ideal setting for conversations, fellowship, and engagement by students and faculty.
series	ACADIA
type	project
email
last changed	2024/02/06 14:06

_id	caadria2022_139
id	caadria2022_139
authors	Ataman, Cem, Tuncer, Bige and Perrault, Simon
year	2022
title	Asynchronous Digital Participation in Urban Design Processes: Qualitative Data Exploration and Analysis With Natural Language Processing
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 383-392
doi	https://doi.org/10.52842/conf.caadria.2022.1.383
summary	This paper aims to improve the usability of qualitative urban big data sources by utilizing Natural Language Processing (NLP) as a promising AI-based technique. In this research, we designed a digital participation experiment by deploying an open-source and customizable asynchronous participation tool, "Consul Project‚, with 47 participants in the campus transformation process of the Singapore University of Technology and Design (SUTD). At the end of the data collection process with several debate topics and proposals, we analysed the qualitative data in entry scale, topic scale, and module scale. We investigated the impact of sentiment scores of each entry on the overall discussion and the sentiment scores of each introduction text on the ongoing discussions to trace the interaction and engagement. Furthermore, we used Latent Dirichlet Allocation (LDA) topic modelling to visualize the abstract topics that occurred in the participation experiment. The results revealed the links between different debates and proposals, which allow designers and decision makers to identify the most interacted arguments and engaging topics throughout participation processes. Eventually, this research presented the potentials of qualitative data while highlighting the necessity of adopting new methods and techniques, e.g., NLP, sentiment analysis, LDA topic modelling, to analyse and represent the collected qualitative data in asynchronous digital participation processes.
keywords	Urban Design, Digital Participation, Qualitative Urban Data, Natural Language Processing (NLP), Sentiment Analysis, LDA Topic Modelling, SDG 10, SDG 11.
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_507
id	caadria2022_507
authors	Bolojan, Daniel, Vermisso, Emmanouil and Yousif, Shermeen
year	2022
title	Is Language All We Need? A Query Into Architectural Semantics Using a Multimodal Generative Workflow
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 353-362
doi	https://doi.org/10.52842/conf.caadria.2022.1.353
summary	This project examines how interconnected artificial intelligence (AI)-assisted workflows can address the limitations of current language-based models and streamline machine-vision related tasks for architectural design. A precise relationship between text and visual feature representation is problematic and can lead to "ambiguity‚ in the interpretation of the morphological/tectonic complexity of a building. Textual representation of a design concept only addresses spatial complexity in a reductionist way, since the outcome of the design process is co-dependent on multiple interrelated systems, according to systems theory (Alexander 1968). We propose herewith a process of feature disentanglement (using low level features, i.e., composition) within an interconnected generative adversarial networks (GANs) workflow. The insertion of natural language models within the proposed workflow can help mitigate the semantic distance between different domains and guide the encoding of semantic information throughout a domain transfer process.
keywords	Neural Language Models, GAN, Domain Transfer, Design Agency, Semantic Encoding, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_42
id	caadria2022_42
authors	Chen, Jielin and Stouffs, Rudi
year	2022
title	Robust Attributed Adjacency Graph Extraction Using Floor Plan Images
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 385-394
doi	https://doi.org/10.52842/conf.caadria.2022.2.385
summary	Architectural design solutions are intrinsically structured information with a broad range of interdependent scopes. Compared to conventional 2D Euclidean data such as orthographic drawings and perspectives, non-Euclidean data (e.g., attributed adjacency graphs) can be more effective and accurate for representing 3D architectural design information, which can be useful for numerous design tasks such as spatial analysis and reasoning, and practical applications such as floor plan parsing and generation. Thus, getting access to a matching attributed adjacency graph dataset of architectural design becomes a necessity. However, the task of conveniently acquiring attributed adjacency graphs from existing architectural design solutions still remains an open challenge. To this end, this project leverages state-of-the-art image segmentation techniques using an ensemble learning scheme and proposes an end-to-end framework to efficiently extract attributed adjacency graphs from floor plan images with diverse styles and varied levels of complexity, aiming at addressing generalization issues of existing approaches. The proposed graph extraction framework can be used as an innovative tool for advancing design research infrastructure, with which we construct a large-scale attributed adjacency graph dataset of architectural design using floor plan images retrieved in bulk. We have open sourced our code and dataset.
keywords	attributed adjacency graph, floor plan segmentation, ensemble learning, architectural dataset, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_194
id	ecaade2022_194
authors	Fuchkina, Ekaterina, Bielik, Martin, Schneider, Sven, Ossenberg-Engels, Tobias and Hämmerle, Alexander
year	2022
title	Space Matcher - An interactive toolbox for assisting in spatializing & testing office programmes using graph centralities
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 39–46
doi	https://doi.org/10.52842/conf.ecaade.2022.2.039
summary	Graph-based representations of functional requirements (adjacencies, bubble diagram) are a common and useful method that supports architects in the conceptual phase of planning. However, the task of specifying the functional requirements through an adjacency graph can be challenging due to a quadratic growth of complexity in relation to the number of spaces. In turn, this increase of complexity challenges the designer searching for solutions that fulfill these functional requirements. There are systems that aim to address the difficulties related to graph-based space allocation. They, for instance, use fuzzy logic to weight the edges of a graph (i.e., specify relations between spaces) and spring systems (Newtonian gravitation model) to visually clarify the resulting proximity of all spaces according to the rules. Nevertheless, the problem of specifying large-scale adjacencies itself is omitted due to the assumption that such matrices are correctly filled in some previous steps. Moreover, the translation of the resulting graph into a spatial configuration is rarely supported. This work addresses these limitations and proposes a set of tools to assist the designer when defining the adjacency requirements and searching for design solutions that fulfill these requirements. Our approach aims to reduce the complexity of the design task by using graph centrality-based design heuristics. We discuss these heuristics and show their application in a scenario where a new spatial program needs to be allocated into an existing building.
keywords	Graph Theory, Adjacency Graph, Bubble Diagram, Space Planning
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ecaade2022_184
id	ecaade2022_184
authors	Grasser, Alexander and Parger, Alexandra
year	2022
title	Blockchain Architectures, the Potential of Web3 for Decentralized Participatory Architecture - Collaborative objects on the Blockchain
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 431–440
doi	https://doi.org/10.52842/conf.ecaade.2022.1.431
summary	This paper explores the potential of blockchain technology and the Web3 for a decentralized participatory architecture. In this context, the polyvalent capacity of a block in a blockchain is at the center of this investigation. Blockchain innovations in cryptography and efficient block validation and creation systems have led to autonomous blocks that act as decentralized, transparent, and secure Web3 assets. Following our previous research on collaborative objects that enable real-time participatory design activities, a case study project H=N BLOCK+A is developed that implements blockchain principles at both the conceptual and infrastructural levels. At the conceptual level, architectural blocks are speculated and applied as autonomous and decentralized Web3 assets, i.e., a decentralized kit of parts/blocks/NFTs/applications that can form a crazy patchwork of heterogeneous compatible blocks. At the infrastructural level, an existing sustainable blockchain is facilitated to embed a decentralized design methodology that enables real-time participatory co-creation of a collective architectural form.
keywords	Collaborative Objects, Participation, Open Architecture, Blockchain, Web3
series	eCAADe
email
last changed	2024/04/22 07:10

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