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	architectural_intelligence2023_16
id	architectural_intelligence2023_16
authors	Philip F. Yuan
year	2023
title	Toward a generative AI-augmented design era
doi	https://doi.org/https://doi.org/10.1007/s44223-023-00038-9
source	Architectural Intelligence Journal
summary	With the rapid development of Artificial Intelligence (AI), the relationship between humans and machines has become a significant concern. One view suggests that AI will possess subjectivity: Matias del Campo emphasises that, unlike traditional tools that teach machines how to perform, artificial intelligence teaches machines how to learn (Campo, 2022). According to him, AI has the capability and awareness to recognise the world; Neil Leach et al. argue that AI will replace the majority of architects, resulting in widespread unemployment (Leach, 2021). Other opinions hold that AI is unconscious, incapable of thought, and identical to tools such as cellular automata machines, parameterisation, etc. According to Mario Carpo, the data-driven AI employs iterative optimisation to solve problems, which must be quantifiable and amenable to optimisation. Therefore, AI’s role as a tool is limited to measurable phenomena and factors (Carpo, 2023).
series	Architectural Intelligence
email
last changed	2025/01/09 15:03

_id	sigradi2023_427
id	sigradi2023_427
authors	Trujillo, Juliana and Tramontano, Marcelo
year	2023
title	Culture Cartography Platform: collaborative process of mapping and debate
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1609–1620
summary	This article presents the implementation of the Cartografia da Cultura online collaborative platform in the city of Campo Grande, MS, Brasil, which sought to expand participation and collaboration in the processes of building public policies.The platform is the main experiment of the doctoral research entitled From the participatory city to the collaborative city: sharing decisions on on-line platforms, defended in September 2022. We present the criteria that guided us in the design and construction of the platform, supported by a collective work that lasted 20 months, whose main collaborator was the Municipal Cultural Forum of Campo Grande. The main functionalities of the platform are the mapping of cultural agents, dissemination of the agenda of events and environment for debate and decision-making, all with data fed by registered collaborators. Over 10 months, we observed the appropriation and use of the platform by the local community, in which the systematization of data allowed revealing the results and contributing to discussions related to online platforms for citizen participation.
keywords	Open source, Citizen participation, Online digital platform, Collaborative process, Social networks.
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	sigradi2023_508
id	sigradi2023_508
authors	Barber, Gabriela and Lafluf, Marcos
year	2023
title	Videomapping laboratory. Systematization of experiences 2016-2022
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 843–854
summary	This article synthesizes the result of a systematization and analysis of videomapping carried out in “Laboratorio de Visualización Digital Avanzada” in the period 2014-2022, taking as a source the information collected in the investigation "(Lafluf, 2020), it is updated by integrating new experiences and new interpretations. Likewise, the article aims to provide a structured way to describe and analyze videomapping projects, keeping in mind three axes: context project, mapping project, and mapping event. These categories refer to a strategy developed within the methodological framework of the master's thesis "Videomapping en los proyectos del Laboratorio de Visualización Digital Avanzada de la Facultad de Arquitectura Diseno y Urbanismo (Udelar). Caso de estudio: Videomapping Patrimonio Anglo" (Lafluf, 2020) as well as in other investigations to describe the videomapping. Once this set of videomapping projects has been presented, general considerations are made to analyze the surveyed cases.
keywords	New Media Art, video mapping, New Media, Architecture, Projection Mapping
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	sigradi2023_243
id	sigradi2023_243
authors	O. Oporto, Italo, Martínez Arias, Andrea and Villouta Gutierrez, Daniela
year	2023
title	Iluminación y configuración espacial: Una metodología de análisis íntegra: El caso del Servicio de Psiquiatría Guillermo Grant Benavente en Concepción, Chile.”
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 385–396
summary	Our everyday environment plays a significant role in shaping our social and emotional interactions. It has been empirically evidenced that natural daylight mitigates depression, insomnia, and other disorders (Weber, 2022). This resonates with the fact that individuals with disrupted circadian rhythms are more susceptible to mental health perturbations (Menculini et al., 2018). The current investigation delves into the correlation between luminosity and spatial configuration within the Guillermo Grantt Benavente Psychiatry Service in Concepción, Chile. The contention is that proficient spatial connectivity and exposure to natural daylight can potentially enhance therapeutic dimensions. The overarching objective is to comprehend this nexus for formulating an architectural design methodology. Specific objectives encompass: 1. Defining the communal spaces under scrutiny; 2. Analyzing luminosity and spatial attributes. The methodological approach encompasses a hybrid framework encompassing interviews, spatial analysis, and illuminance measurements. An intricate interrelationship among preferred spaces, illuminance, and spatial characteristics is anticipated.
keywords	Environment, Lighting, Space Syntax, Mental health, Psychiatric residence
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	architectural_intelligence2022_12
id	architectural_intelligence2022_12
authors	Matias del Campo
year	2022
title	Deep House - datasets, estrangement, and the problem of the new
doi	https://doi.org/https://doi.org/10.1007/s44223-022-00013-w
source	Architectural Intelligence Journal
summary	The purpose of this article is to discuss the application of artificial intelligence (AI) in the design of the Deep House project (Fig. 1), an attempt to use estrangement as a method to emancipate a house from a canonical approach to the progressive design of a one-family house project. The main argument in this text is that the results created by Artificial Neural Networks (ANNs), whether in the form of GANs, CNNs, or other networks, generate results that fall into the category of Estranged objects. In this article, I would like to offer a possible definition of what architecture in this plateau of thinking represents and how it differentiates from previous attempts to use estrangement to explain the phenomena observed when working with NNs in architecture design. A potpourri of thoughts that demonstrate the intellectual tradition of exploring estrangement, especially in theater and literature, that ultimately circles back to its implications for architecture, particularly in light of the application of AI.
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

_id	acadia22_256
id	acadia22_256
authors	Gerritsen, Patricia Duenas; Wissemann, Emily; García del Castillo y López, Jose Luis
year	2022
title	Designer Agency in 3D Packing of Irregular Material Stock
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 256-267.
summary	This paper presents a flexible computational method to simulate architectural design elements out of nonstandard and irregular sets of material stocks. This approach contributes to ongoing efforts to reduce material processing in common reuse strategies by developing a framework for human-machine design collaborations. Our three-dimensional packing method accepts as inputs user preferences with the goal of creating a framework for design that integrates creative decision-making, enabling architects to simulate and conceptualize alternative design schemes for material reuse
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	acadia22pr_148
id	acadia22pr_148
authors	Jung,, Francisco; Al Othman, Sulaiman; Im, Hyeonji Claire; García del Castillo y López, Jose Luis; Bechthold, Martin
year	2022
title	Responsive Spatial Print Trajectory: 3D Printing of Clay Lattices with Self-Corrective Recalibration
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. 148-153.
summary	This project presents a novel method of spatially printing clay lattices by controlling fabrication parameters such as the printing head speed and the material extrusion rate following a 3D-choreographed toolpath. Spatial printing refers to the unrestricted movement of the printer nozzle in three axes (x, y, z) when extruding material, as opposed to the conventional 2-axis layer-by-layer deposition that is very slow and results in increased operational costs. This method—enhanced with an integrated industrial laser displacement sensor to collect deflection data subsequently used to calibrate the next layer toolpath geometry in real- time—works optimally with carbon-fiber reinforcements for increased tensile performance.
series	ACADIA
type	project
email
last changed	2024/02/06 14:06

_id	sigradi2023_270
id	sigradi2023_270
authors	Asevedo, Laíze, Monteiro, Verner, Medeiros, Deisyanne, Rodrigues, Fernanda, Moura, Marcone and Rocha, Thuany
year	2023
title	Parameterization and Gamification in Descriptive Geometry Learning: One Study, Two Scenarios
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1047–1058
summary	Despite the complexity of parametric modeling, it is possible to apply it in educational context with a simpler approach. The COVID-19 pandemic increased the use of active methodologies in education. Gamification, particularly, should be emphasized regarding its association with parametric modeling. Post-pandemic scenario made possible the reinsertion of traditional practices, thus adding successful learning methods from online teaching. This paper aims to compare the adoption of parameterization and gamification to teach Descriptive Geometry on both teaching scenarios: online and presential. Two experiments were implemented to four Technical Drawing classes - A and B (2021), C and D (2022) -, in high school and technician level. The quantitative results addressed to the efficiency of parametric modeling as a didactic tool, and the qualitative results indicated that the students accepted the experiences of parameterization and gamification, on both scenarios. Nevertheless, there were subtle differences between the results from online and presential scenarios.
keywords	Online learning, presential learning, parameterization, gamification, descriptive geometry
series	SIGraDi
email
last changed	2024/03/08 14:08

_id	sigradi2023_219
id	sigradi2023_219
authors	Fiuza, Rebeca, Cardoso, Daniel, Moreira, Eugenio, Colares, Teresa, Freitas, Vitória and Paiva, Ricardo
year	2023
title	Correlations between urban and demographic data and COVID-19 data: a case study in Fortaleza, Brazil
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1667–1678
summary	COVID-19 was a sanitary crisis of international impact. However, its effects weren’t experienced equally. In Fortaleza, epidemiological reports (2021;2022) point to different infection patterns between high Human Development Index (HDI) and low HDI neighborhoods, which surfaced the hypothesis that certain territories’ characteristics could correlate to COVID-19 data. This article describes a phase of a three-phase research, whose objective is to identify correlations between urban and demographic (UD) data to COVID-19 data. To this, a literature review was done to select seven UD variables and four COVID-19 ones, then, Spearman’s correlation was applied in four pandemic time frames (TF). Results show that literacy rates, monthly income and energy have either low or moderate positive correlations with contamination rates in most TF. However, they’ve shown low or moderate correlations with lethality rates in three TF. Population density showed low positive correlations to either lethality rates or total number of deaths in three TF.
keywords	COVID-19, Urban Data, Demographic Data, Spearman's Coefficient Correlation, Public Health
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	ecaade2022_250
id	ecaade2022_250
authors	Garcia del Castillo y Lopez, Jose L.
year	2022
title	The Digital Touch - Towards novel modeling frameworks for robotically-enhanced marble sculpting
doi	https://doi.org/10.52842/conf.ecaade.2022.1.037
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. 37–46
summary	In this paper, two case studies on digital modeling for robotically-enabled marble carving are presented. In the first one, an interactive, gesture-based modeling framework was developed to sculpt a large, undulating and ultra-thin marble surface. On the second one, an integrated 3D-scanning-to-milling solution was created, in order to groove a superficial pattern on the surface of a discarded marble boulder. The cases evidence the power of tangible interaction to serve as input to novel digitally-aided marble sculpting processes, and the capacity of integrated generative design workflows to create consistent solutions to variable conditions, in this case, with a particular focus on sustainability and reclaiming of scrap materials.
keywords	Robotic Fabrication, Generative Design, Modeling, Sculpting
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_279
id	caadria2022_279
authors	Kim, Dongyun, Guida, George and Garcia del Castillo y Lopez, Jose Luis
year	2022
title	PlacemakingAI : Participatory Urban Design with Generative Adversarial Networks
doi	https://doi.org/10.52842/conf.caadria.2022.2.485
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. 485-494
summary	Machine Learning (ML) is increasingly present within the architectural discipline, expanding the current possibilities of procedural computer-aided design processes. Practical 2D design applications used within concept design stages are however limited by the thresholds of entry, output image fidelity, and designer agency. This research proposes to challenge these limitations within the context of urban planning and make the design processes accessible and collaborative for all urban stakeholders. We present PlacemakingAI, a design tool made to envision sustainable urban spaces. By converging supervised and unsupervised Generative Adversarial Networks (GANs) with a real-time user interface, the decision-making process of planning future urban spaces can be facilitated. Several metrics of walkability can be extracted from curated Google Street View (GSV) datasets when overlayed on existing street images. The contribution of this framework is a shift away from traditional design and visualization processes, towards a model where multiple design solutions can be rapidly visualized as synthetic images and iteratively manipulated by users. In this paper, we discuss the convergence of both a generative image methodology and this real-time urban prototyping and visualization tool, ultimately fostering engagement within the urban design process for citizens, designers, and stakeholders alike.
keywords	Machine Learning, Generative Adversarial Networks, user interface, real-time, walkability, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2023_369
id	sigradi2023_369
authors	Lima, Micaele, Aguiar, Beatriz Natália, Romcy, Neliza, Lima, Mariana and Cardoso, Daniel
year	2023
title	Systematization of Scientific Production of Extended Reality in Teaching and Design Process in Architecture and Urbanism
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1397–1408
summary	Extended Reality (XR) technologies have the potential to help and improve the teaching and design process in Architecture and Urbanism, as they offer different ways of perceiving and representing space and various functionalities. Therefore, it is important to systematize scientific production in this area. This research aims to identify and analyze the main applications of XR in teaching and in the design process in Architecture and Urbanism, as well as its benefits and limitations. A systematic literature review of publications on CumInCAD and SBTIC, from 2015 to 2022, was carried out. The results show the growing emphasis of XR as a medium that offers benefits both for teaching and design practice. However, there are still limitations to be overcome to make XR more inclusive. As a contribution, a greater understanding of how XR has been applied in teaching is provided along with a reflection on its impact on the means of representation in the design process.
keywords	Virtual reality, Augmented reality, Extended reality, Project Teaching, Architectural Project.
series	SIGraDi
email
last changed	2024/03/08 14:08

_id	caadria2022_472
id	caadria2022_472
authors	Perry, Gabriella and Garcia del Castillo y Lopez, Jose Luis
year	2022
title	Droop ‚ An Iterative Design Tool for Material Draping
doi	https://doi.org/10.52842/conf.caadria.2022.2.283
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. 283-292
summary	Advances in large-scale 3D printing technology have opened up explorations on novel non-solid, non-layered 3D printing techniques such as spatial lattices and material draping. These new printing techniques have potential to reduce the wasted material from printing support structures and optimize overall material use. However, due to the inherent material unpredictability of many of these systems, they are often difficult to approximate with digital tools, often requiring simple trial and error to achieve a specific result, with the consequent waste of time and resources. Droop is a work in progress material-informed simulation environment that serves as an iterative design tool for material draping fabrication processes. Droop explores the material potential of thermoplastics through the fabrication process of robotic draping to achieve complex linked catenary forms. This bespoke simulation environment approximates the spatial form of a material draping process and serves as a useful iterative design tool that allows designers to better understand and predict how a 2D pattern translates into a 3D droop form. The simulation also reduces the amount of wasted material produced by trial-and-error material draping processes. In this paper, we present the digital simulation framework, discuss methods for material-informed calibration, and show a set of experiments produced with this tool.
keywords	Material Draping, Physics Simulation, Additive Manufacturing, Robotic Fabrication, Catenary Geometry, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_297
id	caadria2022_297
authors	Zhou, Margaret Z., Chen, Shi Yu and Garcia del Castillo y Lopez, Jose Luis
year	2022
title	Elemental Motion in Spatial Interaction (EMSI): A Framework for Understanding Space through Movement and Computer Vision
doi	https://doi.org/10.52842/conf.caadria.2022.1.505
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. 505-514
summary	Spatial analysis and evaluation are becoming increasingly common as new technologies enable users, designers, and researchers to study spatial motion patterns without relying on manual notations for observations. While ideas related to motion and space have been studied in other fields such as industrial engineering, choreography, and computer science, the understanding of efficiency and quality in architectural spaces through motion has not been widely explored. This research applies techniques in computer vision to analyse human body motion in architectural spaces as a measure of experience and engagement. A taxonomy framework is proposed to categorize human motion components relevant to spatial interactions, for analysis through computer vision. A technical case study developed upon a machine-learning-aided model is used to test a selection of the proposed framework within domestic kitchen environments. This contribution adds further perspective to wider research explorations in the quality, inclusivity, engagement, and efficiency of architectural spaces through computer-aided tools.
keywords	Pose Estimation, Spatial Evaluation, Architectural Usability, Motion Studies, Computer Vision, SDG 3, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

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