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	sigradi2020_180
id	sigradi2020_180
authors	Cavalcanti, Isabella Eloy; Mendes, Leticia Teixeira
year	2020
title	Form and urban life in Christopher Alexander's work: translation of patterns for parametric code
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 180-187
summary	Computational design, specifically parametric modeling, has played important role in reaching complex forms, optimizations and automations of design processes. In addition to using parametric technology as a tool to generate form, this article aims to discuss the potential of parametric design as a connection between theory and design activity, both in practice and in the teaching activity. To illustrate that, this paper will present results of a bigger research that used the work of the architect Christopher Alexander as a basis for the development of decision-making instruments that deal with the complexity between form and urban life.
keywords	Urban design, Parametric modeling, Computational design, Christopher Alexander
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	caadria2020_423
id	caadria2020_423
authors	Erhan, Halil, Zarei, Maryam, Abuzuraiq, Ahmed M., Haas, Alyssa, Alsalman, Osama and Woodbury, Robert
year	2020
title	FlowUI: Combining Directly-Interactive Design Modeling with Design Analytics
doi	https://doi.org/10.52842/conf.caadria.2020.1.475
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 475-484
summary	In a systems building experiment, we explored how directly manipulating non-parametric geometries can be used together with a real-time parametric performance analytics for informed design decision-making in the early phases of design. This combination gives rise to a design process where considerations that would traditionally take place in the late phases of design can become part of the early phases. The paper presents FlowUI, a prototype tool for performance-driven design that is developed in a collaboration with our industry partner as part of our design analytics research program. The tool works with and responds to changes in the design modeling environment, processes the design data and presents the results in design (data) analytics interfaces. We discuss the system's design intent and its overall architecture, followed by a set of suggestions on the comparative analysis of design solutions and design reports generation as integral parts of design exploration tasks.
keywords	Non-Parametric Modeling; Performance-Driven Design; Design Analytics; Information Visualization
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2020_119
id	caadria2020_119
authors	Hsiao, Yuan Sung (Kris)
year	2020
title	A Comparison of Design Impact and Creativity in the Early Stage of Complex Building Design Processes
doi	https://doi.org/10.52842/conf.caadria.2020.1.345
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 345-354
summary	This paper applied empirical research, the evidence-based method, on the correlation between creativity and computing tools (parametric and nonparametric tools) for the design ideation stage of complex buildings like hospitals. The computer-based protocol analysis was set at observing two different groups of CAD architects worked in a small design task. Then the statistical tool, SPSS, was applied to explore the relationships of the different activities and the impact of design creativity on the design process. The research discovered that the numbers of idea generation had significant connecting to the parametric design process. Also, the users showed well-organised design decision making and better design cognition performance, such as strategical thought during the ideation stage. On the other hand, the nonparametric design users made fewer design ideas and did not appear clear ideation process in terms of some critical design decision making.
keywords	Algorithmic design; Design creativity; Complex building design; Hospital; Design cognition
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaade2020_052
id	ecaade2020_052
authors	Monteiro, Verner, Januário, Pedro and Veloso, Maísa
year	2020
title	Design collaboration towards constructibility in parametric design process - a design experiment with architecture students
doi	https://doi.org/10.52842/conf.ecaade.2020.1.305
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 305-314
summary	The use of parametric modeling in architectural design processes has made possible the creation of novel complex-shaped projects, but also launched new materialization challenges. This hard task addressed to a relevant need to comprehend the impact of constructibility on parametric design teaching. We analyzed how multicultural collaborative teams of students introduced construction constraints in parametric design processes, in an European architecture school. The method consisted of two design experiments with architecture students who designed a pavilion, starting from constraints such as time, material and pre-existences. The results addressed that the introduction of construction constraints since the early conceptual design stages conditioned the architectural shape, but also optimized time, decreased rework, and helped on decision-making. Despite the multiculturality, the students' lack of knowledge in construction methods indicated a high need for integration with engineering students and industry partners since graduation.
keywords	Parametric Design; Constructibility; Collaborative Design; Design Process
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2020_015
id	ecaade2020_015
authors	Yazici, Sevil
year	2020
title	A machine-learning model driven by geometry, material and structural performance data in architectural design process
doi	https://doi.org/10.52842/conf.ecaade.2020.1.411
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 411-418
summary	Artificial Intelligence (AI), based on interpretation of data, influences various professions including architectural design today. Although research on integrating conceptual design with Machine Learning (ML) algorithms as a subset of the AI has been investigated previously, there is not a framework towards integration of architectural geometry with material properties and structural performance data towards decision making in the early-design phase. Undertaking performance simulations require significant amount of computation power and time. The aim of this research is to integrate ML algorithms into design process to achieve time efficiency and improve design results. The proposed workflow consists of three stages, including generation of the parametric model; running structural performance simulations to collect the data, and operating the ML algorithms, including Artificial Neural Network (ANN), Non-Linear Regression (NLR) and Gaussian Mixture (GM) for undertaking different tasks. The results underlined that the system generates relatively fast solutions with accuracy. Additionally, ML algorithms can assist generative design processes.
keywords	Machine-learning; performance simulation; data-driven design; early-design phase
series	eCAADe
email
last changed	2022/06/07 07:57

_id	sigradi2020_112
id	sigradi2020_112
authors	Brandao, Jaqueline; Costa, Frederico Ribeiro; Silva, Geovany
year	2020
title	Morphological transformations in Brazilian peripheral areas: a case study of the Vila Cabral neighborhood at Campina Grande-PB
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 112-119
summary	This article describes an analysis of the morphological changes between 2005 and 2020 in the Vila Cabral neighborhood, located on the outskirts of the Brazilian city of Campina Grande. The research was developed in two different analytical scenarios, adopting the algorithmic- parametric computational implementation as a methodology, and applying the following procedures: (i) formal decomposition of a sample of the urban fabric; (ii) visibility graph analysis (VGA); (iii) analysis of the diversity of uses and (iv) analysis of urban density (populational and built). The study demonstrated that the association of different urban analysis tools strengthens decision-making in the context of evidence-based urban design.
keywords	Algorithmic-parametric urban analysis, Evidence-based design, Urban morphology, Campina Grande, Brazilian peripheral sprawl
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	cdrf2019_36
id	cdrf2019_36
authors	Dan Luo, Joseph M. Gattas, and Poah Shiun Shawn Tan
year	2020
title	Real-Time Defect Recognition and Optimized Decision Making for Structural Timber Jointing
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_4
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	Non-structural or out-of-grade timber framing material contains a large proportion of visual and natural defects. A common strategy to recover usable material from these timbers is the marking and removing of defects, with the generated intermediate lengths of clear wood then joined into a single piece of fulllength structural timber. This paper presents a novel workflow that uses machine learning based image recognition and a computational decision-making algorithm to enhance the automation and efficiency of current defect identification and rejoining processes. The proposed workflow allows the knowledge of worker to be translated into a classifier that automatically recognizes and removes areas of defects based on image capture. In addition, a real-time optimization algorithm in decision making is developed to assign a joining sequence of fragmented timber from a dynamic inventory, creating a single piece of targeted length with a significant reduction in material waste. In addition to an industrial application, this workflow also allows for future inventory-constrained customizable fabrication, for example in production of non-standard architectural components or adaptive reuse or defect-avoidance in out-of-grade timber construction.
series	cdrf
email
last changed	2022/09/29 07:51

_id	caadria2020_272
id	caadria2020_272
authors	Erhan, Halil, Abuzuraiq, Ahmed M., Zarei, Maryam, AlSalman, Osama, Woodbury, Robert and Dill, John
year	2020
title	What do Design Data say About Your Model? - A Case Study on Reliability and Validity
doi	https://doi.org/10.52842/conf.caadria.2020.1.557
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 557-567
summary	Parametric modeling systems are widely used in architectural design. Their use for designing complex built environments raises important practical challenges when composed by multiple people with diverse interests and using mostly unverified computational modules. Through a case study, we investigate possible concerns identifiable from a real-world collaborative design setting and how such concerns can be revealed through interactive data visualizations of parametric models. We then present our approach for resolving these concerns using a design analytic workflow for examine their reliability and validity. We summarize the lessons learnt from the case study, such as the importance of an abundance of test cases, reproducible design instances, accessing and interacting with data during all phases of design, and seeking high cohesion and decoupling between design geometry and evaluation components. We suggest a systematic integration of design modeling and analytics for enhancing a reliable design decision-making.
keywords	Model Reliability; Model Validity; Parametric Modeling; Design Analytics; Design Visualization
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaade2020_084
id	ecaade2020_084
authors	Grisiute, Ayda and Fricker, Pia
year	2020
title	From Systems to Patterns and Back - Exploring the spatial potential of dynamic patterns in the area of regional planning
doi	https://doi.org/10.52842/conf.ecaade.2020.2.095
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 95-104
summary	The main goal of this paper is to present a decision support tool that translates systemic thinking and dynamic patterns into an immersive computational design method and through improved communication and simulation of abstract and complex urban data enhances the planning processes dialogue between different stakeholders and supports decision-making processes. The author presents a multi-level immersive and tangible interface setup consisting of technical and conceptual elements that, as a whole, through the use of dynamic patterns visualise the interaction of distinctive agents in the Finnish Lapland. It addresses the lack of a holistic approach and incorporation of dynamic patterns in the planning process by proposing a decision support tool that uses the results from these investigations to inform decision-making in planning and design tasks.
keywords	System Thinking, Dynamic Patterns, Large-scale Planning Methods, Immersive Data-Interaction
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2020_034
id	ecaade2020_034
authors	Hamilton, William, Butler, Andrew, Gardner, Nicole, Haeusler, M. Hank, Ramos, Cristina and Zavoleas, Yannis
year	2020
title	Keeping up with the Code - Communicating the Decision Making History of Architectural Scripts
doi	https://doi.org/10.52842/conf.ecaade.2020.1.633
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 633-642
summary	As the architecture industry engages computational methods to automate and optimise design processes, decision-making becomes embedded and hidden within complex code. Even where employees understand the procedure and logic of architectural scripts they may struggle to understand those developed by others and used on different projects. Accordingly, this paper outlines the research and development of a workflow to trace and document the decision-making history (DMH) of architectural scripts. This develops the relational database Huginn to test the feasibility of tracing decision-making history in scripting through a Python Web framework that sends data in a JavaScript Object Notation (JSON) format from Grasshopper. The research outcomes successfully demonstrate a system that can link a series of objects to their 'decision' origins. This contributes to informing the development of theoretically-grounded coding protocols and simultaneously demystifying the complexity of architectural scripting and communicating the significance of data-augmented decision making within contemporary architectural design processes.
keywords	Automation in Architecture; Design Optimisation; Architectural Scripting; Decision Making History; Database; Visual Programming
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2020_156
id	ecaade2020_156
authors	Hemmerling, Marco and Maris, Simon
year	2020
title	INTERCOM - A platform for collaborative design processes
doi	https://doi.org/10.52842/conf.ecaade.2020.2.173
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 173-180
summary	The INTERCOM project propounds a cloud-based collaboration platform for digital planning processes in architecture. The concept is based on an openBIM approach and ensures open access for all partners involved. At its core it provides IFC-based and model-related online tools for planning, communication and collaboration. The interaction with the model and the exchange with other project partners takes place in real-time via a model-related chat and BCF exports. In addition, the integration of e-learning modules (e.g. video tutorials, wikis, project documents) encourages problem solving through further education. Especially the integration of communication and collaboration tools is supposed to enhance the decision making throughout the design process and become a key factor for a successful and coordinated BIM process. Primarily INTERCOM has been developed as a prototype for teaching BIM in interdisciplinary teams. Subsequently, the application can also be adopted for professional practice. The paper evaluates previous experiences from BIM cloud teaching and discusses the conception and development of the proposed collaborative platform.
keywords	architecture curriculum; didactics; building information modeling (BIM); collaborative design process; common data environment (CDE)
series	eCAADe
email
last changed	2022/06/07 07:49

_id	ecaade2020_036
id	ecaade2020_036
authors	Kamari, Aliakbar and Kirkegaard, Poul Henning
year	2020
title	Holistic Building Design - An integrated building design methodology based on systems thinking for reaching sustainability
doi	https://doi.org/10.52842/conf.ecaade.2020.1.505
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 505-514
summary	This paper introduces a new perspective on methodological requirements in building design related to questions of sustainability, where stakeholders ought to look at design in an integrated way when economy, society, and technical components are embedded in an ecological holistic perspective. To bind these different aspects together and face complexity, while the goal is to reach sustainability, Holistic Building Design (HBD) is drawn on existing concepts of systems thinking (ST), integrated design processes (IDP), and application of innovative technologies through building information modeling (BIM). The main aim of this approach is to involve deeper in all aspects of sustainable building design. The methodology is introduced and empirically practiced in a master's level course, and a general overview besides the first results of this on-going process are presented in this paper. It is observed that the HBD framework could significantly influence the understanding of the design process and enhancing it by iterative decision-making and turning the focus on the early design stage.
keywords	Sustainability; Systems thinking; Integrated Design Process; Building Information Modeling; Holistic Building Design; Complexity
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ijac202018407
id	ijac202018407
authors	Marcelo Bernal, Victor Okhoya, Tyrone Marshall, Cheney Chen and John Haymaker
year	2020
title	Integrating expertise and parametric analysis for a data-driven decision-making practice
source	International Journal of Architectural Computing vol. 18 - no. 4, 424–440
summary	This study explores the integration of expert design intuition and parametric data analysis. While traditional professional design expertise helps to rapidly frame relevant aspects of the design problem and produce viable solutions, it has limitations in addressing multi-criteria design problems with conflicting objectives. On the other hand, parametric analysis, in combination with data analysis methods, helps to construct and analyze large design spaces of potential design solutions and tradeoffs, within a given frame. We explore a process whereby expert design teams propose a design using their current intuitive and analytical methods. That design is then further optimized using parametric analysis. This study specifically explores the specification of geometric and material properties of building envelopes for two typically conflicting objectives: daylight quality and energy consumption. We compare performance of the design after initial professional design exploration, and after parametric analysis, showing consistently significant performance improvement after the second process. The study explores synergies between intuitive and systematic design approaches, demonstrating how alignment can help expert teams efficiently and significantly improve project performance.
keywords	Performance analysis, parametric analysis, design space, design expertise, data analysis, optimization
series	journal
email
last changed	2021/06/03 23:29

_id	ecaade2024_409
id	ecaade2024_409
authors	Zarzycki, Andrzej
year	2024
title	BIM-Driven Curriculum for Integrated Design Studios: Maintaining data interoperability and design flexibility
doi	https://doi.org/10.52842/conf.ecaade.2024.2.027
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 27–36
summary	This paper presents a curricular model for an integrated design studio focused on BIM-driven processes, satisfying the NAAB 2020's student performance criteria SC.5 and SC6. These criteria emphasize quantifiable, evidence-based design thinking by requiring the provision of "measurable environmental impacts" and "measurable outcomes of building performance." The studio, serving as a capstone project, integrates accessible design, user and regulatory requirements into building assemblies, structural and environmental systems, and life safety, underscoring the importance of measurable building performance outcomes. The adoption of computational design tools, particularly Building Information Modeling (BIM), facilitates engagement in environmental and user-focused simulations and ensures data interoperability throughout the design and post-occupancy phases. Utilizing a comprehensive set of tools, including life-cycle assessment (LCA) and energy modeling, the curriculum advances beyond simple simulations to support decision-making and multi-objective optimizations. This approach enables a new form of design thinking that incorporates a broader set of variables and considerations, encouraging students to meet various environmental impact and performance benchmarks, including LEED v.5 Certification points and Architecture 2030 energy standards. The integration of scenario simulation tools empowers students to autonomously advance their projects within a framework of constraints, marking a pedagogical shift towards faculty acting as learning facilitators and promoting student autonomy in design evaluation.
keywords	building information modeling, BIM, building performance simulations, design education
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2020_298
id	ecaade2020_298
authors	Zhang, Ye, Zhang, Kun, Chen, KaiDi and Xu, Zhen
year	2020
title	Source Material Oriented Computational Design and Robotic Construction
doi	https://doi.org/10.52842/conf.ecaade.2020.2.443
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 443-452
summary	The disconnection between architectural form and materiality has become an important issue in recent years. Architectural form is mainly decided by the designer, while material data, for example, the natural shape of source materials, is often treated as an afterthought which doesn't factor in decision-making directly. This study proposes a new, real-time scanning-modeling system for obtaining material information, and incorporating the data into a continuous digital chain of computational design and robotic construction. After collecting and visualizing the data, the calculation portion of the chain processes the selection of source materials and generates architectural geometry based on both human-designed rules and various shapes of materials. Finally, at the action end of the chain, an industry robot is used to fabricate the design. End-effector is designed for tightly gripping the irregular source materials. Scripts is written in Grasshopper for positioning the components and assemble them into configurations. This study also shows a pavilion developing with the continuous digital chain
keywords	scanning-modeling system; source material information; computational design; robotic construction
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2020_115
id	caadria2020_115
authors	Zhong, Jia Ding, Chao, Sara, Ming Chun and Tsou, Jin Yeu
year	2020
title	Establishing a Prediction Model for Better Decision Making Regarding Urban Green Planning in a High-density Urban Context
doi	https://doi.org/10.52842/conf.caadria.2020.1.517
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 517-526
summary	This paper presents a prototype of a prediction model. The model helps to improve decision making regarding urban green patch planning. This process is achieved by the model predicting the response of thermal comfort conditions in an urban green patch to different planning decisions. This process is demonstrated via an investigation of variations in urban density. The model features a surface temperature mapping approach, which assigns surface temperature data acquired through field-measurement to solid surfaces in CFD simulations based on the shading state. Besides, trees are simulated in a systematic way, and the model combines CFD simulations with PET values, the processes of which are also demonstrated in this paper.
keywords	Urban Green Planning; Decision Making; Thermal Comfort; CFD
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	sigradi2020_120
id	sigradi2020_120
authors	Álvarez, Natalia; Bernal, Marcelo; Cáceres, Katherine
year	2020
title	Evolution and Projection of Computational Design Theories: Generation, Analysis, Selection and Fabrication
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 120-127
summary	We can identify a milestone in computational design theories in the intersection between paradigms derived from theories of complexity and technological developments in the early 90’s. These theories provided the l foundation to build interpretation of the potential of the technology by adopting a language based on complexity to frame processes of generation, analysis, selection and manufacturing. To better understand the roots and direction of computational design theories, this study makes an in-depth literature review of four vectors involved in the formation of current dominant theoretical and technical approaches: theories of complexity, technological developments, professional practice and academia. The information collected is organized in chronological order in parallel timelines to facilitate readings exposing the intersections and synergies. The results show the emergence of theoretical approaches based on the convergence of theories and technologies, proof of concept in professional practice and consolidation in academia.
keywords	Generative Design, Performance Analysis, Data Analysis, Decision Making & Fabrication
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	sigradi2020_143
id	sigradi2020_143
authors	Mariano, Pedro Oscar Pizzetti; Pereira, Alice Theresinha Cybis
year	2020
title	Parametric Design Process of Facade Elements with Characteristics of Fractal Geometry: Development, Evaluation and Application
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 143-148
summary	This article deals with the use of the characteristics of fractal linear geometry and the different knowledge related to the application of its patterns in architectural elements, considering their compositional potentialities. For this, a theoretical and practical trajectory was developed, such as understanding the characteristics of fractal geometry and the existing software and methods for its reproduction. As a result, a parametric process was developed that allows to recreate fractal patterns in architectural elements, making it possible to identify the necessary steps for their elaboration, identifying the potentialities of their use and the skills necessary to reproduce similar parametric processes.
keywords	Fractal geometry, Dimension D, Parametric process, Design Process
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	acadia20_350
id	acadia20_350
authors	Atanasova, Lidia; Mitterberger, Daniela; Sandy, Timothy; Gramazio, Fabio; Kohler, Matthias; Dörfler, Kathrin
year	2020
title	Prototype As Artefact
doi	https://doi.org/10.52842/conf.acadia.2020.1.350
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 350-359.
summary	In digital design-to-fabrication workflows in architecture, in which digitally controlled machines perform complex fabrication tasks, all design decisions are typically made before production. In such processes, the formal definition of the final shape is explicitly inscribed into the design model by means of corresponding step-by-step machine instructions. The increasing use of augmented reality (AR) technologies for digital fabrication workflows, in which people are instructed to carry out complex fabrication tasks via AR interfaces, creates an opportunity to question and adjust the level of detail and the nature of such explicit formal definitions. People’s cognitive abilities could be leveraged to integrate explicit machine intelligence with implicit human knowledge and creativity, and thus to open up digital fabrication to intuitive and spontaneous design decisions during the building process. To address this question, this paper introduces open-ended Prototype-as-Artefact fabrication workflows that examine the possibilities of designing and creative choices while building in a human-robot collaborative setting. It describes the collaborative assembly of a complex timber structure with alternating building actions by two people and a collaborative robot, interfacing via a mobile device with object tracking and AR visualization functions. The spatial timber assembly being constructed follows a predefined grammar but is not planned at the beginning of the process; it is instead designed during fabrication. Prototype-as-Artefact thus serves as a case study to probe the potential of both intuitive and rational aspects of building and to create new collaborative work processes between humans and machines.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_808
id	sigradi2020_808
authors	Aune, Karen
year	2020
title	Techno-aesthetic spaces of fiction: Lapsus Tropicus and the Anthropocene dialetic
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 808-815
summary	This paper is derived from a research through the creative practice, that aims at the conception of an artwork that reflects on the relationship between the human being, technology and nature. This is shown through the creation process of Lapsus Tropicus, an installation whose origin lies in the hypothesis of what would happen if a glitch -a computer error - began to transform a specific ecosystem. The research took into account the conceptual, formal and technical aspects of an artistic process that dialogues with references such as art, design, architecture, science fiction and key historical moments in the development of science.
keywords	Art, Science, Technology, Parametric design, Science fiction
series	SIGraDi
email
last changed	2021/07/16 11:53

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