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	ecaade2018_219
id	ecaade2018_219
authors	Bai, Nan, Ye, Wenqia, Li, Jianan, Ding, Huichao, Pienaru, Meram-Irina and Bunschoten, Raoul
year	2018
title	Customised Collaborative Urban Design - A Collective User-based Urban Information System through Gaming
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 419-428
doi	https://doi.org/10.52842/conf.ecaade.2018.1.419
summary	As we step into a new data-based information age, it is important to get citizens involved in the whole design process. Our research tries to build up a user-based urban information system by collecting the data of neighborhood land use preference from all the residents through gaming. The result of each individual decision will be displayed in real time using Augmented Reality technology, while the collective decision dataset will be stored, analyzed and learnt by computer, forming an optimal layout that meets the highest demand of the community. A pre-experiment has been conducted in a. an abstract virtual site and b. an existing site by collecting opinions from 122 participants, which shows that the system works well as a new method for collaborative design. This system has the potential to be applied both in realistic planning processes, as a negotiation toolkit, and in virtual urban forming, in the case of computer games or space colonization.
keywords	Collaborative Design; Customization; Urban Design; Gaming; Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2018_1359
id	sigradi2018_1359
authors	Bertola Duarte, Rovenir; Ziger Dalgallo, Ayla; Consalter Diniz, Maria Luisa; Romão Magoga, Thais
year	2018
title	A window to the autism: the political role of the difference of an objectile in the homogeneous school
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 848-853
summary	This paper approaches the insertion of an objectile in the homogeneous space of a school, looking to bring flexibility and responsiveness to assist a user with Autism Spectrum Disorder (ASD). The research concerns with photosensitivity, a problem faced by almost 25% of the children with autism (Miller-Horn; Spence; Takeoka, 2011). The study is based on the theories for ASD environments that speak of ‘sensorial perception’ and ‘thinking with imagery’ (Mostafa, 2008), and the coexistence of Sensory Design Theory and Neuro-Typical Method (Pomana, 2015). The result consists of a gadget developed in MIT App Inventor tool and a curtain that interact responsively through an Arduino code, for a new connection between the user and his surroundings.
keywords	Objectile; Responsive Architecture; Architecture and autism; ASD; Inclusive school
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ascaad2023_083
id	ascaad2023_083
authors	Borges, Marina; Karantino, Lucas; Gorges, Diego
year	2023
title	Walkability: Digital Parametric Process for Analyzing and Evaluating Walkability Criteria in Peripheral Central Regions of Belo Horizonte
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 293-304.
summary	According to one of the Sustainable Development Goals (UN, 2018), it is important for cities to be inclusive, safe, resilient, and sustainable. Therefore, it is necessary to prioritize pedestrians and promote active mobility, giving them priority and encouraging walking, as presented in the concepts of TOD (Transit-Oriented Development). Although the master plan suggests that areas located in the regional centrality of Belo Horizonte are enhancing active mobility, residents may still need to use individual or public transportation due to long distances when accessing basic services on foot. In peripheral areas of the city of Belo Horizonte, are there favorable walkability conditions for the residents? Thus, the aim of this research is to use digital technologies to investigate, through a parametric performative model, the quality of the existing routes, with a focus on the peripheral areas of the city. Based on the results obtained, it will be possible to conclude whether there are discrepancies between what is presented in the master plan and, ultimately, to identify potential solutions for the area based on metrics that qualify and enhance active mobility. These solutions may vary according to the specific needs of the location.
series	ASCAAD
email
last changed	2024/02/13 14:40

_id	acadia18_424
id	acadia18_424
authors	Bucklin, Oliver; Drexler, Hans; Krieg, Oliver David; Menges, Achim
year	2018
title	Integrated Solid Timber. A multi-requisite system for the computational design,fabrication, and construction of versatile building envelopes
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 424-433
doi	https://doi.org/10.52842/conf.acadia.2018.424
summary	The paper presents the development of a building system made from solid timber that fulfils the requirements of modern building skins while expanding the design possibilities through innovation in computational design and digital fabrication. Multiple strategies are employed to develop a versatile construction system that generates structure, enclosure and insulation while enabling a broad design space for contemporary architectural expression. The basic construction unit augments the comparatively high insulation values of solid timber by cutting longitudinal slits into beams, generating air chambers that further inhibit thermal conductivity. These units are further enhanced through a joinery system that uses advanced parametric modeling and computerized control to augment traditional joinery techniques. Prototypes of the system are tested at a building component level with digital models and physical laboratory tests. It is further evaluated in a demonstrator building to test development and further refine design, fabrication and assembly methods. Results are integrated into proposals for new methods of implementation. The results of the research thus far demonstrate the validity of the strategy, and continuing research will improve its viability as a building system.
keywords	full paper, materials and adaptive systems, digital fabrication, digital craft
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	acadia18_404
id	acadia18_404
authors	Clifford, Brandon; McGee, Wes
year	2018
title	Cyclopean Cannibalism. A method for recycling rubble
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 404-413
doi	https://doi.org/10.52842/conf.acadia.2018.404
summary	Each year, the United States discards 375 million tons of concrete construction debris to landfills (U.S. EPA 2016), but this is a new paradigm. Past civilizations cannibalized their constructions to produce new architectures (Hopkins 2005). This paper interrogates one cannibalistic methodology from the past known as cyclopean masonry in order to translate this valuable method into a contemporary digital procedure. The work contextualizes the techniques of this method and situates them into procedural recipes which can be applied in contemporary construction. A full-scale prototype is produced utilizing the described method; demolition debris is gathered, scanned, and processed through an algorithmic workflow. Each rubble unit is then minimally carved by a robotic arm and set to compose a new architecture from discarded rubble debris. The prototype merges ancient construction thinking with digital design and fabrication methodologies. It poses material cannibalism as a means of combating excessive construction waste generation.
keywords	full paper, cyclopean, algorithmic, robotic fabrication, stone, shape grammars, computation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	ecaade2018_255
id	ecaade2018_255
authors	Danesh, Foroozan, Baghi, Ali and Kalantari, Saleh
year	2018
title	Programmable Paper Cutting - A Method to Digitally Fabricate Transformable, Complex Structural Geometry
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 489-498
doi	https://doi.org/10.52842/conf.ecaade.2018.2.489
summary	This paper presents a computational approach to generating architectural forms for large spanning structures based on a "paper-cutting" technique. Using this approach, a flat sheet is cut and scored in such a way that a small application of force prompts it to expand into a three-dimensional structure. Our computational system can be used to estimate optimal cutting patterns and to predict the resulting structural characteristics, thereby providing greater rigor to what has previously been an ad-hoc and experimental design approach. To develop the model, we analyzed paper-cutting techniques, extracted the relevant formative parameters, and created a simulation using finite element analysis. We then used a data-mining approach through 400 simulations and applied a regression analysis to create a prediction model. Given a small number of input variables from the designer, this model can rapidly and precisely predict the transformation volume of a paper-cutting pattern. Additional structural characteristics will be modelled in future work. The use of this tool makes paper-cut design approaches more practical by changing a non-systematic, labor-intensive design process into a more precise and efficient one.
keywords	Paper-cut?; Transformable geometry; Design method; Model prediction; Data mining; Regression analysis
series	eCAADe
email
last changed	2022/06/07 07:55

_id	sigradi2018_1261
id	sigradi2018_1261
authors	de Mendonça Peixoto, Irene; de Souza, Felipe; de Pontes, José Carlos
year	2018
title	Artist´s book Poor Fish Memories in digital version
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 1098-1104
summary	The passages and combinations between analog and digital languages point to issues that have persisted for decades and which continue to foster contemporary, ethical and aesthetic debates about experience and temporality. Problematizing these questions, we extend the discussion to the importance of contemporary design to adopt creative strategies that articulate thoughts from other areas of knowledge, such as philosophy and art, from the perspective of multiplicity of mediums. The intention is to oxygenate classic design issues, such as conception, form creation, and user interaction, through the provocative sensory and temporal displacements that artistic creation promotes.
keywords	Art; Design; Aesthetic experience; Temporality
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ijac201816201
id	ijac201816201
authors	Harding, John and Cecilie Brandt-Olsen
year	2018
title	Biomorpher: Interactive evolution for parametric design
source	International Journal of Architectural Computing vol. 16 - no. 2, 144-163
summary	Combining graph-based parametric design with metaheuristic solvers has to date focused solely on performance-based criteria and solving clearly defined objectives. In this article, we outline a new method for combining a parametric modelling environment with an interactive Cluster-Orientated Genetic Algorithm. In addition to performance criteria, evolutionary design exploration can be guided through choice alone, with user motivation that cannot be easily defined. As well as numeric parameters forming a genotype, the evolution of whole parametric definitions is discussed through the use of genetic programming. Visualisation techniques that enable mixing small populations for interactive evolution with large populations for performance-based optimisation are discussed, with examples from both academia and industry showing a wide range of applications.
keywords	Design exploration, genetic programming, human–computer interaction, interactive genetic algorithms, k-means clustering, parametric design
series	journal
email
last changed	2019/08/07 14:03

_id	caadria2018_162
id	caadria2018_162
authors	Hawton, Dominic, Cooper-Wooley, Ben, Odolphi, Jorke, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	Shared Immersive Environments for Parametric Model Manipulation - Evaluating a Workflow for Parametric Model Manipulation from Within Immersive Virtual Environments
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 483-492
doi	https://doi.org/10.52842/conf.caadria.2018.1.483
summary	Virtual reality (VR) and augmented reality (AR) provide designers with new visual mediums through which to communicate their designs. There is great potential for these mediums to positively augment current visual communication methods by improving remote collaboration. Enabling designers to interact with familiar computational tools through external virtual interfaces would allow them to both calibrate design parameters and visualise parametric outcomes from within the same immersive virtual environment. The current research outlines a workflow for parametric manipulation and mesh replication between immersive applications developed in the Unity game engine and McNeel's Grasshopper plugin. This paper serves as a foundation for future research into integrating design tools with external VR and AR applications in an effort of enhancing remote collaborative designs.
keywords	Augmented Reality; Virtual Reality; Parametric Design; Procedural; Grasshopper
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
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. 382-393.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2018_044
id	caadria2018_044
authors	Inoue, Kazuya, Fukuda, Tomohiro, Cao, Rui and Yabuki, Nobuyoshi
year	2018
title	Tracking Robustness and Green View Index Estimation of Augmented and Diminished Reality for Environmental Design - PhotoAR+DR2017 project
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 339-348
doi	https://doi.org/10.52842/conf.caadria.2018.1.339
summary	To assess an environmental design, augmented and diminished reality (AR/DR) have a potential to build a consensus more smoothly through the landscape simulation of new design visualization of the items to be assessed, such as the green view index. However, the current system is still considered to be impractical because it does not provide complete user experience. Thus, we aim to improve the robustness of the AR/DR system and to integrate the estimation of the green view index into the AR/DR system on a game engine. Further, we achieve an improved stable tracking by eliminating the outliers of the tracking reference points using the random sample consensus (RANSAC) method and by defining the tracking reference points over an extensive area of the AR/DR display. Additionally, two modules were implemented, among which one module is used to solve the occlusion problem while the other is used to estimate the green view index. The novel integrated AR/DR system with all modules was developed on the game engine. A mock design project was developed in an outdoor environment for simulation purposes, thereby verifying the applicability of the developed system.
keywords	Environmental Design; Augmented Reality (AR); Diminished Reality (DR); Green View Index; Segmentation
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	sigradi2018_1875
id	sigradi2018_1875
authors	Kalantari, Cruze-Garza; Banner, Pamela; Contreras-Vidal, Jose Luis
year	2018
title	Computationally Analyzing Biometric Data and Virtual Response Testing in Evaluating Learning Performance of Educational Setting Through
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 390-396
summary	Due to construction costs, the human effects of innovations in architectural design can be expensive to test. Post-occupancy studies provide valuable data about what did and did not work in the past, but they cannot provide direct feedback for new ideas that have not yet been attempted. This presents designers with something of a dilemma. How can we harness the best potential of new technology and design innovation, while avoiding costly and potentially harmful mistakes? The current research use virtual immersion and biometric data to provide a new form of extremely rigorous human-response testing prior to construction. The researchers’ hypothesis was that virtual test runs can help designers to identify potential problems and successes in their work prior to its being physically constructed. The pilot study aims to develop a digital pre-occupancy toolset to understand the impact of different interior design variables of learning environment (independent variables) on learning performance (dependent variable). This project provides a practical toolset to test the potential human impacts of architectural design innovations. The research responds to a growing call in the field for evidence-based design and for an inexpensive means of evaluating the potential human effects of new designs. Our research will address this challenge by developing a prototype mobile brain-body imaging interface that can be used in conjunction with virtual immersion.
keywords	Signal Processing; Brain; EEG; Virtual Reality; Big Data; Learning Performance
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia18_118
id	acadia18_118
authors	Kalantari, Saleh; Contreras-Vidal, Jose Luis; Smith, Joshua Stanton; Cruz-Garza, Jesus; Banner, Pamela
year	2018
title	Evaluating Educational Settings through Biometric Data and Virtual Response Testing
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 118-125
doi	https://doi.org/10.52842/conf.acadia.2018.118
summary	The physical design of the learning environment has been shown to contribute significantly to student performance and educational outcomes. However, the existing literature on this topic relies primarily on generalized observations rather than on rigorous empirical testing. Broad trends in environmental impacts have been noted, but there is a lack of detailed evidence about how specific design variables can affect learning performance. The goal of this study was to apply a new approach in examining classroom design innovations. We developed a protocol to evaluate the effectiveness of classroom designs by measuring the physical responses of study participants as they interacted with different designs using a virtual reality platform. Our hypothesis was that virtual “test runs” can help designers to identify potential problems and successes in their work prior to its being physically constructed. The results of our initial pilot study indicated that this approach could yield important results about human responses to classroom design, and that the virtual environment seemed to be a reliable testing substitute when compared against real classroom environments. In addition to leading toward practical conclusions about specific classroom design variables, this project provides a new kind of research method and toolset to test the potential human impacts of a wide variety of architectural innovations.
keywords	work in progress, signal processing, eeg, virtual reality, big data, learning performance
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	ecaade2018_111
id	ecaade2018_111
authors	Khean, Nariddh, Fabbri, Alessandra and Haeusler, M. Hank
year	2018
title	Learning Machine Learning as an Architect, How to? - Presenting and evaluating a Grasshopper based platform to teach architecture students machine learning
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 95-102
doi	https://doi.org/10.52842/conf.ecaade.2018.1.095
summary	Machine learning algorithms have become widely embedded in many aspects of modern society. They have come to enhance systems, such as individualised marketing, social media services, and search engines. However, contrasting its growing ubiquity, the architectural industry has been comparatively resistant in its adoption; objectively one of the slowest industries to integrate with machine learning. Machine learning expertise can be separate from professionals in other fields; however, this separation can be a major hinderance in architecture, where interaction between the designer and the design facilitates the production of favourable outcomes. To bridge this knowledge gap, this research suggests that the solution lies with architectural education. Through the development of a novel educative framework, the research aims to teach architecture students how to implement machine learning. Exploration of student-centred pedagogical strategies was used to inform the conceptualisation of the educative module, which was subsequently implemented into an undergraduate computational design studio, and finally evaluated on its ability to effectively teach designers machine learning. The developed educative module represents a step towards greater technological adoption in the architecture industry.
keywords	Artificial Intelligence; Machine Learning; Neural Networks; Student-Centred Learning; Educative Framework
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2018_158
id	caadria2018_158
authors	Koh, Immanuel
year	2018
title	Learning Design Trends from Social Networks - Data Mining, Analysis & Visualization of Grasshopper® Online User Community
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 277-286
doi	https://doi.org/10.52842/conf.caadria.2018.2.277
summary	The paper has demonstrated that the increasingly online relationship between designers and their digital tools can be quantitatively represented, described and analyzed through the data-mining of design-domain specific and tool-based social network (i.e. Grasshopper3D). It explores design trends' correlations based on network user groups' size, users' demographics, nodes' degree centrality and discussion threads' popularity.
keywords	Social Networks; Design Trends; Big Data; Parametric Design Tools; Data Visualization
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2018_302
id	caadria2018_302
authors	Lee, Alric, Tei, Hirokazu and Hotta, Kensuke
year	2018
title	Body-Borne Assistive Robots for Human-Dependent Precision Construction - The Compensation of Human Imprecision in Navigating 3-Dimensional Space with a Stand-Alone, Adaptive Robotic System
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 545-554
doi	https://doi.org/10.52842/conf.caadria.2018.1.545
summary	The rapid growth of complex contemporary architecture design, contributed by the advance in parametric CAD/CAM software, is accompanied by challenges in the production process; it demands both highly trained workers and technical equipments. This paper reviews current technologies in robotics-aided construction and wearable computers for generic purposes, and proposes the design of a robotic device for construction guidance. It guides the user, the worker, through the assembly process of precision modular constructions, by providing procedural mechanical or haptic assistance in the 3-dimensional positioning of building components. The device is designed to be wearable, portable, and operable as a completely stand-alone system that requires no external infrastructure. A prototype of the device is tested with a mock-up masonry construction experiment, the result of which is reported in this paper, along with discussion for future improvement and application opportunities within the context of highly developed, condensed Japanese urban environments. A greater objective of this paper is to bridge current studies in Human-Computer Interaction (HCI) and digital fabrication in architecture and promote the potentials of human workers in future construction scenes.
keywords	digital fabrication; human-computer interaction; 3d positioning; wearable robotics; guided construction
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2018_323
id	ecaade2018_323
authors	Newton, David
year	2018
title	Multi-Objective Qualitative Optimization (MOQO) in Architectural Design
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 187-196
doi	https://doi.org/10.52842/conf.ecaade.2018.1.187
summary	Architectural design problems are often multi-objective in nature, involving both qualitative and quantitative objectives. Previous research has focused exclusively on the development of multi-objective optimization algorithms that work with multiple quantitative objectives. No previous research has looked at the topic of multi-objective qualitative optimization (MOQO), in which multiple qualitative objectives are optimized simultaneously. This research addresses MOQO through the development of a unique multi-objective optimization algorithm for the conceptual design phase that uses three-dimensional convolutional neural networks (3D CNNs) to measure user-defined qualities in architectural massing models.
keywords	multi-objective optimization; generative design; multi-objective qualitative optimization; algorithmic design
series	eCAADe
email
last changed	2022/06/07 07:58

_id	caadria2022_278
id	caadria2022_278
authors	Ortner, F. Peter and Tay, Jing Zhi
year	2022
title	Optimizing Design Circularity: Managing Complexity in Design for Circular Economy Through Single and Multi-Objective Optimisation
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. 191-200
doi	https://doi.org/10.52842/conf.caadria.2022.1.191
summary	This paper advances the application of computational optimization to design for circular economy (CE) by comparing results of scalarized single-objective optimization (SOO) and multi-objective optimization (MOO) to a furniture design case study. A framework integrating both methods is put forward based on results of the case study. Existing design frameworks for CE emphasize optimization through an iterative process of manual assessment and redesign (Ellen MacArthur Foundation, 2015). Identifying good design solutions for CE, however, is a complex and time-consuming process. Most prominent CE design frameworks list at least nine objectives, several of which may conflict (Reike et al., 2018). Computational optimization responds to these challenges by automating search for best solutions and assisting the designer to identify and manage conflicting objectives. Given the many objectives outlined in circular design frameworks, computational optimisation would appear a priori to be an appropriate method. While results presented in this paper show that scalarized SOO is ultimately more time-efficient for evaluating CE design problems, we suggest that given the presence of conflicting circular design objectives, pareto-set visualization via MOO can initially better support designers to identify preferences.
keywords	Design for Circular Economy, Computational Optimisation, Sustainability, Design Optimisation, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2018_232
id	caadria2018_232
authors	Poustinchi, Ebrahim, Wang, Shengmian and Luhan, Gregory
year	2018
title	No Keyboard, No Mouse - Hybrid Digital-Analog Hardware Design for Enhancing Design UI and UX
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 535-544
doi	https://doi.org/10.52842/conf.caadria.2018.1.535
summary	This paper presents a mixed-method research design investigation that integrates a Hybrid Digital-Analog Software-Hardware protocol referred to as the No Keyboard, No Mouse (NK-NM) platform. The NK-NM process uses both theoretical and applied research mechanisms to measure its influence on architectural design decision-making, knowledge exchange, student learning, aesthetics, and user experience in the context of an undergraduate architectural design studio. Observing a recognized gap in the current digital architectural design environments this paper details how the NK-NM protocol bridges this gap through an instructed hierarchical design process, customizable physical interface, and iterative simulation-based feedback loop.
keywords	Digital Hardware; Digital Design; Pedagogy; Human-computer Interaction; Physical computation
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ecaade2018_264
id	ecaade2018_264
authors	Qabshoqa, Mohammad
year	2018
title	Virtual Place-Making - The Re-discovery of Architectural Places through Augmented Play - A playful emergence between the real and unreal
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 451-458
doi	https://doi.org/10.52842/conf.ecaade.2018.1.451
summary	This paper introduces the concept of Virtual Place-making through Urban Gamification for architects and designers as a potential application and approach in architecture and urban design. This introduction will be achieved through introducing Augmented Play and Urban Gamification; identifying the urban gamification components based on the game Pokémon Go; exploring the effect of augmented reality games on the experience of architectural and urban spaces; identifying the role of augmented urban gamification in rediscovering cities and redefining architectural spaces. Finally, an investigation of the existing literature concerning making places is combined with the understanding of the impact of digital technologies to construct an understanding of the concept of Virtual Place-making.
keywords	Gamification in Architecture; Internet of Things in Architecture; Augmented Reality in Architecture; User-Participatory in Architecture; Placemaking;
series	eCAADe
email
last changed	2022/06/07 07:58

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