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	caadria2018_161
id	caadria2018_161
authors	Huang, Xiaoran, White, Marcus and Burry, Mark
year	2018
title	Design Globally, Immerse Locally - A Synthetic Design Approach by Integrating Agent Based Modelling with Virtual Reality
doi	https://doi.org/10.52842/conf.caadria.2018.1.473
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. 473-482
summary	The last three decades have witnessed the explosion of technology and its impact on the architecture discipline which has drastically changed the methods of design. New techniques such as Agent-based modeling (ABM) and Virtual Reality (VR) have been widely implemented in architectural and urban design domains, yet the potential integration between these two methods remains arguably unexploited. The investigation in this paper aims to probe the following questions: How can architects and urban designers be informed more comprehensively by melding ABM and VR techniques at the preliminary/conceptual design stage? Which platform is considered more appropriate to facilitate a user-friendly system and reduces the steep learning curve? And what are the potential benefits of this approach in architectural education, particularly for the design studio environment? With those questions, we proposed a prototype in Unity, a multi-platform development tool that originated from the game industry, to simulate and visualize pedestrian behaviors in urban environments with immersive design experience and tested it in a scenario-based case study. This approach has also been further tested in an architectural design studio, demonstrating its technical feasibility as well as the potential contributions to the pedagogy.
keywords	Agent based modelling; Virtual Reality; Urban Design
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	acadia23_v1_196
id	acadia23_v1_196
authors	Bao, Ding Wen; Yan, Xin; Min Xie, Yi
year	2023
title	Intelligent Form
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 196-201.
summary	InterLoop employs previously developed workflows that enable multi-planar robotic bending of metal tubes with high accuracy and repeatability (Huang and Spaw 2022). The scale and complexity is managed by employing augmented reality (AR) technology in two capacities, fabrication and assembly (Jahn et al. 2018; Jahn, Newnham, and Berg 2022). The AR display overlays part numbers, bending sequences, expected geometry, and robot movements in real time as the robot fabrication is occurring. For assembly purposes, part numbers, centerlines, and their expected positional relationships are projected via quick response (QR) codes spatially tracked by the Microsoft Hololens 2 (Microsoft 2019). This is crucial due to the length and self-similarity of complex multi-planar parts that make them difficult to distinguish and orient correctly. Leveraging augmented reality technology and robotic fabrication uncovers a novel material expression in tubular structures with bundles, knots, and interweaving (Figure 1).
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	caadria2018_125
id	caadria2018_125
authors	Bungbrakearti, Narissa, Cooper-Wooley, Ben, Odolphi, Jorke, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	HOLOSYNC - A Comparative Study on Mixed Reality and Contemporary Communication Methods in a Building Design Context
doi	https://doi.org/10.52842/conf.caadria.2018.1.401
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. 401-410
summary	The integration of technology into the design process has enabled us to communicate through various modes of virtuality, while more traditional face-to-face collaborations are becoming less frequent, specifically for large scale companies. Both modes of communication have benefits and disadvantages - virtual communication enables us to connect over large distances, however can often lead to miscommunication, while face-to-face communication builds stronger relationship, however may be problematic for geographically dispersed teams. Mixed Reality is argued to be a hybrid of face-to-face and virtual communication, and is yet to be integrated into the building design process. Despite its current limitations, such as field of view, Mixed Reality is an effective tool that generates high levels of nonverbal and verbal communication, and encourages a high and equal level of participation in comparison to virtual and face-to-face communication. Being a powerful communication tool for complex visualisations, it would be best implemented in the later stages of the building design process where teams can present designs to clients or where multiple designers can collaborate over final details.
keywords	Mixed Reality; Communication; Hololens; Collaboration; Virtual
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2018_278
id	caadria2018_278
authors	Caetano, In?s, Ilunga, Guilherme, Belém, Catarina, Aguiar, Rita, Feist, Sofia, Bastos, Francisco and Leit?o, António
year	2018
title	Case Studies on the Integration of Algorithmic Design Processes in Traditional Design Workflows
doi	https://doi.org/10.52842/conf.caadria.2018.1.111
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. 111-120
summary	Algorithmic design processes have enormous potential for architecture. Even though some large design offices have already incorporated such processes in their workflow, so far, these have not been seriously considered by the large majority of traditional small-scale studios. Nevertheless, as the integration of algorithmic techniques inside architectural studios does not require mastering programming skills, but rather taking advantage of a collaborative design process, small design studios are therefore able of using such strategies within their workflow. This paper discusses a series of challenges presented by one of these studios, where we had to integrate algorithmic design processes with the studio's traditional workflow.
keywords	Collaborative design; Algorithmic design; Design strategies; Design workflow processes
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2018_301
id	caadria2018_301
authors	Fereos, Pavlos, Tsiliakos, Marios and Jaschke, Clara
year	2018
title	Spaceship Architecture - A Sci-Fi Pedagogical Approach to Design Computation
doi	https://doi.org/10.52842/conf.caadria.2018.1.081
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. 81-90
summary	The analysis of make-belief drawings and models of Sci-Fi spaceships and architecture, leaves architects usually in absence of interior, material or program information. The spatial depth of sci-fi digital or physical models is virtually non-existent and unresolved. This discrepancy within sci-fi scenarios inspired the development of an integrated teaching methodology within design studios, with the academic objective to utilize computational methods for analysis, reproduction and eventually composition, while assessing its capacity to achieve a successful assimilation of design computation in the curriculum. The Spaceship Architecture Design Studio at University of Innsbruck's Institute for Experimental Architecture.hochbau follows a procedural approach in which the design objective is not predefined. Yet, it aims to be 'outside of this world' as a sci-fi architectural quality-enriched result of our reality, via a design oriented course with immersive computational strategies.
keywords	pedagogy; computation; sci-fi; academia; teaching
series	CAADRIA
email
last changed	2022/06/07 07:50

_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
doi	https://doi.org/10.52842/conf.caadria.2018.1.483
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
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	caadria2018_287
id	caadria2018_287
authors	Herr, Christiane M., Lombardi, Davide and Galobardes, Isaac
year	2018
title	Parametric Design of Sculptural Fibre Reinforced Concrete Facade Components
doi	https://doi.org/10.52842/conf.caadria.2018.2.319
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. 319-328
summary	This paper presents the first stage of a study examining the digital design and fabrication of a parametrically defined sculptural concrete façade element employing fibre reinforced concrete. On the background of a literature review of related precedent studies, the paper extends the scope of previous studies by offering a detailed insight into the process of integrating architectural considerations with material properties of fibre reinforced concrete, detailed structural analysis and construction constraints. The paper offers technical details with a focus on material to similar on-going studies.
keywords	parametric design; digital fabrication; digital prototyping; fibre reinforced concrete; prefabrication
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	acadia23_v1_180
id	acadia23_v1_180
authors	Huang, Lee-Su; Spaw, Gregory
year	2023
title	InterLoop
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 180-187.
summary	InterLoop employs previously developed workflows that enable multi-planar robotic bending of metal tubes with high accuracy and repeatability (Huang and Spaw 2022). The scale and complexity is managed by employing augmented reality (AR) technology in two capacities, fabrication and assembly (Jahn et al. 2018; Jahn, Newnham, and Berg 2022). The AR display overlays part numbers, bending sequences, expected geometry, and robot movements in real time as the robot fabrication is occurring. For assembly purposes, part numbers, centerlines, and their expected positional relationships are projected via quick response (QR) codes spatially tracked by the Microsoft Hololens 2 (Microsoft 2019). This is crucial due to the length and self-similarity of complex multi-planar parts that make them difficult to distinguish and orient correctly. Leveraging augmented reality technology and robotic fabrication uncovers a novel material expression in tubular structures with bundles, knots, and interweaving (Figure 1).
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	caadria2018_126
id	caadria2018_126
authors	Khean, Nariddh, Kim, Lucas, Martinez, Jorge, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	The Introspection of Deep Neural Networks - Towards Illuminating the Black Box - Training Architects Machine Learning via Grasshopper Definitions
doi	https://doi.org/10.52842/conf.caadria.2018.2.237
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. 237-246
summary	Machine learning is yet to make a significant impact in the field of architecture and design. However, with the combination of artificial neural networks, a biologically inspired machine learning paradigm, and deep learning, a hierarchical subsystem of machine learning, the predictive capabilities of machine learning processes could prove a valuable tool for designers. Yet, the inherent knowledge gap between the fields of architecture and computer science has meant the complexity of machine learning, and thus its potential value and applications in the design of the built environment remain little understood. To bridge this knowledge gap, this paper describes the development of a learning tool directed at architects and designers to better understand the inner workings of machine learning. Within the parametric modelling environment of Grasshopper, this research develops a framework to express the mathematic and programmatic operations of neural networks in a visual scripting language. This offers a way to segment and parametrise each neural network operation into a basic expression. Unpacking the complexities of machine learning in an intermediary software environment such as Grasshopper intends to foster the broader adoption of artificial intelligence in architecture.
keywords	machine learning; neural network; action research; supervised learning; education
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2018_122
id	caadria2018_122
authors	Leung, Emily, Asher, Rob, Butler, Andrew, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	Redback BIM - Developing 'De-Localised' Open-Source Architecture-Centric Tools
doi	https://doi.org/10.52842/conf.caadria.2018.2.021
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. 21-30
summary	Emerging technologies that use data have contributed to the success of communication all over the world. Social media and gaming industries have already taken advantage of the web to provide synchronous communication and updated information. Conversely, existing methods of communication within the AEC industry require multiple platforms, such as emails and file sharing services in conjunction with 3D Modelling software, to inform changes made by stakeholders, resulting in file duplication and limited accessibility to the latest version, while augmenting existing practice's inefficiency. As communication is critical to the success of a project and should be enhanced, Redback BIM promises to establish a workflow for a dynamic platform, while achieving similar results to that of a 3D modelling program hosted on the web. Using existing open-source web development software, multiple users will be able to collaboratively organise and synchronise changes made to the design scheme in real-time. Features such as this would enable more fluid communication between multiple stakeholders within the life of a project.
keywords	De-localised Workspaces; Web-based Software Platforms; Data; Open-source; Collaboration
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2018_322
id	caadria2018_322
authors	Lu, Hangxin, Gu, Jiaxi, Li, Jin, Lu, Yao, Müller, Johannes, Wei, Wenwen and Schmitt, Gerhard
year	2018
title	Evaluating Urban Design Ideas from Citizens from Crowdsourcing and Participatory Design
doi	https://doi.org/10.52842/conf.caadria.2018.2.297
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. 297-306
summary	Participatory planning aims at engaging multiple stakeholders including citizens in various stages of planning projects. Adopting participatory design approach in the early stage of planning project facilitates the ideation process of citizens. We have implemented a participatory design study during the 2017 Beijing Design Week and have conducted an interactive design project called "Design your perfect Dashilar: You Place it!". Participants including local residents and visitors were asked to redesign the Yangmeizhu street, a historical street located in Dashilar area by rearranging the buildings of residential, commercial, administration, and cultural functionalities. Apart from using digital design tools, questionnaires, interviews, and sensor network were applied to collect personal preferences data. Computational approaches were used to extract features from designs and personal preferences. In this paper, we illustrate the implementation of the participatory design and the possible applications by combining with crowdsourcing. Participatory design data and citizens profiles with personal preferences were analysed and their correlations were computed. By using crowdsourcing and participatory design, this study shows that the digitalization of participatory design with data science perspective can indicate the implicit requirements, needs and design ideas of citizens.
keywords	Participatory design; Crowdsourcing; Human computation; Citizen Design Science; Human Computer Interaction
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2018_284
id	caadria2018_284
authors	Mühlhaus, Michael, Jenney, Sarah Louise and Petzold, Frank
year	2018
title	Take a Look Through My Eyes: An Augmented Reality Planning Communication System
doi	https://doi.org/10.52842/conf.caadria.2018.1.379
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. 379-388
summary	Participation and communication in urban planning, visualisation, spatial perception, and motivation through gamification are discussed and system requirements derived. An augmented reality multi-client communication prototype is described improving transparency and utilising local expertise in planning processes. The selection, processing and visualisation of planning data takes individual stakeholders knowledge and skill levels, cultural backgrounds, and interests into account to facilitate understanding through moderation and the ability to change perspective.
keywords	Augmented Reality; Gameification; Communication; Public Participation; Visualisation
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2018_188
id	caadria2018_188
authors	Yu, K. Daniel, Haeusler, M. Hank, Fabbri, Alessandra and Simons, Katrina
year	2018
title	BiCycle Pathway Generation Through a Weighted Digital Slime Mold Algorithm via Topographical Analysis
doi	https://doi.org/10.52842/conf.caadria.2018.2.381
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. 381-390
summary	Cities are growing into larger suburbias which increasingly become dependent on cars as the primary mode of transport. Cycling is an alternative transport mode, but topography can often turn daily transport into cardiovascular exercise - not always a desirable outcome. Addressing this, planners can design cycle pathways that coincide with the landscape by planning the shortest path between two points, whilst considering the need to minimise effort (muscle power) to reach the destination. Using a Slime Mold algorithm the paper discusses possibilities of cycle pathway generation which utilises topographic gradients as the initial framework for the growth. The cycle path optimises the amount of effort required to travel between specified points, and adhere to a set of rules predefined by the user (e.g avoid occupied cadastral). A vector analysis determines the gradient sizes that define areas of the topography which are too steep for the algorithm to grow. The algorithm can be observed to generate cycling infrastructure that is both reflective of the environment and the amenities of humans. This investigation, its proposed hypothesis, methodology, implications, significance, and evaluation are presented in the paper.
keywords	cycle pathway; slime mold; infrastructure generation; topography analysis; route choice
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2018_332
id	caadria2018_332
authors	van Ameijde, Jeroen and Song, Yutao
year	2018
title	Data-Driven Urban Porosity - Incorporating Parameters of Public Space into a Generative Urban Design Process
doi	https://doi.org/10.52842/conf.caadria.2018.1.173
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. 173-182
summary	This paper presents an urban design project for a new city district, using generative design processes in architecture and urbanism developed over several years within academic research and practice work. The paper discusses the opportunities and challenges found when using a data-driven urban design methodology in relation to the complex logistical, social and economical networks of new urban centers.
keywords	Design Methods and Information Processing; Generative System; Simulation & Optimization; Urban Planning and Design; Public Space Design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2018_049
id	caadria2018_049
authors	Xu, Tongda, Wang, Dinglu, Yang, Mingyan, You, Xiaohui and Huang, Weixin
year	2018
title	An Evolving Built Environment Prototype - A Prototype of Adaptive Built Environment Interacting with Electroencephalogram Supported by Reinforcement Learning
doi	https://doi.org/10.52842/conf.caadria.2018.2.207
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. 207-215
summary	This paper proposes an environment prototype learning from people's Electroencephalogram (EEG) feedback in real-time. Instead of the widely adopted supervised learning method, a recently published affordable reinforcement learning model (PPO) is adopted to avoid bias from designers and to base the interaction on the subject and intelligent agent rather than between the designer and subject. In this way, development of interaction method towards a specific target is substantially accelerated. The target of this prototype is to keep the subject's alpha wave stable or decline, which indicated a more calming state, by intelligent decision of illumination state according to subject's EEG. The result is promising, a decent trained model could be gained within 500,000 steps facing this mid-complex environment. The target of keeping the alpha wave of subjects on a low or stable level purely by decision from computer agents is successfully reached.
keywords	Brain–computer interface; Reinforcement learning; Adaptive environment; Electroencephalogram; Mindfulness training
series	CAADRIA
email
last changed	2022/06/07 07:57

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