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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Hits 1 to 20 of 532

_id cf2017_585
id cf2017_585
authors Ben, Yuqiang; Niblock, Chantelle; Bonenberg, Lukasz
year 2017
title Lincoln Cathedral Interactive Virtual Reality Exhibition
source Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 585-595.
summary This paper demonstrates a workflow converting terrestrial laser scan (TLS) data into an interactive virtual reality (VR) platform. A VR exhibition prototype of Lincoln Cathedral was created to validate the established workflow in terms of the technical and visual performance, usability, and functionality. It combined TLS data and storytelling to produce a shareable platform, inviting opportunities for public engagement, and to facilitate custodians with the tools to maintain the building’s heritage. The paper discusses the use of open sourcesoftware and suggests future work.
keywords 3D Laser Scan, Virtual Reality, User Experience, Building Heritage
series CAAD Futures
email jlmaoju@outlook.com, Chantelle.Niblock@nottingham.ac.uk, Lukasz.Bonenberg@nottingham.ac.uk
last changed 2017/12/01 13:38

_id acadia17_284
id acadia17_284
authors Hu, Zhengrong; Park, Ju Hong
year 2017
title HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 284-291
summary Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords design methods; information processing; data mining; IoT; AI; machine learning
series ACADIA
email z.hu1@umiami.edu
last changed 2017/10/17 09:12

_id ijac201715104
id ijac201715104
authors Matalucci, Berardo; Kenton Phillips, Alicia A Walf, Anna Dyson and Joshua Draper
year 2017
title An experimental design framework for the personalization of indoor microclimates through feedback loops between responsive thermal systems and occupant biometrics
source International Journal of Architectural Computing vol. 14 - no. 1, 54-69
summary How can building technologies accommodate different and often conflicting user preferences without dissolving the social cohesiveness, intrinsic of every architectural intervention? Individual thermal comfort has often been considered a negligible sensorial experience by modern heating and cooling technologies, and is often influenced by large-group norms. Alternatively, we propose that buildings are repositories of indoor microclimates that can be realized to provide personalized comfort, to create healthier environments, and to enhance the attributes of architectural interventions into haptic dimensions. In response, the goal of this study is to characterize an experimental framework that integrates responsive thermal systems with occupants’ direct and indirect experience, which includes stress response and biometric data. A computational model was used up to inform and analyze thermal perception of subjects, and later tested in a responsive physical installation. While results show that thermal comfort assessment is affected by individual differences including cognitive functions and biometrics, further computational efforts are needed to validate biometric indicators. Finally, the implications of personalized built environments are discussed with respect to future technology developments and possibilities of design driven by biometric data.
keywords Personalized thermal comfort, interactive building technologies, bio-feedback loops, indoor microclimates
series journal
email matalb@rpi.edu
last changed 2017/12/11 12:30

_id acadia17_404
id acadia17_404
authors Miller, Nathan; Stasiuk, David
year 2017
title A Novel Mesh-Based Workflow for Complex Geometry in BIM
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 404- 413
summary Various well-established digital modeling software platforms enable architectural design teams to rapidly sculpt and iterate over complex, doubly curved, and organic geometries. However, the software platforms that are used to author such geometries are rarely the same that are used for later-stage project development and delivery. For these phases of project execution, projects of even modest complexity are managed through building information modeling (BIM) software. Yet most BIM solutions are not suitable for natively handling the design of geometrically complex forms, failing to provide lightweight, responsive, or flexible authoring interfaces. A further complication is their inability to readily import or integrate any complex geometric elements or assemblies generated elsewhere. The development of improvements to interoperability between authoring and production software therefore remains an important goal in contemporary architectural practice. This paper describes a practical methodology that then engages various Application Programming Interfaces (APIs) and open-source programming tools to address the problem of interoperability for complex geometry in BIM. Specifically, it identifies meshes as a well-positioned data structure for use within the context of preparing complex design geometry for BIM production. We describe a novel technique for the efficient interoperability of complex NURBS poly-surface objects from one authoring platform, employing design meshes that cleanly capture not just geometry, but also user and procedurally derived descriptive data elements for advanced representation and analysis within a BIM production environment.
keywords design methods; information processing; BIM
series ACADIA
email nate@provingground.io
last changed 2017/10/17 09:12

_id caadria2017_080
id caadria2017_080
authors Suzuki, Seiichi and Knippers, Jan
year 2017
title Topology-driven Form-finding - Implementation of an Evolving Network Model for Extending Design Spaces in Dynamic Relaxation
source P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 489-498
summary This paper introduces a novel computational design methodology called topology-driven for the numerical form-finding of discrete networks and presents the essential building block for storing and processing information. Numerical form-finding focuses on computing the optimum geometric configuration of lightweight structures in which shape is the result of reciprocal dependencies between forces, material behaviors and structural performances. Among the design community, Dynamic Relaxation (DR) has gained in popularity given its capacity to support more flexible and interactive design spaces in form-finding. However, common implementations of networks models only focus on the interactive exploration of material and geometrical properties without further specification for topological dynamization. For facing this problematic, we propose an object-oriented approach to attach specific functionalities to particular pieces of data within the numerical schema. Here, we describe the implementation of a rule-based system for managing objects´ interactions in order to continuously track topological and geometrical changes. Based on this concept, larger design spaces can be developed for the interactive exploration of structural shapes.
keywords Topology-driven; Form-Finding; Dynamic Relaxation; Object Structures; Design Spaces
series CAADRIA
email s.suzuki@itke.uni-stuttgart.de
last changed 2017/05/09 08:05

_id acadia17_630
id acadia17_630
authors Vasanthakumar, Saeran; Saha, Nirvik; Haymaker, John; Shelden, Dennis
year 2017
title Bibil: A Performance-Based Framework to Determine Built Form Guidelines
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 630- 639
summary City built-form guidelines act as durable constraints on building design decisions. Such guidelines directly impact energy, comfort and other performance conditions. Existing urban design and planning methods only consider a narrow range of potential design scenarios, with rudimentary performance criteria, resulting in suboptimal urban designs. Bibil is a software plugin for the Rhinoceros3D/Grasshopper3D CAD modeler that addresses this gap through the synthesis of design space exploration methods to help design teams optimize guidelines for environmental and energy performance criteria over the life cycle of the city. Bibil consists of three generative and data management modules. The first module simulates development scenarios from street and block information through time, the second designs appropriate architectural typology, and the third abstracts the typologies into a lightweight analysis model for detailed thermal load and energy simulation. State-of-the-art performance simulation is done via the Ladybug Analysis Tools Grasshopper3D plugin, and further bespoke analysis to explore the resulting design space is achieved with custom Python scripts.This paper first introduces relevant background for automated exploration of urban design guidelines. Then the paper surveys the state-of-the-art in design and performance simulation tools in the urban domain. Next the paper describes the beta version of the tool’s three modules and its application in a built form study to assess urban canyon performance in a major North American city. Bibil enables the exploration of a broader range of potential design scenarios, for a broader range of performance criteria, over a longer period of time.
keywords design methods; information processing; simulation & optimization; form finding; generative system
series ACADIA
email saeranv@gmail.com
last changed 2017/10/17 09:13

_id ecaade2017_033
id ecaade2017_033
authors Yan, Wei
year 2017
title WP-BIM: Web-based Parametric BIM Towards Online Collaborative Design and Optimization
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 527-534
summary We present initial experiments of Web-based Parametric Building Information Modeling (WP-BIM) towards collaborative design, modeling, simulation, and optimization. A new framework that integrates Web-based information technology (WebGL graphics, networking, and Web browsers), and design computing technology (visual programming) into parametric BIM is prototyped for the experiments. The integration of Web technology is going to enable online collaborative and user participatory design. Connected through the Web platform, a BIM model, visual programming-based user interfaces for parametric changes, and an optimization algorithm, which may reside in different servers or local computers in different geographical locations, have the potential to be integrated and working together to resolve design optimization problems, especially if combined with cloud-based performance simulation tools. After future development, this may allow architects, engineers, clients, etc. to collaboratively work on a project with up-to-date building data and different design and simulation tools.
keywords Web-based; Parametric Modeling; BIM; Collaborative Design; Optimization
series eCAADe
email wyan@tamu.edu
last changed 2017/09/13 13:31

_id sigradi2017_024
id sigradi2017_024
authors Howe, Nathan; Ryan Gedney
year 2017
title Data-driven Age | Educating the Architects of Tomorrow [Data-driven Age | Educating the Architects of Tomorrow]
source SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.174-179
summary This paper delves into the paradigm shift of architecture practice and teaching in a data-driven age. What tools are needed within the architectural environment? What type of expertise must professionals be exposed to? What type of research and analysis is necessary to provide conviction for a design? These are just a few questions introduced in this paper to create a methodology for discovering alternate ways of teaching and practicing architecture. In this exploration, an architectural firm and a graduate studio’s expertise were combined to create a framework for educating the architect of tomorrow in a data-driven age.
keywords data-drive; parameters; technology; architecture; urban; academy; profession
series SIGraDi
email nhowe@ksu.edu
last changed 2018/07/27 08:05

_id caadria2017_027
id caadria2017_027
authors Johanson, Madeleine, Khan, Nazmul, Asher, Rob, Butler, Andrew and Haeusler, M. Hank
year 2017
title Urban Pinboard - Establishing a Bi-directional Workflow Between Web-based Platforms and Computational Tools
source P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 715-724
summary Architecture is heading towards a future where data is collected, collated and presented in a dynamic platform. There is a potential for many standard processes in the industry to become automated, such as the site analysis process. Streamlining aspects of the design process allows architects to pay greater attention on creative design solutions for their buildings and less time engaging in complex, time consuming analytical programs. Urban Pinboard, a web-based GIS platform, promises to establish a bi-directional workflow between web data depositories and computational tools through the medium of a website. By doing so, the website allows users with minimal experience in computational processes to be engaged in the utilisation of these large datasets. Through the automation of these processes, relationships within the built environment industry can excel, leading towards performative driven designs.
keywords Urban Planning; Computational Urbanism; Data-driven Design; New Workflow Models; Software Development.
series CAADRIA
email m.haeusler@unsw.edu.au
last changed 2017/05/09 08:05

_id ecaade2017_301
id ecaade2017_301
authors Kalantari, Saleh and Ghandi, Mona
year 2017
title Data-responsive Architectural Design Processes
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 503-512
summary Current advancements in information technology and mechanical components offer incredible new possibilities for innovation in architecture. Many aspects of our physical environment are becoming integrated with information systems, a phenomenon that has been referred to as the "Internet of Things." The implications and applications of this technology are far-reaching, and students who are learning about design in today's environment have a bewildering array of new tools available for their exploration. This paper reviews some of the central concepts of contemporary data-driven design, and describes how these concepts can be used in a pedagogical framework to encourage student innovation. The authors provide details about their work with students in IDR Studios, and highlight some of the innovative design solutions created by students using information-based toolsets. This research provides a pedagogical framework for helping design students to engage with new technological resources as they work to develop the architectural intelligence.
keywords Adaptive Systems; Internet of Things; Big Data; Data Driven Design Process
series eCAADe
email saleh.kalantari@wsu.edu
last changed 2017/09/13 13:31

_id acadia17_426
id acadia17_426
authors Moorman, Andrew
year 2017
title Pattern Making and Learning: Non-Routine Practices in Generative Design
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 426- 435
summary We now witness an upsurge in mainstream generative design tools fortified by simulation that speed up the concealed linear synthesis of optimized design alternatives. In pursuit of optimality, these tools saturate local machines or cloud servers with analysis and design iteration data, only to discard it once the procedure has concluded. Largely absent, however, are tools for an active, adaptive relationship with design exploration and the reuse of corresponding design data and metadata. In Pattern Making and Pattern Learning, we propose that these characteristics are mutually beneficial. This paper presents a series of revisions to the optimization framework for routine design synthesis that examine a potential symbiosis between the production of large datasets (big data) and non-routine practices of making in design. Our engagement with iterative design exercises is twofold: as a supply of computer-generated design information to foster user intuition and explore the design space on non-objective terms, and as a supply of human-generated design information to learn artifacts of user preference in the interest of design software personalization. These concepts are applied to the generation of functionally graded patterning in chair design, combining methods of physical production with programmable sheet material behavior through a custom interactive synthesis framework.
keywords design methods; information processing; ai & machine learning; simulation & optimization; generative system
series ACADIA
email arm246@cornell.edu
last changed 2017/10/17 09:12

_id sigradi2017_099
id sigradi2017_099
authors Panagoulia, Eleanna
year 2017
title Human – Centered Approaches in Urban Analytics and Placemaking
source SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.692-698
summary Planning for resilience and enabling positive design outcomes requires combinatory methods of working with data, in order to assist decision-makers develop evidence-based methodologies and easily communicated scenarios. The staggering rise of technology integration and data-aided analysis tools in urban planning, not only facilitates our understanding of socio-economic flux, but attempts to actively involve users as a way of creating environments that are more responsive and appropriate to their needs. This paper aims to contribute to the discourse on user involvement in design-oriented fields, in our case, urban planning, by analyzing two different approaches of participatory design.
keywords User-Centric Design; Open-Data; Participation; Evaluation; ‘Reblock’
series SIGraDi
email eleannapan@gmail.com
last changed 2018/07/27 08:08

_id acadia17_82
id acadia17_82
authors Andreani, Stefano; Sayegh, Allen
year 2017
title Augmented Urban Experiences: Technologically Enhanced Design Research Methods for Revealing Hidden Qualities of the Built Environment
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 82-91
summary The built environment is a complex juxtaposition of static matter and dynamic flows, tangible objects and human experiences, physical realities and digital spaces. This paper offers an alternative understanding of those dichotomies by applying experimental design research strategies that combine objective quantification and subjective perception of urban contexts. The assumption is that layers of measurable datasets can be afforded with personal feedback to reveal "hidden" characteristics of cities. Drawing on studies from data and cognitive sciences, the proposed method allows us to analyze, quantify and visualize the individual experience of the built environment in relation to different urban qualities. By operating in between the scientific domain and the design realm, four design research experiments are presented. Leveraging augmenting and sensing technologies, these studies investigate: (1) urban attractors and user attention, employing eye-tracking technologies during walking; (2) urban proxemics and sensory experience, applying proximity sensors and EEG scanners in varying contexts; (3) urban mood and spatial perception, using mobile applications to merge tangible qualities and subjective feelings; and (4) urban vibe and paced dynamics, combining vibration sensing and observational data for studying city beats. This work demonstrates that, by adopting a multisensory and multidisciplinary approach, it is possible to gain a more human-centered, and perhaps novel understanding of the built environment. A lexicon of experimented urban situations may become a reference for studying different typologies of environments from the user experience, and provide a framework to support creative intuition for the development of more engaging, pleasant, and responsive spaces and places.
keywords design methods; information processing; art and technology; hybrid practices
series ACADIA
email andreani@gsd.harvard.edu
last changed 2017/10/17 09:12

_id ecaade2017_029
id ecaade2017_029
authors Gadelhak, Mahmoud, Lang, Werner and Petzold, Frank
year 2017
title A Visualization Dashboard and Decision Support Tool for Building Integrated Performance Optimization
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 719-728
summary Analyzing the results of multi-objective optimization and building performance simulation can be a very tedious process that requires navigating between different software and tools. There is a clear scarcity in visualization tools that combine methods for big data analysis and design decision support tools that integrate detailed information for each design and parameter. Having a single visualization tool that provides methods to both visualize and analyze a large amount of data, understand the relation between objectives and variables, and having the ability to compare and analyze the preferred designs thoroughly can support the process of design decision making. In this paper, previous attempts to develop better data visualization tools for both integrated building simulation and optimization outputs were analyzed, then guidelines and a visualization tool prototype that can be effective in decision making and analyzing multi-objective optimizations results was presented.
keywords Multi-objective optimization; Building Performance Simulation; Simulation; Visualization tools
series eCAADe
email m.gadelhak@tum.de
last changed 2017/09/13 13:13

_id acadia17_292
id acadia17_292
authors Hurkxkens, Ilmar; Girot, Christophe; Hutter, Marco
year 2017
title Robotic Landscapes: Developing Computational Design Tools Towards Autonomous Terrain Modeling
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 292-297
summary Until today, on-site robotic construction processes in landscape architecture have been limited to predefined and controlled environments like road building or mining pits. We are presently developing an autonomous walking excavator that paves the way for new and advanced on-site design strategies. The shift towards robotic construction in terrain modeling and landscape architecture demands an adaptive design approach, where the resulting topology is inherently linked to landscape performance and the local conditions of a site. This paper discusses the computational design tools that may help redefine how design and construction processes can be better adapted to real-time topological and sensory data. This approach will, in due time, revolutionize how designers think, act and play with contemporary landscapes robotically, and reimagine their intrinsic relationship to infrastructure.
keywords design methods; information processing; fabrication; construction/robotics; form finding
series ACADIA
email hurkxkens@arch.ethz.ch
last changed 2017/10/17 09:12

_id cf2017_110
id cf2017_110
authors Koenig, Reinhard; Miao, Yufan; Knecht, Katja; Bus, Peter; Mei-Chih, Chang
year 2017
title Interactive Urban Synthesis: Computational Methods for Fast Prototyping of Urban Design Proposals
source Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 110.
summary In this paper, we present a method for generating fast conceptual urban design prototypes. We synthesize spatial configurations for street networks, parcels and building volumes. Therefore, we address the problem of implementing custom data structures for these configurations and how the generation process can be controlled and parameterized. We exemplify our method by the development of new components for Grasshopper/Rhino3D and their application in the scope of selected case studies. By means of these components, we show use case applications of the synthesis algorithms. In the conclusion, we reflect on the advantages of being able to generate fast urban design prototypes, but we also discuss the disadvantages of the concept and the usage of Grasshopper as a user interface.
keywords Procedural grammars, Artificial intelligence in design, Urban synthesis, Generative design, Grasshopper plugin, Cognitive design computing
series CAAD Futures
email reinhard.koenig@ait.ac.at, miao@arch.ethz.ch, katja.knecht@arch.ethz.ch, bus@arch.ethz.ch, chang@arch.ethz.ch
last changed 2017/12/01 13:37

_id acadia17_000
id acadia17_000
authors Nagakura, Takehiko; Tibbits, Skylar; Iba?ez, Mariana and Mueller, Caitlin (eds.)
year 2017
title ACADIA 2017: DISCIPLINES & DISRUPTION
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), 706 p.
summary The Proceedings of the ACADIA 2017 conference contains peer reviewed research papers presented at the 37th annual conference of the Association for Computer Aided Design in Architecture. Disciplines & Disruption initiates a dialog about the state of the discipline of architecture and the impact of technology in shaping or disrupting design, methods and cultural fronts. For the past 30 years, distinctive advancements in technologies have delivered unprecedented possibilities to architects and enabled new expressions, performance, materials, fabrication and construction processes. Simultaneously, digital technology has permeated the social fabric around architecture with broad influences ranging from digital preservation to design with the developing world. Driven by technological, data and material advances, architecture now witnesses the moment of disruption, whereby formerly distinct areas of operation become increasingly connected and accessible to architecture's sphere of concerns in ways never before possible. Distinctions between design and making, building and urban scale, architecture and engineering, real and virtual, on site and remote, physical and digital data, professionals and crowds, are diminishing as technology increases the designer's reach far beyond the confines of the drafting board. This conference provides a platform to investigate the shifting landscape of the discipline today, and to help define and navigate the future.
keywords Computer Aided Design, ACADIA, ACADIA 2017, ACADIA Conference, Architecture
series ACADIA
email sjet@mit.edu; takehiko@mit.edu
last changed 2017/10/17 09:12

_id acadia17_178
id acadia17_178
authors Charbel, Hadin; López, Déborah
year 2017
title In(di)visible: Computing Immersive Environments through Hybrid Senses
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 178-189
summary The research presented in this paper seeks to examine how architecture and computational tools can be used to communicate on multiple levels by incorporating a series of qualitative and quantitative measures as criteria for a spatial and architectural design. Air is taken as a material that has the capacity to create boundaries, yet unless under extreme conditions often remains invisible. Varying in qualities such as temperature, humidity and pollution, the status of air is highly local to a particular context. The research explores how rendering air visible through an architectural intervention made of networked sentient prototypes can be used in the reation of a responsive outdoor public space. Although humans' ability to perceive and respond to stimuli is highly advanced, it is nevertheless limited in its spectrum. Within the urban context specifically, the information, material and flux being produced is becoming ever more complex and incomprehensible. While computational tools, sensors and data are increasingly accessible, advancements in the fields of cognitive sciences and biometrics are unraveling how the mind and body works. These developments are explored in tandem and applied through a proposed methodology. The project aims to negotiate the similarities and differences between humans and machines with respect to the urban environment. The hypothesis is that doing so will create a rich output, irreducible to a singular reading while heightening user experience and emphasizing a sense of place.
keywords design methods; information processing; hybrid practices; data visualization; computational / artistic cultures
series ACADIA
email deborahlopezlobato@gmail.com
last changed 2017/10/17 09:12

_id acadia17_266
id acadia17_266
authors Gonzalez Rojas,Paloma
year 2017
title Space and Motion: Data-Driven Model of 4D Pedestrian Behavior
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 266-273
summary The understanding of space relies on motion, as we experience space by crossing it in time, space’s fourth dimension. However, architects lack the necessary tools to incorporate people's motion into their design of space. As a consequence, architects fail to connect space with the motion of the people that inhabit their buildings, creating disorienting environments. Further, what if augmentation technology changes how we inhabit space and the static built environment does not fit people anymore? This paper explores the problem of developing a model from people's motion, to inform and augment the architecture design process in the early stages. As an outcome, I have designed a model based on data from human-space interaction obtained through field work. First, relevant behavior was identified and recorded. Second, a metric was extracted from the data and composed by speed, the 4th D dimension as time, and gestures. Third, the original behavior was rebuilt, producing a set of rules. The rules were combined to form the model of human-space interaction. This generalizable model provides a novel approach to designing space based on data from people. Moreover, this paper presents a means of incorporating inhabitants' behavior into digital design. Finally, the model contributes to the advancement of people's motion research for general applications, such as in transport engineering, robotics, and cognitive sciences.
keywords design methods; information processing; simulation & optimization; data visualization
series ACADIA
email palomagr@mit.edu
last changed 2017/10/17 09:12

_id ecaade2017_146
id ecaade2017_146
authors Zavoleas, Yannis and Haeusler, M. Hank
year 2017
title Extended modelling - Dynamic approaches applied to design reef habitats at Sydney Harbour
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 67-74
summary This paper outlines a critical approach to computation in architecture by using multi-agent systems and dynamic simulation tools. Such methods reinforce viewing design as a data-driven process, whereby a problem is analysed to a set of agents and their properties. The related actions assume extensive modelling techniques, recursive experimentation and testing to assist design since the early stages until completion. In reflection, similar methods are employed to tackle problems of content other than architecture. The experiment being discussed is Bio-shelters. It involves designing artificial coral reefs to be placed at the Sydney Harbour, aiming to improve the living conditions of seashell and other endangered organisms. This paper first describes reefs as highly sophisticated ecosystems; then, it proposes methods for designing and constructing ones, further commenting onto their shape, fabrication, materiality and on-site placement, consequently reinforcing that extensive modelling techniques currently applicable in architecture may also respond to different scenarios about our settlements and the environment.
keywords Dynamic simulation; data-driven design; multi-agent systems; computational tools
series eCAADe
email Y.Zavoleas@newcastle.edu.au
last changed 2017/09/13 13:12

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