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	cf2017_414
id	cf2017_414
authors	Shireen, Naghmi; Erhan, Halil; Woodbury, Robert; Wang, Ivy
year	2017
title	Making Sense of Design Space: What Designers do with Large Numbers of Alternatives?
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. 414.
summary	Today’s generative design tools and large screen displays present opportunities for designers to explore large number of design alternatives. Besides numerous studies in design, the act of exploring design space is yet to be integrated in the design of new digital media. To understand how designer’s search patterns will uncover when provided with a gallery of large numbers of design solutions, we conducted a lab experiment with nine designers. Particularly the study explored how designers used spatial structuring of their work environment to make informed design decisions. The results of the study present intuitions for development of next generation front-end gallery interfaces for managing a large set of design variations while enabling simultaneous editing of design parameters.
keywords	Parametric design, Alternatives, Design space exploration, New interfaces, New media, Protocol analysis, User study
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2017_157
id	ecaade2017_157
authors	Date, Kartikeya, Schaumann, Davide and Kalay, Yehuda E.
year	2017
title	A Parametric Approach To Simulating Use-Patterns in Buildings - The Case Of Movement
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. 503-510
doi	https://doi.org/10.52842/conf.ecaade.2017.2.503
summary	We describe one of the three core use-pattern building blocks of a parametric approach to simulating use-patterns in buildings. Use-patterns are modeled as events which use specified descriptions of spaces, actors and activities which constitute them. The simulation system relies on three fundamental patterns of use - move, meet and do. The move pattern is considered in detail in this paper with specific reference to what we term the partial knowledge issue. Modeling decision making about how to move through the space (what path to take) depends on modeling the actor's partial access to knowledge. Visibility is used as an example of partial knowledge. The parametric approach described in the paper enables the clear separation of syntactical and semantic conditions which inform decisions and the coordination of decisions made by agents in a simulation of use-patterns. This approach contributes to extending the analytical capability of Building Information Models from the point of view of evaluating how a proposed building design may be used, given complex, interrelated patterns of use.
keywords	Agent-Based Systems, Simulation, Use-Patterns, Design Tools
series	eCAADe
email
last changed	2022/06/07 07:55

_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
doi	https://doi.org/10.52842/conf.acadia.2017.426
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
last changed	2022/06/07 07:58

_id	caadria2017_074
id	caadria2017_074
authors	Erhan, Halil, Chan, Janelynn, Fung, Gilbert, Shireen, Naghmi and Wang, Ivy
year	2017
title	Understanding Cognitive Overload in Generative Design - An Epistemic Action Analysis
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. 127-136
doi	https://doi.org/10.52842/conf.caadria.2017.127
summary	Choice overload is experienced when designers use generative systems to explore a large number of alternatives. In an experiment, we studied the epistemic actions designers perform to reduce their cognitive load caused by possible choice overload during design exploration. The participants were asked to select alternatives among a large set of solutions in a simulated design environment. For data encoding, we adapted an epistemic action analysis method to understand which actions occurs in what phase of design. Most epistemic actions are observed during criteria applying phase. The most frequent actions were 'clustering and grouping' and 'talking and gestures to guide attention'. Ultimately our goal is to answer if a system can alleviate the possible cognitive overload when working with a large number of alternatives, if so how they would look when implemented.
keywords	generative design; parametric modeling; cognitive overload; selection; epistemic actions
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2017_015
id	caadria2017_015
authors	Pelosi, Antony
year	2017
title	Where am I? - Spatial Cognition Inside Building Information Models
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. 643-652
doi	https://doi.org/10.52842/conf.caadria.2017.643
summary	How do we know what we are looking at while viewing inside Building Information Modelling (BIM) models? Current architectural software typically provides disconnected methods of aiding spatial cognition. There is a strong history of navigation tools developed for controlling our exploration and movement in BIM models, a study by Ruby Darken and John Sibert (1993) found these tools had a strong influence on people's behaviour and understanding of digital space. People perceive and navigate space differently depending on their individual experience with a BIM model, designers and architects build up a detailed cognitive map during the design of a project, while other people have a less detailed comprehension of a project, having only been exposed to select views. This paper will outline key strategies to improve how people comprehend digital space, supporting people in understanding distance and size while inside BIM models. Three design research projects will be presented. The result of the projects define three strategies; Architectural wayshowing, interior-aware transitions, and distance confirmation. Architectural wayshowing needs to be implemented during the design phase, while the remaining two need to be introduced into BIM editing and viewing software.
keywords	Whiteout; wayshowing; spatial cognition; navigation; BIM
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2017_199
id	ecaade2017_199
authors	Al-Douri, Ph.D., Firas
year	2017
title	Computational and Modeling Tools - How effectively are Urban Designers and Planners using them Across the Design Development Process?
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. 409-418
doi	https://doi.org/10.52842/conf.ecaade.2017.1.409
summary	Literature suggests that despite the increasing range and variety of computational tools and technologies, they have not really been employed for designing as extensively as it might be. This is due in part to the numerous challenges and impediments limiting their effective usage such as the methodological, procedural, and substantive factors and limitations, and skepticism about their impact of usage on the design process and outcome. The gap in our understanding of how advanced computational tools could support the design activities and design decision-making has expanded considerably to become a new area of inquiry with considerable room for the expansion of knowledge. This research is a single-case study that has been pursued in two phases: literature review and survey followed by analysis and discussion of the empirical results. The empirical observations were compared to the theoretical propositions and with results of similar research to highlight the areas and the extent to what the IT tools' usage have influenced the outcome of the design process. The comparison has helped highlight, explain, and justify the mechanism and improvements in the design outcome. Please write your abstract here by clicking this paragraph.
keywords	Computational urban design; Urban Design Practice
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cf2017_101
id	cf2017_101
authors	Chen, Nai Chun; Zhang, Yan; Stephens, Marrisa; Nagakura, Takehiko; Larson, Kent
year	2017
title	Urban Data Mining with Natural Language Processing: Social Media as Complementary Tool for Urban Decision Making
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. 101-109.
summary	The presence of web2.0 and traceable mobile devices creates new opportunities for urban designers to understand cities through an analysis of user-generated data. The emergence of “big data” has resulted in a large amount of information documenting daily events, perceptions, thoughts, and emotions of citizens, all annotated with the location and time that they were recorded. This data presents an unprecedented opportunity to gauge public opinion about the topic of interest. Natural language processing with social media is a novel tool complementary to traditional survey methods. In this paper, we validate these methods using tourism data from Trip-Advisor in Andorra. “Natural language processing” (NLP) detects patterns within written languages, enabling researchers to infer sentiment by parsing sentences from social media. We applied sentiment analysis to reviews of tourist attractions and restaurants. We found that there were distinct geographic regions in Andorra where amenities were reviewed as either uniformly positive or negative. For example, correlating negative reviews of parking availability with land use data revealed a shortage of parking associated with a known traffic congestion issue, validating our methods. We believe that the application of NLP to social media data can be a complementary tool for urban decision making.
keywords	Short Paper, Urban Design Decision Making, Social Media, Natural Language Processing
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	ecaade2017_144
id	ecaade2017_144
authors	Lange, Christian J.
year	2017
title	Elements \| robotic interventions II
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. 671-678
doi	https://doi.org/10.52842/conf.ecaade.2017.1.671
summary	Reviewing the current research trends in robotic fabrication around the world, the trajectory promises new opportunities for innovation in Architecture and the possible redefinition of the role of the Architect in the industry itself. New entrepreneurial, innovative start-ups are popping up everywhere challenging the traditional model of the architect. However, it also poses new questions and challenges in the education of the architect today. What are the appropriate pedagogical methods to instill enthusiasm for new technologies, materials, and craft? How do we avoid the pure application of pre-set tools, such as the use of the laser cutter has become, which in many schools around the world has caused problems rather than solving problems? How do we teach students to invent their tools especially in a society that doesn't have a strong background in the making? The primary focus of this paper is on how architectural CAAD/ CAM education through the use of robotic fabrication can enhance student's understanding, passion and knowledge of materiality, technology, and craftsmanship. The paper is based on the pedagogical set-up and method of an M. Arch I studio that was taught by the author in fall 2016 with the focus on robotic fabrication, materiality, traditional timber construction systems, tool design and digital and physical craftsmanship.
keywords	CAAD Education, Digital Technology, Craftsmanship, Material Studies, Tool Design, Parametric Modeling, Robotic Fabrication
series	eCAADe
email
last changed	2022/06/07 07:52

_id	cf2017_042
id	cf2017_042
authors	Pinochet, Diego
year	2017
title	Discrete Heuristics: Digital design and fabrication through shapes and material computation
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. 42.
summary	In the case of designers, architects and arts, tools are part of a repertoire of cognitive, symbolic, and semiotic artifacts with which each explores and learn about design problems. Nonetheless, when using digital fabrication tools, a dichotomy between what is ideated and what is made appears as an evident problem since many of the perceptual aspects of sensing and thinking about new things in the making are neglected. It is argued that this establishes a dichotomy between what is ideated and what is executed as an outcome from that idea. How designers can think, learn and augment their creativity by using digital tools in a more relational, exploratory, interactive and creative way? Furthermore, how can we teach design using contemporary fabrication tools beyond its representational capabilities? This paper explores the richness of using digital fabrication tools through the lens of shapes grammars as a design paradigm in order to extend computational making including digital fabrication tools, gestures and material behavior as crucial actors of the design process. Through the use of discrete heuristics - that is, the elaboration of deictic rules for computation with physical objects, materials and fabrication tools in a precise yet perceptual way- this paper shows experiments inside a third year design studio to overcome the hylomorphism present in the digital design and make dichotomy.
keywords	Digital fabrication, Computational making, Human computer interaction, Shape grammars
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	acadia17_138
id	acadia17_138
authors	Berry, Jaclyn; Park, Kat
year	2017
title	A Passive System for Quantifying Indoor Space Utilization
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. 138-145
doi	https://doi.org/10.52842/conf.acadia.2017.138
summary	This paper presents the development of a prototype for a new sensing device for anonymously evaluating space utilization, which includes usage factors such as occupancy levels, congregation and circulation patterns. This work builds on existing methods and technology for measuring building performance, human comfort and occupant experience in post-occupancy evaluations as well as pre-design strategic planning. The ability to collect data related to utilization and occupant experience has increased significantly due to the greater accessibility of sensor systems in recent years. As a result, designers are exploring new methods to empirically verify spatial properties that have traditionally been considered more qualitative in nature. With this premise, this study challenges current strategies that rely heavily on manual data collection and survey reports. The proposed sensing device is designed to supplement the traditional manual method with a new layer of automated, unbiased data that is capable of capturing environmental and social qualities of a given space. In a controlled experiment, the authors found that the data collected from the sensing device can be extrapolated to show how layout, spatial interventions or other design factors affect circulation, congregation, productivity, and occupancy in an office setting. In the future, this sensing device could provide designers with real-time feedback about how their designs influence occupants’ experiences, and thus allow the designers to base what are currently intuition-based decisions on reliable data and evidence.
keywords	design methods; information processing; smart buildings; IoT
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_202
id	acadia17_202
authors	Cupkova, Dana; Promoppatum, Patcharapit
year	2017
title	Modulating Thermal Mass Behavior Through Surface Figuration
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. 202-211
doi	https://doi.org/10.52842/conf.acadia.2017.202
summary	This research builds upon a previous body of work focused on the relationship between surface geometry and heat transfer coefficients in thermal mass passive systems. It argues for the design of passive systems with higher fidelity to multivariable space between performance and perception. Rooted in the combination of form and matter, the intention is to instrumentalize design principles for the choreography of thermal gradients between buildings and their environment from experiential, spatial and topological perspectives (Figure 1). Our work is built upon the premise that complex geometries can be used to improve both the aesthetic and thermodynamic performance of passive building systems (Cupkova and Azel 2015) by actuating thermal performance through geometric parameters primarily due to convection. Currently, the engineering-oriented approach to the design of thermal mass relies on averaged thermal calculations (Holman 2002), which do not adequately describe the nuanced differences that can be produced by complex three-dimensional geometries of passive thermal mass systems. Using a combination of computational fluid dynamic simulations with physically measured data, we investigate the relationship of heat transfer coefficients related to parameters of surface geometry. Our measured results suggest that we can deliberately and significantly delay heat absorption re-radiation purely by changing the geometric surface pattern over the same thermal mass. The goal of this work is to offer designers a more robust rule set for understanding approximate thermal lag behaviors of complex geometric systems, with a focus on the design of geometric properties rather than complex thermal calculations.
keywords	design methods; information processing; physics; smart materials
series	ACADIA
email
last changed	2022/06/07 07:56

_id	acadia17_482
id	acadia17_482
authors	Penman, Scott
year	2017
title	Toward Computational Play
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. 482- 491
doi	https://doi.org/10.52842/conf.acadia.2017.482
summary	The day is not far off when autonomous, artificially intelligent agents will be employed in creative industries such as architecture and design. Artificial intelligence is rapidly becoming ubiquitous, and it has absorbed many capabilities once thought beyond its reach. As such, it is critical that we reflect on the relationship between AI and design. Design is often tasked with pushing the envelope in the quest for novel meaning and experience. Designers can’t always rely upon existing models to judge their work. Operating like this requires a curious and open mind, a willingness to eschew reward and occasionally break the rules, and a desire to explore for the sake of exploring. These behaviors fly in the face of traditional implementations of computation and raise difficult questions about the autonomy and subjectivity of artificially intelligent machines. This paper proposes computational play as a field of research that covers how and why designers roam as freely as they do, what the creative potential of such exploration might be, and how such techniques might responsibly be implemented in computational machines. The work argues that autotelism, defined as internal motivation, is an essential aspect of play and outlines how it can be incorporated in a computational framework. The work also demonstrates a proof-of-concept in the form of an autonomous drawing machine that is able to plot a drawing, view the drawing, and make decisions based on what it sees, bringing computational vision and computational drawing together into a cyclical process that permits the use of autotelic play behavior.
keywords	design methods; information processing; art and technology; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 08:00

_id	acadia17_552
id	acadia17_552
authors	Sjoberg, Christian; Beorkrem, Christopher; Ellinger, Jefferson
year	2017
title	Emergent Syntax: Machine Learning for the Curation of Design Solution Space
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. 552- 561
doi	https://doi.org/10.52842/conf.acadia.2017.552
summary	The expanding role of computational models in the process of design is producing exponential growth in parameter spaces. As designers, we must create and implement new methods for searching these parameter spaces, considering not only quantitative optimization metrics but also qualitative features. This paper proposes a methodology that leverages the pattern modeling properties of artificial neural networks to capture designers' inexplicit selection criteria and create user-selection-based fitness functions for a genetic solver. Through emulation of learned selection patterns, fitness functions based on trained networks provide a method for qualitative evaluation of designs in the context of a given population. The application of genetic solvers for the generation of new populations based on the trained network selections creates emergent high-density clusters in the parameter space, allowing for the identification of solutions that satisfy the designer’s inexplicit criteria. The results of an initial user study show that even with small numbers of training objects, a search tool with this configuration can begin to emulate the design criteria of the user who trained it.
keywords	design methods; information processing; AI; machine learning; generative system
series	ACADIA
email
last changed	2022/06/07 07:56

_id	ijac201715402
id	ijac201715402
authors	Alaçam, Sema; Orkan Zeynel Güzelci, Ethem Gürer and Saadet Zeynep Bac?noglu
year	2017
title	Reconnoitring computational potentials of the vault-like forms: Thinking aloud on muqarnas tectonics
source	International Journal of Architectural Computing vol. 15 - no. 4, 285-303
summary	This study sheds light on a holistic understanding of muqarnas with its historical, philosophical and conceptual backgrounds on one hand and formal, structural and algorithmic principles on the other hand. The vault-like Islamic architectural element, muqarnas, is generally considered to be a non-structural decorative element. Various compositional approaches have been proposed to reveal the inner logic of these complex geometric elements. Each of these approaches uses different techniques such as measuring, unit-based decoding or three-dimensional interpretation of two-dimensional patterns. However, the reflections of the inner logic onto different contexts, such as the usage of different initial geometries, materials or performative concerns, were neglected. In this study, we offer a new schema to approach the performative aspects of muqarnas tectonics. This schema contains new sets of elements, properties and relations deriving partly from previous approaches and partly from the technique of folding. Thus, this study first reviews the previous approaches to analyse the geometric and constructional principles of muqarnas. Second, it explains the proposed scheme through a series of algorithmic form-finding experiments. In these experiments, we question whether ‘fold’, as one of the performative techniques of making three-dimensional forms, contributes to the analysis of muqarnas in both a conceptual and computational sense. We argue that encoding vault-like systems via geometric and algorithmic relations based on the logic of the ‘fold’ provides informative and intuitive feedback for form-finding, specifically in the earlier phases of design. While focusing on the performative potential of a specific fold operation, we introduced the concept of bifurcation to describe the generative characteristics of folding technique and the way of subdividing the form with respect to redistribution of the forces. Thus, in this decoding process, the bifurcated fold explains not only to demystify the formal logic of muqarnas but also to generate new forms without losing contextual conditions.
keywords	Muqarnas, vault, layering, folding, force flow, bifurcation
series	journal
email
last changed	2019/08/07 14:03

_id	acadia17_128
id	acadia17_128
authors	Bacharidou, Maroula
year	2017
title	Touch, See, Make: Employing Active Touch in Computational Making
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. 128-137
doi	https://doi.org/10.52842/conf.acadia.2017.128
summary	In architectural education and practice, we don’t come in physical contact with what we make until the later stages of the design process. This vision-oriented approach to design is something deeply rooted in architectural practice: from Alberti’s window to the screens of our computers, design has traditionally been more of a visual and less of a hands-on process. The vision of the presented study is that if we want to understand the way we make in order to improve tools for computational design and making, we need to understand how our ability to make things is enhanced by both our visual and tactile mechanisms. Bringing the notion of active touch from psychology into the design studio, I design and execute a series of experiments investigating how seeing, touching, or seeing and touching exhibit different sensory competencies, and how these competencies are expressed through the process of making. The subjects of the experiment are asked to tactilely, visually, or tactilely and visually observe a three-dimensional object, create descriptions of its composition, and to remake it based on their experience of it using plastic materials. After the execution of the experiment, I analyze twenty-one reproductions of the original object; I point to ways in which touch can detect scale and proportions more accurately than vision, while vision can detect spatial components more efficiently than touch; I then propose ways in which this series of experiments can lead to the creation of new design and making tools.
keywords	education society & culture; computational / artistic culture;s hybrid practices; digital craft; manual craft
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_238
id	acadia17_238
authors	El-Zanfaly, Dina
year	2017
title	A Multisensory Computational Model for Human-Machine Making and Learning
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. 238-247
doi	https://doi.org/10.52842/conf.acadia.2017.238
summary	Despite the advancement of digital design and fabrication technologies, design practices still follow Alberti’s hylomorphic model of separating the design phase from the construction phase. This separation hinders creativity and flexibility in reacting to surprises that may arise during the construction phase. These surprises often come as a result of a mismatch between the sophistication allowed by the digital technologies and the designer’s experience using them. These technologies and expertise depend on one human sense, vision, ignoring other senses that could be shaped and used in design and learning. Moreover, pedagogical approaches in the design studio have not yet fully integrated digital technologies as design companions; rather, they have been used primarily as tools for representation and materialization. This research introduces a multisensory computational model for human-machine making and learning. The model is based on a recursive process of embodied, situated, multisensory interaction between the learner, the machines and the thing-in-the-making. This approach depends heavily on computational making, abstracting, and describing the making process. To demonstrate its effectiveness, I present a case study from a course I taught at MIT in which students built full-scale, lightweight structures with embedded electronics. This model creates a loop between design and construction that develops students’ sensory experience and spatial reasoning skills while at the same time enabling them to use digital technologies as design companions. The paper shows that making can be used to teach design while enabling the students to make judgments on their own and to improvise.
keywords	education, society & culture; fabrication
series	ACADIA
email
last changed	2022/06/07 07:55

_id	cf2017_533
id	cf2017_533
authors	El-Zanfaly, Dina; Abdelmohsen, Sherif
year	2017
title	Imitation in Action: A Pedagogical Approach for Making Kinetic Structures
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. 533-545.
summary	One of the problems in teaching students how to design kinetic architecture is the difficulty of helping them grasp concepts like motion, physical computing and fabrication, concepts not generally dealt with in conventional architectural projects. In this paper, we introduce a pedagogical method for better utilizing prototyping and explore the role prototyping plays in learning and conceptualizing design ideas. Our method is based on building the learner’s sensory experience through iteration and focusing on the process as well as the product. Specifically, our research attempts to address the following questions: How can architecture students anticipate and feel motion while they design kinetic prototypes? How do their prototypes enable them to explore design ideas? As a case study, we applied our methodology in an 8-week workshop in a fabrication laboratory in Cairo, Egypt. The workshop was open to young architects and students who had completed at least four semesters of study at the university. We describe the pedagogical approach we developed to build the sensory experience of making motion, and demonstrate the basic setting and stages of the workshop. We show how a cyclical learning process, based on perception and action -- copying and iteration -- contributed to the students’ learning experience and enabled them to create and improvise on their own.
keywords	Kinetic Architecture, Digital Fabrication, Sensory Experience, Computational Making, Imitation
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	cf2017_597
id	cf2017_597
authors	Gül, Leman Figen; Uzun, Can; Halici, Süheyla Müge
year	2017
title	Studying Co-design: How Place and Representation Would Change the Codesign Behavior?
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. 597.
summary	This paper reports the results of a protocol study which explores behavior of designers while they design in pairs using sketching (analogue and remote) and 3D modeling tools (co-located and remote) in co-located and remote locations. The design protocol videos were collected, transcribed, segmented and coded with the customized coding scheme. The coded protocol data was examined to understand the changes of designers’ co-design process and their activities of making representation in four different settings. This paper discusses the impact of location and types of representation on collaborative design. The paper concludes that designers were able to adapt their collaboration and design strategies in accordance with the affordability of the used digital environments.
keywords	Collaborative design, Remote sketching, Augmented reality, Virtual worlds, Protocol analysis
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	caadria2019_626
id	caadria2019_626
authors	Hahm, Soomeen, Maciel, Abel, Sumitiomo, Eri and Lopez Rodriguez, Alvaro
year	2019
title	FlowMorph - Exploring the human-material interaction in digitally augmented craftsmanship
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 553-562
doi	https://doi.org/10.52842/conf.caadria.2019.1.553
summary	It has been proposed that, after the internet age, we are now entering a new era of the '/Augmented Age/' (King, 2016). Physician Michio Kaku imagined the future of architects will be relying heavily on Augmented Reality technology (Kaku, 2015). Augmented reality technology is not a new technology and has been evolving rapidly. In the last three years, the technology has been applied in mainstream consumer devices (Coppens, 2017). This opened up possibilities in every aspect of our daily lives and it is expected that this will have a great impact on every field of consumer's technology in near future, including design and fabrication. What is the future of design and making? What kind of new digital fabrication paradigm will emerge from inevitable technological development? What kind of impact will this have on the built environment and industry? FlowMorph is a research project developed in the Bartlett School of Architecture, B-Pro AD with the collaboration of the authors and students as a 12 month MArch programme, we developed a unique design project trying to answer these questions which will be introduced in this paper.
keywords	Augmented Reality, Mixed Reality, Virtual Reality, Design Augmentation, Digital Fabrication, Cognition models, Conceptual Designing, Design Process, Design by Making, Generative Design, Computational Design, Human-Machine Collaboration, Human-Computer Collaboration, Human intuition in digital fabrication
series	CAADRIA
email
last changed	2022/06/07 07:51

_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

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