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	ascaad2016_058
id	ascaad2016_058
authors	Assassi, Abdelhalim; Djemaa Benmechirah and Rachida Samai
year	2016
title	Visibility Map - Exploratory study of urban planning for future city design
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 579-588
summary	Through space we can read the acts and the daily activities of human being and, we can also understand different interactions within any social unit. This paper explain how specially the space type can interpret why the human being derives to a negative behavior like "Crime". So, in this study we adopt the visibility approach which is developed by the laboratory of space syntax (UCL), and which makes a sense for the link between the space design and its use and its positive or negative social consequences in the future. Then, the purpose of this paper is to present the importance of the use of visibility map which can also be an outlook approach for detecting potential hot-spots in urban planning designs specially of new cities, for avoiding the negative using of urban spaces like "Crime" in the future. The case of study is the new city of Ali Mendjeli (Constantine - Algeria), the capital of the East of Algeria known by a very fast demographic and urban growth. After analyzing a central urban neighborhood of this city using Depthmap, we found thirty-four hot-spots which can be appropriate spaces for the exercise of crime in the future, and we found that this point was downplayed in the urban planning designs before the realization of Ali Mendjeli new city.
series	ASCAAD
email
last changed	2017/05/25 13:34

_id	ascaad2007_039
id	ascaad2007_039
authors	Bakr, A.F.; I. Diab and D. Saadallah
year	2007
title	Detecting Inefficient Lighting Solutions: Step-by-Step Geographic information system (GIS) Technique
source	Em‘body’ing Virtual Architecture: The Third International Conference of the Arab Society for Computer Aided Architectural Design (ASCAAD 2007), 28-30 November 2007, Alexandria, Egypt, pp. 491-504
summary	Outdoor lighting is used to illuminate roadways, parking lots, yards, sidewalks, public meeting areas, signs, work sites, and buildings. It provides us with better visibility and a sense of security. When well designed and properly installed, outdoor lighting can be and is very useful in improving visibility and safety and a sense of security, while at the same time minimizing energy use and operating costs. But, because nobody thought at this, most street lights shine light not only on the nearby ground, where is needed, but also miles away and skywards. Thus a large fraction of the light is lost, at consumer expense and without his/her consent. In the other hand, shortage in street light may cause more crimes as well as accidents. Most of the wasted or short light comes from the poorly designed street lights. Billboards, decorative lights, poorly shielded security lights are part of the problem too, but the main culprit for the waste and ugly glow one sees above one's head at nights is from the streetlights. Thus, recent computer technology gives us tools to be employed for testing the quality of light. Geographic Information System (GIS) software could be utilized to achieve that mission through applying mapping technique. This technique could analyze digital photographs and define light polluted areas as well as bad lighted. This paper reveals that step by step technique, which employs hybrid technologies to solve such problem for better planning decisions.
series	ASCAAD
last changed	2008/01/21 22:00

_id	caadria2021_088
id	caadria2021_088
authors	Batalle Garcia, Anna, Cebeci, Irem Yagmur, Vargas Calvo, Roberto and Gordon, Matthew
year	2021
title	Material (data) Intelligence - Towards a Circular Building Environment
doi	https://doi.org/10.52842/conf.caadria.2021.1.361
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 361-370
summary	The integration of repurposed material in new construction products generates resiliency strategies that diminish the dependency on raw resources and reduce the CO2 emissions produced by their extraction, transportation, and manufacturing. This research emphasizes the need to expand preliminary data collation from pre-demolition sites to inform early design decisions. Material (data) Intelligence investigates how the merging of artificial intelligence and data analysis could have a crucial impact on achieving widespread material reuse. The first step consists of automating the process of detecting materials and construction elements from pre-demolition sites through drone photography and computer vision. The second part of the research links the resulting database with a computational design tool that can be integrated into construction software. This paper strengthens the potential of circular material flows in a digital paradigm and exposes the capability for constructing big data sets of reusable materials, digitally available, for sharing and organizing material harvesting.
keywords	computer vision; material database; automation; reclaimed material; digitalization
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2015_sp_10.16
id	sigradi2015_sp_10.16
authors	Bertoldi, Cristiane Aun; Hanns, Daniela Kutschat
year	2015
title	Using Photographs of Physical Models to Visualize Design Opportunities and Problems
source	SIGRADI 2015 [Proceedings of the 19th Conference of the Iberoamerican Society of Digital Graphics - vol. 2 - ISBN: 978-85-8039-133-6] Florianópolis, SC, Brasil 23-27 November 2015, pp. 810-814.
summary	This paper looks at photographic documentation as a resource for detecting errors, identifying possible design principles and providing guidance for the development of student projects in the course AUP2418 – Three Dimensional Models of the undergraduate curriculum at the Faculty of Architecture and Urban Studies at USP in S?o Paulo, Brazil. This article deals with teaching industrial design models and describes the methodological basis adopted. It also offers examples and analyzes the construction and use of models in order to demonstrate the relevance of photographic documentation during the design process.
keywords	Physical Models, Design, Photography, Teaching, FAUUSP
series	SIGRADI
email
last changed	2016/03/10 09:47

_id	00bc
authors	Chen, Chen-Cheng
year	1991
title	Analogical and inductive reasoning in architectural design computation
source	Swiss Federal Institute of Technology, ETH Zurich
summary	Computer-aided architectural design technology is now a crucial tool of modern architecture, from the viewpoint of higher productivity and better products. As technologies advance, the amount of information and knowledge that designers can apply to a project is constantly increasing. This requires development of more advanced knowledge acquisition technology to achieve higher functionality, flexibility, and efficient performance of the knowledge-based design systems in architecture. Human designers do not solve design problems from scratch, they utilize previous problem solving episodes for similar design problems as a basis for developmental decision making. This observation leads to the starting point of this research: First, we can utilize past experience to solve a new problem by detecting the similarities between the past problem and the new problem. Second, we can identify constraints and general rules implied by those similarities and the similar parts of similar situations. That is, by applying analogical and inductive reasoning we can advance the problem solving process.The main objective of this research is to establish the theory that (1) design process can be viewed as a learning process, (2) design innovation involves analogical and inductive reasoning, and (3) learning from a designer's previous design cases is necessary for the development of the next generation in a knowledge-based design system. This thesis draws upon results from several disciplines, including knowledge representation and machine learning in artificial intelligence, and knowledge acquisition in knowledge engineering, to investigate a potential design environment for future developments in computer-aided architectural design. This thesis contains three parts which correspond to the different steps of this research. Part I, discusses three different ways - problem solving, learning and creativity - of generating new thoughts based on old ones. In Part II, the problem statement of the thesis is made and a conceptual model of analogical and inductive reasoning in design is proposed. In Part III, three different methods of building design systems for solving an architectural design problem are compared rule-based, example-based, and case-based. Finally, conclusions are made based on the current implementation of the work, and possible future extensions of this research are described. It reveals new approaches for knowledge acquisition, machine learning, and knowledge-based design systems in architecture.
series	thesis:PhD
email
last changed	2003/05/10 05:42

_id	82cd
authors	Comba, Paul G.
year	1968
title	A Procedure for Detecting Intersections of Three-Dimensional Objects
source	Journal of the Association for Computing Machinery. July, 1968. vol. 15: pp. 354-366 ; ill. includes bibliography
summary	As a step toward the solution of the placement problem in engineering design, a procedure has been developed for detecting intersections of convex regions in 3-space by means of a pseudocharacteristic function. The mathematical techniques underlying the procedure are discussed, and a system of programs embodying these techniques is described. As a special case a solution is given for the hidden-line problem in graphic display
keywords	intersection, interference, engineering, design, modeling, computer graphics, hidden lines, computational geometry, algorithms
series	CADline
last changed	2003/06/02 13:58

_id	sigradi2016_488
id	sigradi2016_488
authors	Gutiérrez, Claudio Araneda; Laurie, Braulio Gaticas
year	2016
title	Hacia una Instantánea Urbana. Captura, Lectura y Manejo Automático de Información en Forma de Personas a Partir de Registros Videográficos a Nivel de Observador [Towards an Urban Instant. Automatic Reading of Information in the Shape of People at Observer Level]
source	SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.625-629
summary	People detection remains a challenging field within computer vision, the focus being placed mainly on the quantification of discreet amount of people. This paper reports on the progress related to the Urban Instant Project and deals specifically with a first attempt at automatically detecting and quantifying the continuous amount of people present in any given video record of the same format taken from a walking observer point of view. In order to do so, we use the optical flow approach to image reading. This yields a first quantification of information in the shape of people within the total field of vision.
keywords	Urban Instant; People Detection; Computer Vision; Observer; Phenomenology
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2006_425
id	caadria2006_425
authors	HONG-SHENG CHEN, YU-SHU CHEN
year	2006
title	GENERATING VIRTUAL LANDSCAPES BY DETECTING HUMAN-ENVIRONMENT INTERACTION: For Assisting Disabled Passengers at Airports
doi	https://doi.org/10.52842/conf.caadria.2006.x.b3k
source	CAADRIA 2006 [Proceedings of the 11th International Conference on Computer Aided Architectural Design Research in Asia] Kumamoto (Japan) March 30th - April 2nd 2006, 425-431
summary	The goal of this research is to explore a potential application of human-environment interaction at international airports. It is a system for generating delightful interior virtual landscape from the sensors, which are sensitive to the passengers’ various movements. For the disabled passengers, this research analyses how to assist them for visual relaxing and entertainment.
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2020_222
id	ecaade2020_222
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2020
title	Automatic Generation of Horizontal Building Mask Images by Using a 3D Model with Aerial Photographs for Deep Learning
doi	https://doi.org/10.52842/conf.ecaade.2020.2.271
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 271-278
summary	Information extracted from aerial photographs is widely used in urban planning and design. An effective method for detecting buildings in aerial photographs is to use deep learning for understanding the current state of a target region. However, the building mask images used to train the deep learning model are manually generated in many cases. To solve this challenge, a method has been proposed for automatically generating mask images by using virtual reality 3D models for deep learning. Because normal virtual models do not have the realism of a photograph, it is difficult to obtain highly accurate detection results in the real world even if the images are used for deep learning training. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D models with textured aerial photographs for deep learning. The model trained on datasets generated by the proposed method could detect buildings in aerial photographs with an accuracy of IoU = 0.622. Work left for the future includes changing the size and type of mask images, training the model, and evaluating the accuracy of the trained model.
keywords	Urban planning and design; Deep learning; Semantic segmentation; Mask image; Training data; Automatic design
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2021_117
id	caadria2021_117
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Can a Generative Adversarial Network Remove Thin Clouds in Aerial Photographs? - Toward Improving the Accuracy of Generating Horizontal Building Mask Images for Deep Learning in Urban Planning and Design
doi	https://doi.org/10.52842/conf.caadria.2021.2.377
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 377-386
summary	Information extracted from aerial photographs is widely used in the fields of urban planning and architecture. An effective method for detecting buildings in aerial photographs is to use deep learning to understand the current state of a target region. However, the building mask images used to train the deep learning model must be manually generated in many cases. To overcome this challenge, a method has been proposed for automatically generating mask images by using textured 3D virtual models with aerial photographs. Some aerial photographs include thin clouds, which degrade image quality. In this research, the thin clouds in these aerial photographs are removed by using a generative adversarial network, which leads to improvements in training accuracy. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D virtual models with textured aerial photographs to enable the removable of thin clouds so that the image can be used for deep learning. A model trained on datasets generated by the proposed method was able to detect buildings in aerial photographs with an accuracy of IoU = 0.651.
keywords	Urban planning and design; Deep learning; Generative Adversarial Network (GAN); Semantic segmentation; Mask image
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	cf2019_022
id	cf2019_022
authors	Koh, Immanuel and Jeffrey Huang
year	2019
title	Citizen Visual Search Engine:Detection and Curation of Urban Objects
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 170
summary	Increasingly, the ubiquity of satellite imagery has made the data analysis and machine learning of large geographical datasets one of the building blocks of visuospatial intelligence. It is the key to discover current (and predict future) cultural, social, financial and political realities. How can we, as designers and researchers, empower citizens to understand and participate in the design of our cities amid this technological shift? As an initial step towards this broader ambition, a series of creative web applications, in the form of visual search engines, has been developed and implemented to data mine large datasets. Using open sourced deep learning and computer vision libraries, these applications facilitate the searching, detecting and curating of urban objects. In turn, the paper proposes and formulates a framework to design truly citizen-centric creative visual search engines -- a contribution to citizen science and citizen journalism in spatial terms.
keywords	Deep Learning, Computer Vision, Satellite Imagery, Citizen Science, Artificial Intelligence
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	4e59
authors	Koparkar, P. A. and Mudur, S.P.
year	1986
title	Generation of Continuous Smooth Curves Resulting from Operations on Parametric Surface Patches
source	Computer Aided Design. May, 1986. pp. 193-206 : ill. includes bibliography
summary	In recent years a number of techniques based on the subdivision principle have been suggested for detecting the curves resulting from the intersection of two parametrically defined surface patches. Silhouette curves of surfaces can also be detected using analogous techniques. Usually the output is a set of pixels or line segments which form the complete curve, though not necessarily in an ordered manner. This paper presents data structures for maintaining the result of subdivision, and algorithms for tracing the curves in a continuous fashion. Using a few iterations of the Newton-Raphson technique the curve points may be refined to any required precision. For each point on the curve the nonlinear equations are chosen by looking at the local topological nature of the curve so as to guarantee convergence of the Newton-Raphson technique in one or two iterations
keywords	curved surfaces, parametrization, curves, intersection, relaxation, geometric modeling, computational geometry
series	CADline
last changed	2003/06/02 14:41

_id	caadria2019_403
id	caadria2019_403
authors	Lin, Xuhui and Muslimin, Rizal
year	2019
title	RESHAPE - Rapid forming and simulation system using unmanned aerial vehicles for architectural representation
doi	https://doi.org/10.52842/conf.caadria.2019.1.413
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. 413-422
summary	As digital technology advances, multiple ways of repre-senting objects interactively in space, architects and designers begin to use Virtual Reality (VR) and Immersive Digital Environ-ments (IDE) to communicate their ideas. However, these technolo-gies are bounded with their spatial limitations. In responding to this issue, our paper introduces ReShape, a digital-physical spatial representation system supported by Unmanned Aerial Vehicle (UAV) swarm technology that allows a user to project their unbuilt design and interact with them in real space, unattached by headset, fixed cameras or screen. ReShape can be controlled by user orien-tation and gesture as an input, where the real-time feedback is provided by UAV spatial arrangement in space, augmented by computational simulation. Spatial data is transmitted between the UAV agents for the user to experience the digital model, creating a versatile and computationally efficient platform to edit and en-hance the design in real-space. This paper outlines four systems in ReShape, i.e., (1) detection system to identify and locate the user position and orientation; (2) task-arrangement system to provide spatial information to the UAV agents; (3) UAV's communicating system to control the UAV position and task in space; and (4) Physical-Digital forming system, to project digital simulation by the UAV agents.
keywords	UAV system; Spatial representation; a detecting sys-tem; human-computation interaction
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	12fd
authors	Lorenc, S.J. and Bernold, L.E.
year	1998
title	Excavator-mounted ordnance locating system using electromagnetic sensing technology
source	Automation in Construction 7 (4) (1998) pp. 243-258
summary	There are in excess of 20 million acres of bomb and artillery ranges under the control of the Department of Defense (DoD). Each year some 800,000 to 2,000,000 km2 are turned over to civilian (private or commercial) use. Some of this land is contaminated with buried unexploded ordnance (UXO). These UXOs present a safety hazard and raise many environmental concerns. In addition to inaccurate locating, one of the most difficult aspects for the operator of an excavator is the inability to see the target ordnance while it is covered with soil and debris. This paper presents a system which is mounted to the arm of an excavator and is capable of detecting a buried UXO located in the path of an excavator's bucket. Also, the system is able to determine the precise location of the ordnance relative to the excavator's bucket. This information will allow the operator not only to avoid striking the ordnance during the digging operation, but also to expose the object by removing the soil around it. This technology is also capable of locating small UXO which can be buried within the spoil material. This technology has the potential to result in savings of millions of dollars in operating costs and prevent the damage or loss of equipment.
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:22

_id	ecaade2021_046
id	ecaade2021_046
authors	Lorenz, Wolfgang E., Faller, Arnold and Wurzer, Gabriel
year	2021
title	DAttE - Detection of Attic Extensions - Workflow to analyze the potentials of roofs in an urban environment
doi	https://doi.org/10.52842/conf.ecaade.2021.1.375
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 375-384
summary	European cities like Vienna are characterized by strong growth and, as a result, by high demand for living space. Extending the attic is one way of meeting this demand. However, there is a lack of data to know which roofs are already expanded and to what extent. The city is interested in the data in two ways: firstly, in relation to the distribution of potentials (a possible change in population density, for example, has an impact on infrastructure and parking space) and, secondly, in relation to the material composition (city as a material resource). This paper provides a workflow to fill this gap of knowledge. The new methods of detecting attic extensions are described and a case study is given at the end to show workability.
keywords	point clouds; thermal detection; drone detection; participation
series	eCAADe
email
last changed	2022/06/07 07:59

_id	2006_342
id	2006_342
authors	Lyon, Eduardo
year	2006
title	Component Based Design and Digital Manufacturing - A DfM Model for Curved Surfaces Fabrication using Three Axis CNC Router
doi	https://doi.org/10.52842/conf.ecaade.2006.342
source	Communicating Space(s) [24th eCAADe Conference Proceedings / ISBN 0-9541183-5-9] Volos (Greece) 6-9 September 2006, pp. 342-350
summary	Through the use of design for manufacturing (DfM) method and looking at the relations between its potential application in architectural production and its implementation using digital manufacturing technologies, we analyze building construction processes and explore, in more detail curved surface fabrication using two dimensional cutting and three dimensional milling processes. Afterwards a DfM model for curved surfaces fabrication using three-axis computer numerical control (CNC) router is proposed. The proposed DfM model relies fundamentally in two supporting factors; the implementation of design heuristics that integrates production knowledge and the availability of some design related to production evaluation metrics. Subsequently, we test and refine the model using structured design experiences. This was accomplished by capturing new design heuristics and detecting useful evaluation metrics for production. In the final part of the research, a refined DfM model was tested in a component design case study. The case study is based on producing a curved surface module on wood for an existing proprietary component based wall system. As a summary, we conceptualize from this top-down development approach to create a design for manufacturing model that integrates design and construction in architecture, based on three possible applications fields: Design processes improvement, building production process improvement, CAD-CAM tools development. Our purpose is to provide better foundational constructs and approaches for integrating design with manufacturing in architecture.
keywords	Design for Manufacturing; Design Cognition; Digital Fabrication
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ascaad2022_022
id	ascaad2022_022
authors	Marey, Ahmed; Goubran, Sherif
year	2022
title	Low-cost Portable Wireless Electroencephalography to Detect Emotional Responses to Visual Cues: Validation and Potential Applications
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 139-154
summary	This paper validates the using a low-cost EEG headset – Emotiv Insight 2.0 – for detecting emotional responses to visual stimuli. The researchers detected, based on brainwave activity, the viewer’s emotional states in reference to a series of visuals and mapped them on valance and arousal axes. Valence in this research is defined as the viewer’s positive or negative state, and arousal is defined as the intensity of the emotion or how calm or excited the viewer is. A set of thirty images – divided into two categories: Objects and Scenes – was collected from the Open Affective Standard Image Set (OASIS) and used as a reference for validation. We collected a total of 720 data points for six different emotional states: Engagement, Excitement, Focus, Interest, Relaxation, and Stress. To validate the emotional state score generated by the EEG headset, we created a regression model using those six parameters to estimate the valence and arousal level, and compare them to values reported by OASIS. The results show the significance of the Engagement parameter in predicting the valence level in the Objects category and the significance of the Excitement parameter in the Scenes category. With the emergence of personal EEG headsets, understanding the emotional reaction in different contexts will help in various fields such as urban design, digital art, and neuromarketing. In architecture, the findings can enable designers to generate more dynamic and responsive design solutions informed by users’ emotions.
series	ASCAAD
email
last changed	2024/02/16 13:24

_id	ecaade2020_130
id	ecaade2020_130
authors	Markusiewicz, Jacek and Gortazar Balerdi, Ander
year	2020
title	LOTI - Using Machine Learning to simulate subjective opinions in design.
doi	https://doi.org/10.52842/conf.ecaade.2020.1.439
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 439-448
summary	The objective of the workshop described in the article was to redesign a chair called Loti. In a subjective opinion shared by the authors and the participants of the workshop, the chair seems plagiarism of a famous chair by Ray and Charles Eames. The authors centralised the workshop on the use of computational tools for assessing subjective opinions. The authors and the participants created a method for detecting plagiarism and implemented it in the process of design. They created a parametric model of the chair that allowed changing the chair's components with variables. Using this model, the participants generated multiple variations and surveyed other students to assess which of the versions seemed plagiarism. With the information obtained from the survey, we trained a neural network to relate the variables with the level of plagiarism. We linked the parametric model with the neural network to create a tool that informs the user about the probability of committing plagiarism in real-time. The participants used the tool for designing new chairs to evaluate the efficiency of the method.
keywords	parametric design; machine learning; interfaces
series	eCAADe
email
last changed	2022/06/07 07:59

_id	7f3b
authors	McCall, R. and Johnson, E.
year	1997
title	Using argumentative agents to catalyze and support collaboration in design
source	Automation in Construction 6 (4) (1997) pp. 299-309
summary	Since the 1970s, we have created hypertext systems supporting Rittel's argumentative approach to design. Our efforts aim at improving design by encouraging argumentative, i.e., reasoned-discourse during projects. Despite the intrinsically group-oriented character of the argumentative approach, all of our past prototypes were single-user systems. The project reported here is the first in which we aim at supporting argumentation in group projects. To do this, we augmented our PHIDIAS hyperCAD system to show how argumentative agents can initiate and sustain productive collaboration in design. These agents catalyze collaboration among designers working at different times and/or places by (1) detecting overlaps in the concerns of different participants in a design process, including conflict and support relationships, (2) notifying these people of these overlapping concerns, and (3) enabling a synchronous communication among these people to deal collaboratively with the overlaps. We call these agents argumentative because they represent different personal and professional viewpoints in design and because they promote argumentative discourse among designers about various issues. In addition to identifying and dealing with crucial problems of coordination and collaboration, argumentative agents enable the capture of important design rationale in the form of communication among project participants about these crucial problems.
series	journal paper
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:22

_id	ce2c
id	ce2c
authors	McCall, Raymond and Johnson, Erik
year	1996
title	Argumentative Agents as Catalysts of Collaboration in Design
doi	https://doi.org/10.52842/conf.acadia.1996.155
source	Design Computation: Collaboration, Reasoning, Pedagogy [ACADIA Conference Proceedings / ISBN 1-880250-05-5] Tucson (Arizona / USA) October 31 - November 2, 1996, pp. 155-163
summary	Since the 1970s we have created hypertext systems supporting Rittel's argumentative approach to design. Our efforts aim at improving design by encouraging argumentative—i.e., reasoned—discourse during projects. Despite the intrinsically group-oriented character of the argumentative approach, all of our past prototypes were single-user systems. The project reported on here is the first in which we aim at supporting argumentation in group projects. To do this, we augmented our PHIDIAS hyperCAD system to shows how argumentative agents can initiate and sustain productive collaboration in design. These agents catalyze collaboration among designers working at different times and/or places by 1) detecting overlaps in the concerns of different participants in a design process, including conflict and support relationships, 2) notifying these people of these overlapping concerns, and 3) enabling asynchronous communication among these people to deal collaboratively with the overlaps. We call these agents argumentative because they represent different personal and professional viewpoints in design and because they promote argumentative discourse among designers about various issues. In addition to identifying and dealing with crucial problems of coordination and collaboration, argumentative agents enable the capture of important design rationale in the form of communication among project participants about these crucial problems.
series	ACADIA
email
last changed	2022/06/07 07:59

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