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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	06e1
authors	Keul, Alexander
year	1996
title	LOST IN SPACE? ARCHITECTURAL PSYCHOLOGY - PAST, PRESENT, FUTURE
source	Full-Scale Modeling in the Age of Virtual Reality [6th EFA-Conference Proceedings]
summary	A methodological review by Kaminski (1995) summed up five perspectives in environmental psychology - patterns of spatial distribution, everyday “jigsaw puzzles”, functional everyday action systems, sociocultural change and evolution of competence. Architectural psychology (named so at the Strathclyde conference 1969; Canter, 1973) as psychology of built environments is one leg of environmental psychology, the second one being psychology of environmental protection. Architectural psychology has come of age and passed its 25th birthday. Thus, a triangulation of its position, especially in Central Europe, seems interesting and necessary. A recent survey mainly on university projects in German-speaking countries (Kruse & Trimpin, 1995) found a marked decrease of studies in psychology of built environments. 1994, 25% of all projects were reported in this category, which in 1975 had made up 40% (Kruse, 1975). Guenther, in an unpublished survey of BDP (association of professional German psychologists) members, encountered only a handful active in architectural psychology - mostly part-time, not full-time. 1996, Austria has two full-time university specialists. The discrepancy between the general interest displayed by planners and a still low institutionalization is noticeable. How is the research situation? Using several standard research data banks, the author collected articles and book(chapter)s on architectural psychology in German- and English-language countries from 1990 to 1996. Studies on main architecture-psychology interface problems such as user needs, housing quality evaluations, participatory planning and spatial simulation / virtual reality did not outline an “old, settled” discipline, but rather the sketchy, random surface of a field “always starting anew”. E.g., discussions at the 1995 EAEA-Conference showed that several architectural simulation studies since 1973 caused no major impact on planner's opinions (Keul&Martens, 1996). “Re-inventions of the wheel” are caused by a lack of meetings (except this one!) and of interdisciplinary infrastructure in German-language countries (contrary to Sweden or the United States). Social pressures building up on architecture nowadays by inter-European competition, budget cuts and citizen activities for informed consent in most urban projects are a new challenge for planners to cooperate efficiently with social scientists. At Salzburg, the author currently manages the Corporate Design-process for the Chamber of Architecture, Division for Upper Austria and Salzburg. A “working group for architectural psychology” (Keul-Martens-Maderthaner) has been active since 1994.
keywords	Model Simulation, Real Environments
series	EAEA
type	normal paper
email
more	http://info.tuwien.ac.at/efa/
last changed	2005/09/09 10:43

_id	7e15
authors	Kvan, Thomas
year	1997
title	Chips, chunks and sauces
source	International Journal of Design Computing, 1, 1997 (Editorial)
summary	I am sure there is an art in balancing the chunks to use with your chips. Then there is the sauce that envelops them both. I like my chips chunky and not too saucy. Not that I am obsessed with food but I don't think you can consider design computing without chunks. It's the sauce I'm not sure about.The chunks of which I write are not of course those in your salsa picante but those postulated by Chase and Simon (1973) reflecting on good chess players; the chunks of knowledge with which an expert tackles a problem in their domain of expertise. The more knowledge an expert has of complex and large configurations of typical problem situations (configurations of chess pieces), the greater range of solutions the expert can bring a wider to a particular problem. Those with more chunks have more options and arrive at better solutions. In other words, good designs come from having plenty of big chunks available. There has been a wealth of research in the field of computer-supported collaborative work in the contexts of writing, office management, software design and policy bodies. It is typically divided between systems which support decision making (GDSS: group decision support systems) and those which facilitate joint work (CSCW: computer-based systems for co-operative work) (see Dennis et al. (1988) for a discussion of the distinctions and their likely convergence). Most implementations in the world of design have been on CSCW systems, few have looked at trying to make a group design decision support system (GDDSS?). Most of the work in CSCD has been grounded in the heritage of situated cognition - the assumption that collaborative design is an act that is intrinsically grounded in the context within which it is carried out, that is, the sauce in which we find ourselves swimming daily. By sauce, therefore, I am referring to anything that is not knowledge in the domain of expertise, such as modes of interaction, gestures, social behaviours.
series	journal paper
email
last changed	2003/05/15 10:29

_id	c7e9
authors	Maver, T.W.
year	2002
title	Predicting the Past, Remembering the Future
source	SIGraDi 2002 - [Proceedings of the 6th Iberoamerican Congress of Digital Graphics] Caracas (Venezuela) 27-29 november 2002, pp. 2-3
summary	Charlas Magistrales 2There never has been such an exciting moment in time in the extraordinary 30 year history of our subject area, as NOW,when the philosophical theoretical and practical issues of virtuality are taking centre stage.The PastThere have, of course, been other defining moments during these exciting 30 years:• the first algorithms for generating building layouts (circa 1965).• the first use of Computer graphics for building appraisal (circa 1966).• the first integrated package for building performance appraisal (circa 1972).• the first computer generated perspective drawings (circa 1973).• the first robust drafting systems (circa 1975).• the first dynamic energy models (circa 1982).• the first photorealistic colour imaging (circa 1986).• the first animations (circa 1988)• the first multimedia systems (circa 1995), and• the first convincing demonstrations of virtual reality (circa 1996).Whereas the CAAD community has been hugely inventive in the development of ICT applications to building design, it hasbeen woefully remiss in its attempts to evaluate the contribution of those developments to the quality of the built environmentor to the efficiency of the design process. In the absence of any real evidence, one can only conjecture regarding the realbenefits which fall, it is suggested, under the following headings:• Verisimilitude: The extraordinary quality of still and animated images of the formal qualities of the interiors and exteriorsof individual buildings and of whole neighborhoods must surely give great comfort to practitioners and their clients thatwhat is intended, formally, is what will be delivered, i.e. WYSIWYG - what you see is what you get.• Sustainability: The power of «first-principle» models of the dynamic energetic behaviour of buildings in response tochanging diurnal and seasonal conditions has the potential to save millions of dollars and dramatically to reduce thedamaging environmental pollution created by badly designed and managed buildings.• Productivity: CAD is now a multi-billion dollar business which offers design decision support systems which operate,effectively, across continents, time-zones, professions and companies.• Communication: Multi-media technology - cheap to deliver but high in value - is changing the way in which we canexplain and understand the past and, envisage and anticipate the future; virtual past and virtual future!MacromyopiaThe late John Lansdown offered the view, in his wonderfully prophetic way, that ...”the future will be just like the past, onlymore so...”So what can we expect the extraordinary trajectory of our subject area to be?To have any chance of being accurate we have to have an understanding of the phenomenon of macromyopia: thephenomenon exhibitted by society of greatly exaggerating the immediate short-term impact of new technologies (particularlythe information technologies) but, more importantly, seriously underestimating their sustained long-term impacts - socially,economically and intellectually . Examples of flawed predictions regarding the the future application of information technologiesinclude:• The British Government in 1880 declined to support the idea of a national telephonic system, backed by the argumentthat there were sufficient small boys in the countryside to run with messages.• Alexander Bell was modest enough to say that: «I am not boasting or exaggerating but I believe, one day, there will bea telephone in every American city».• Tom Watson, in 1943 said: «I think there is a world market for about 5 computers».• In 1977, Ken Olssop of Digital said: «There is no reason for any individuals to have a computer in their home».The FutureJust as the ascent of woman/man-kind can be attributed to her/his capacity to discover amplifiers of the modest humancapability, so we shall discover how best to exploit our most important amplifier - that of the intellect. The more we know themore we can figure; the more we can figure the more we understand; the more we understand the more we can appraise;the more we can appraise the more we can decide; the more we can decide the more we can act; the more we can act themore we can shape; and the more we can shape, the better the chance that we can leave for future generations a trulysustainable built environment which is fit-for-purpose, cost-beneficial, environmentally friendly and culturally significactCentral to this aspiration will be our understanding of the relationship between real and virtual worlds and how to moveeffortlessly between them. We need to be able to design, from within the virtual world, environments which may be real ormay remain virtual or, perhaps, be part real and part virtual.What is certain is that the next 30 years will be every bit as exciting and challenging as the first 30 years.
series	SIGRADI
email
last changed	2016/03/10 09:55

_id	cf2011_p018
id	cf2011_p018
authors	Sokmenoglu, Ahu; Cagdas Gulen, Sariyildiz Sevil
year	2011
title	A Multi-dimensional Exploration of Urban Attributes by Data Mining
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 333-350.
summary	The paper which is proposed here will introduce an ongoing research project aiming to research data mining as a methodology of knowledge discovery in urban feature analysis. To address the increasing multi-dimensional and relational complexity of urban environments requires a multidisciplinary approach to urban analysis. This research is an attempt to establish a link between knowledge discovery methodologies and automated urban feature analysis. Therefore, in the scope of this research we apply data mining methodologies for urban analysis. Data mining is defined as to extract important patterns and trends from raw data (Witten and Frank, 2005). When applied to discover relationships between urban attributes, data mining can constitute a methodology for the analysis of multi-dimensional relational complexity of urban environments (Gil, Montenegro, Beirao and Duarte, 2009) The theoretical motivation of the research is derived by the lack of explanatory urban knowledge which is an issue since 1970‚Äôs in the area of urban research. This situation is mostly associated with deductive methods of analysis. The analysis of urban system from the perspective of few interrelated factors, without considering the multi-dimensionality of the system in a deductive fashion was not been explanatory enough. (Jacobs, 1961, Lefebvre, 1970 Harvey, 1973) To address the multi-dimensional and relational complexity of urban environments requires the consideration of diverse spatial, social, economic, cultural, morphological, environmental, political etc. features of urban entities. The main claim is that, in urban analysis, there is a need to advance from traditional one dimensional (Marshall, 2004) description and classification of urban forms (e.g. Land-use maps, Density maps) to the consideration of the simultaneous multi-dimensionality of urban systems. For this purpose, this research proposes a methodology consisting of the application of data mining as a knowledge discovery method into a GIS based conceptual urban database built out of official real data of Beyoglu. Generally, the proposed methodology is a framework for representing and analyzing urban entities represented as objects with properties (attributes). It concerns the formulation of an urban entity‚Äôs database based on both available and non-available (constructed from available data) data, and then data mining of spatial and non-spatial attributes of the urban entities. Location or position is the primary reference basis for the data that is describing urban entities. Urban entities are; building floors, buildings, building blocks, streets, geographically defined districts and neighborhoods etc. Urban attributes are district properties of locations (such as land-use, land value, slope, view and so forth) that change from one location to another. Every basic urban entity is unique in terms of its attributes. All the available qualitative and quantitative attributes that is relavant (in the mind of the analyst) and appropriate for encoding, can be coded inside the computer representation of the basic urban entity. Our methodology is applied by using the real and official, the most complex, complete and up-to-dataset of Beyoglu (a historical neighborhood of Istanbul) that is provided by the Istanbul Metropolitan Municipality (IBB). Basically, in our research, data mining in the context of urban data is introduced as a computer based, data-driven, context-specific approach for supporting analysis of urban systems without relying on any existing theories. Data mining in the context of urban data; ‚Ä¢ Can help in the design process by providing site-specific insight through deeper understanding of urban data. ‚Ä¢ Can produce results that can assist architects and urban planners at design, policy and strategy levels. ‚Ä¢ Can constitute a robust scientific base for rule definition in urban simulation applications such as urban growth prediction systems, land-use simulation models etc. In the paper, firstly we will present the framework of our research with an emphasis on its theoretical background. Afterwards we will introduce our methodology in detail and finally we will present some of important results of data mining analysis processed in Rapid Miner open-source software. Specifically, our research define a general framework for knowledge discovery in urban feature analysis and enable the usage of GIS and data mining as complementary applications in urban feature analysis. Acknowledgments I would like to thank to Nuffic, the Netherlands Organization for International Cooperation in Higher Education, for funding of this research. I would like to thank Ceyhun Burak Akgul for his support in Data Mining and to H. Serdar Kaya for his support in GIS.
keywords	urban feature analysis, data mining, urban database, urban complexity, GIS
series	CAAD Futures
email
last changed	2012/02/11 19:21

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