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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	5680
authors	Sutherland, E.
year	1963
title	Sketchpad, A Man-Machine Graphical Communication System
source	Proceedings 1963 Spring Joint Computer Conference AFIPS, 1963: Vol. 23
summary	The Sketchpad system makes it possible for a man and a computer to converse rapidly through the medium of line drawings. Heretofore, most interaction between man and computers has been slowed down by the need to reduce all communication to written statements that can be typed; in the past, we have been writing letters to rather than conferring with our computers, For many types of communication, such as describing the shape of a mechanical part or the connections of an electrical circuit, typed statements can prove cumbersome. The Sketehpad system, by eliminating typed statements (except for legends) in favor of line drawings, opens up a new area of man-machine communication.
series	other
last changed	2003/04/23 15:50

_id	cf2011_p051
id	cf2011_p051
authors	Cote, Pierre; Mohamed-Ahmed Ashraf, Tremblay Sebastien
year	2011
title	A Quantitative Method to Compare the Impact of Design Mediums on the Architectural Ideation Process.
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. 539-556.
summary	If we compare the architectural design process to a black box system, we can assume that we now know quite well both inputs and outputs of the system. Indeed, everything about the early project either feasibility studies, programming, context integration, site analysis (urban, rural or natural), as well as the integration of participants in a collaborative process can all be considered to initiate and sustain the architectural design and ideation process. Similarly, outputs from that process are also, and to some extent, well known and identifiable. We are referring here, among others, to the project representations or even to the concrete building construction and its post-evaluation. But what about the black box itself that produces the ideation. This is the question that attempts to answer the research. Currently, very few research works linger to identify how the human brain accomplishes those tasks; how to identify the cognitive functions that are playing this role; to what extent they operate and complement each other, and among other things, whether there possibly a chain of causality between these functions. Therefore, this study proposes to define a model that reflects the activity of the black box based on the cognitive activity of the human brain. From an extensive literature review, two cognitive functions have been identified and are investigated to account for some of the complex cognitive activity that occurs during a design process, namely the mental workload and mental imagery. These two variables are measured quantitatively in the context of real design task. Essentially, the mental load is measured using a Bakan's test and the mental imagery with eyes tracking. The statistical software G-Power was used to identify the necessary subject number to obtain for significant variance and correlation result analysis. Thus, in the context of an exploratory research, to ensure effective sample of 0.25 and a statistical power of 0.80, 32 participants are needed. All these participants are students from 3rd, 4th or 5th grade in architecture. They are also very familiar with the architectural design process and the design mediums used, i.e., analog model, freehand drawing and CAD software, SketchUp. In three experimental sessions, participants were asked to design three different projects, namely, a bus shelter, a recycling station and a public toilet. These projects were selected and defined for their complexity similarity, taking into account the available time of 22 minutes, using all three mediums of design, and this in a randomly manner to avoid the order effect. To analyze the two cognitive functions (mental load and mental imagery), two instruments are used. Mental imagery is measured using eye movement tracking with monitoring and quantitative analysis of scan paths and the resulting number and duration of participant eye fixations (Johansson et al, 2005). The mental workload is measured using the performance of a modality hearing secondary task inspired by Bakan'sworks (Bakan et al.; 1963). Each of these three experimental sessions, lasting 90 minutes, was composed of two phases: 1. After calibrating the glasses for eye movement, the subject had to exercise freely for 3 minutes while wearing the glasses and headphones (Bakan task) to get use to the wearing hardware. Then, after reading the guidelines and criteria for the design project (¬± 5 minutes), he had 22 minutes to execute the design task on a drawing table allowing an upright posture. Once the task is completed, the subject had to take the NASA TLX Test, on the assessment of mental load (¬± 5 minutes) and a written post-experimental questionnaire on his impressions of the experiment (¬± 10 minutes). 2. After a break of 5-10 minutes, the participant answered a psychometric test, which is different for each session. These tests (¬± 20 minutes) are administered in the same order to each participant. Thus, in the first experimental session, the subject had to take the psychometric test from Ekstrom et al. (1978), on spatial performance (Factor-Referenced Cognitive Tests Kit). During the second session, the cognitive style is evaluated using Oltman's test (1971). Finally, in the third and final session, participant creativity is evaluated using Delis-Kaplan test (D-KEFS), Delis et al. (2001). Thus, this study will present the first results of quantitative measures to establish and validate the proposed model. Furthermore, the paper will also discuss the relevance of the proposed approach, considering that currently teaching of ideation in ours schools of architecture in North America is essentially done in a holistic manner through the architectural project.
keywords	design, ideation process, mental workload, mental imagery, quantitative mesure
series	CAAD Futures
email
last changed	2012/02/11 19:21

_id	d1ed
authors	Sutherland, Ivan Edward
year	1963
title	SKETCHPAD: A MAN-MACHINE GRAPHICAL COMMUNICATION SYSTEM
source	Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Mass.
keywords	Sketchpad (Computer Program); Computer Graphics
series	thesis:PhD
type	normal paper
last changed	2005/09/12 17:06

_id	2
authors	Montagu, Arturo
year	1998
title	Desde La Computacion Grafica a los Sistemas CAD Actuales. Una Vision Historica de la Revolucion Producida en los Sistemas de Representacion Grafica (1966-1998) (From Graphical Computation to Present CAD Systems. An Historical Vision of the Revolution Produced in the Systems of Graphical Representation (1966-1998))
source	II Seminario Iberoamericano de Grafico Digital [SIGRADI Conference Proceedings / ISBN 978-97190-0-X] Mar del Plata (Argentina) 9-11 september 1998, pp. 14-21
summary	Throughout these pages are made known the persons, the projects and the books that have influenced my actions and that they will be mentioned in form underlined in this paper. I have to emphasize that since 1965 to 1970, and in the continuous search that I was accomplishing to find data and bibliography adapted to the topic of computer graphics, only two series of publications contained topics related to this matter at that time: one was the IBM Journal and the other series was the communications of the ACM. The purpose of this work is to make known an experience accomplished throughout 30 years of intense activity in finding new methods of drawing and design, based on the use of digital computers, mainly in Argentina, and during certain periods of time in Great Britain and since 1971 during short visits to the United States and also in France. The first idea emerged in the year 1965 when I was assistant teacher at the School of Architecture of the University of Buenos Aires, as a combination of ideas between the concepts of spatial geometry and the current morphological studies that we taught in the Course of professor Gaston Breyer. However the idea of automatic drawing emerged observing the operation of the first scientific digital computer installed in the Computing Institute of the Faculty of Sciences of the University of Buenos Aires in 1963 (Sadosky 1963). At the beginning, the approach to the computer were not accomplished from a strictly scientific point of view, but it was implying a kind of "sincresis" (Koheler 1940) it is more than a synthesis, because I was tried to combine ideas that have had its origin in different worlds of thinking, the analogous world and the digital world, and this situation was very difficult to accept at that time.The designing procedures in the decade 1960's was deeply rooted (and still continues) in the architectural design field as a result of a drawing process based in heuristic techniques.
series	SIGRADI
email
last changed	2016/03/10 09:55

_id	1d2b
authors	Minsky, M.
year	1963
title	Steps toward artificial intelligence
source	E.A. Feigenbaum & J. Feldman, eds., Computers and Thought (McGraw-Hill, New York) 406-450.
summary	The problems of heuristic programming-of making computers solve really difficult problems-are divided into five main areas: Search, Pattern-Recognition, Learning, Planning, and Induction. Wherever appropriate, the discussion is supported by extensive citation of the literature and by descriptions of a few of the most successful heuristic (problem-solving) programs constructed to date. The adjective "heuristic," as used here and widely in the literature, means related to improving problem-solving performance; as a noun it is also used in regard to any method or trick used to improve the efficiency of a problem-solving system. A "heuristic program," to be considered successful, must work well on a variety of problems, and may often be excused if it fails on some. We often find it worthwhile to introduce a heuristic method, which happens to cause occasional failures, if there is an over-all improvement in performance. But imperfect methods are not necessarily heuristic, nor vice versa. Hence "heuristic" should not be regarded as opposite to "foolproof"; this has caused some confusion in the literature.
series	other
email
last changed	2003/04/23 15:50

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