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	7288
authors	Ataman, Osman
year	2000
title	Measuring the Impact of Media on Architectural Design (Measuring the Impact of Media on Architectural Design)
source	SIGraDi’2000 - Construindo (n)o espacio digital (constructing the digital Space) [4th SIGRADI Conference Proceedings / ISBN 85-88027-02-X] Rio de Janeiro (Brazil) 25-28 september 2000, pp. 93-97
summary	The relationship between the media and architectural design can be an important factor and can influence the design outcome. However, the nature, direction and magnitude of this relationship are unknown. Consequently, there have been many speculative claims about this relationship and almost none of them are supported with empirical research studies. In order to investigate these claims and to provide a testable framework, an empirical study has been conducted. A set of quantitative measures was developed to assess the differences between the two media and the effects on the architectural design. The results suggested that media influenced certain aspects of students™ designs. It is concluded that there is a strong relationship between the media and architectural design. The type of media not only changes some quantifiable design parameters but also affects the quality of design.
series	SIGRADI
email
last changed	2016/03/10 09:47

_id	6072
authors	Orzechowski, M.A., Timmermans, H.J.P. and De Vries, B.
year	2000
title	Measuring user satisfaction for design variations through virtual reality
source	Timmermans, H.J.P. & Vries, B. de (eds.) Design & Decision Support Systems in Architecture - Proceedings of the 5th International Conference, August 22-25 2000, Nijkerk, pp. 278-288
summary	Virtual Reality (VR), and Artificial Intelligence (AI) technology have become increasingly more common in all disciplines of modern life. These new technologies range from simple software assistants to sophisticated modeling of human behavior. In this research project, we are creating an AI agent environment that helps architects to identify user preferences through a Virtual Reality Interface. At the current stage of development, the research project has resulted in a VR application - MuseV2 that allows users to instantly modify an architectural design. The distinctive feature of this application is that a space is considered as a base for all user modifications and as a connection between all design elements. In this paper we provide some technical information about MuseV2. Presentation of a design through VR allows AI agents to observe user-induced modifications and to gather preference information. In addition to allowing for an individualized design, this information generalized across a sample of users should provide the basis for developing basic designs for particular market segments and predict the market potential of those designs. The system that we envision should not become an automated design tool, but an adviser and viewer for users, who have limited knowledge or no knowledge at all about CAD systems, and architectural design. This tool should help investors to assess preferences for new community housing in order to meet the needs of future inhabitants.
series	other
email
last changed	2003/04/23 15:50

_id	ddssar0021
id	ddssar0021
authors	Orzechowski, M.A., Timmermans, H.J.P. and Vries, B. de
year	2000
title	Measuring user satisfaction for design variations through virtual reality
source	Timmermans, Harry (Ed.), Fifth Design and Decision Support Systems in Architecture and Urban Planning - Part one: Architecture Proceedings (Nijkerk, the Netherlands)
summary	This paper describes Virtual Reality as an environment to collect information about user satisfaction. Because Virtual Reality (VR) allows visualization with added interactivity, this form of representation has particular advantages when presenting new designs. The paper reports on the development of a VR system that supports architects to collect opinions about their design alternatives in terms of user preferences. An alternative to conjoint analysis, that uses statistical choice variations to estimate user preference functions, is developed. Artificial Intelligence (AI) Agent technology will be implemented to build a model for data collection, prediction, and learning processes.
series	DDSS
last changed	2003/08/07 16:36

_id	ddssar0025
id	ddssar0025
authors	Smeets, J., Jessurun, J. and Zutphen, R. van
year	2000
title	An application of the REN manager in the field of housing management
source	Timmermans, Harry (Ed.), Fifth Design and Decision Support Systems in Architecture and Urban Planning - Part one: Architecture Proceedings (Nijkerk, the Netherlands)
summary	There is a continuous and urgent need for standardisation of discussion about quality of real estate. On behalf of this discussion, a tool called REN Manager has been developed. REN is an abbreviation of Real Estate Norm, a client-oriented tool for measuring, planning and communication in the field of housing management. The development of the REN Manager is a continuation of REN research-project. In this paper we start with an introduction of the REN research project. Further we focus on the application of the REN tool in the field of housing management as part of a set of tools for strategic portfolio management. After this introduction we will elaborate more about the REN and the underlying analyses. One of the essential functions of REN is the match between the demanded and offered performance of a dwelling estate. By several surveys among tenants the relevant aspects and parameters are determined. These parameters are related to the performance level of a dwelling as well as to the weight of these levels. This part of the paper deals with the results of these analyses and the problems involved in the method used. The results are used as the input for the REN Manager. At the end we will discuss the functionality of the REN Manager as a decision support system on both operational level (matching) and strategic portfolio management (allocation of investment).
series	DDSS
last changed	2003/08/07 16:36

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