Measuring the impact of scale and coupling on solution quality for building design problems

被引：22

作者：

Flager, Forest ^{[1
]}

Gerber, David Jason ^{[2
]}

Kallman, Ben ^{[3
]}

机构：

[1] Stanford Univ, Ctr Integrated Facil Engn, Stanford, CA 94305 USA

[2] Univ So Calif, Sch Architecture, Los Angeles, CA USA

[3] Stanford Univ, Dept Mech Engn, Stanford, CA 94305 USA

来源：

DESIGN STUDIES | 2014年 / 35卷 / 02期

关键词：

design cognition; design theory; engineering design; information processing; parametric design; INFORMATION; EXPERTISE; COGNITION; GUIDANCE;

D O I：

10.1016/j.destud.2013.11.001

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents the results of an experiment that measured human abilities to solve parameter design problems specific to the building design domain. The subjects of the experiment were university students who solved a series of parameter design problems that varied in terms of scale (number of design variables) and coupling (interactions between variables). Results show an exponential decrease in solution quality as the scale of the problem increases. Coupling has a comparable impact on solution quality for problems involving two to three variables, but becomes less significant as the scale of the problem increases. We discuss these,findings in the context of information processing models for human cognition and explore the implications for current design theories and methodologies. (C) 2013 Elsevier Ltd. All rights reserved

引用

页码：180 / 199

页数：20

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