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

Abstract

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.