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

PDF papers
References

Hits 1 to 2 of 2

Reformat results as: short short into frame detailed detailed into frame

_id	6df3
authors	Gross, Mark D. and Zimring, Craig
year	1992
title	Predicting Wayfinding Behavior in Buildings : A Schema-Based Approach
source	New York: John Wiley & Sons, 1992. pp. 367-377 : ill. includes bibliography
summary	Postoccupancy evaluations of large buildings often reveal significant wayfinding problems caused by poor floor-plan layout. Predicting wayfinding problems early in the design process could avoid costly remodeling and make better buildings. However, we lack formal, predictive models of human wayfinding behavior. Computational models of wayfinding in buildings have addressed constructing a topological and geometric representations of the plan layout incrementally during exploration. The authors propose to combine this with a schema model of building memory. It is argued that people orient themselves and wayfind in new buildings using schemas, or generic expectations about building layout. In this paper the authors give their preliminary thoughts toward developing a computational model of wayfinding based on this approach
keywords	wayfinding, evaluation, applications, architecture, floor plans, layout, building, prediction
series	CADline
email
last changed	2002/09/05 15:02

_id	2c22
authors	O'Neill, Michael J.
year	1992
title	Neural Network Simulation as a Computer- Aided design Tool For Predicting Wayfinding Performance
source	New York: John Wiley & Sons, 1992. pp. 347-366 : ill. includes bibliography
summary	Complex public facilities such as libraries, hospitals, and governmental buildings often present problems to users who must find their way through them. Research shows that difficulty in wayfinding has costs in terms of time, money, public safety, and stress that results from being lost. While a wide range of architectural research supports the notion that ease of wayfinding should be a criterion for good design, architects have no method for evaluating how well their building designs will support the wayfinding task. People store and retrieve information about the layout of the built environment in a knowledge representation known as the cognitive map. People depend on the information stored in the cognitive map to find their way through buildings. Although there are numerous simulations of the cognitive map, the mechanisms of these models are not constrained by what is known about the neurophysiology of the brain. Rather, these models incorporate search mechanisms that act on semantically encoded information about the environment. In this paper the author describes the evaluation and application of an artificial neural network simulation of the cognitive map as a means of predicting wayfinding behavior in buildings. This simulation is called NAPS-PC (Network Activity Processing Simulator--PC version). This physiologically plausible model represents knowledge about the layout of the environment through a network of inter-connected processing elements. The performance of NAPS-PC was evaluated against actual human wayfinding performance. The study found that the simulation generated behavior that matched the performance of human participants. After the validation, NAPS-PC was modified so that it could read environmental information directly from AutoCAD (a popular micro-computer-based CAD software package) drawing files, and perform 'wayfinding' tasks based on that environmental information. This prototype tool, called AutoNet, is conceptualized as a means of allowing designers to predict the wayfinding performance of users in a building before it is actually built
keywords	simulation, cognition, neural networks, evaluation, floor plans, applications, wayfinding, layout, building
series	CADline
last changed	2003/06/02 13:58

No more hits.