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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The projects presented here are of three types: (1.) The first project compares people's evaluation of several slightly modified virtual models of a space. (2.) The second project compares how people evaluate a foam core model of a space to how they evaluate a virtual representation of the same space (3.) The third project compares people's evaluation of a real space to that of a virtual representation of this space. //
The wide range of results presented provides one argument in support of using VR simulations to study
spaces and how they are perceived. For example, results shows that a virtual window serves to alleviate
perceived crowding and that added furniture serves to make a virtual room feel slightly larger and less
constraining. However, problems did emerge with using virtual reality simulations to gain information about
peoples' behavioral reactions to a space. Thus, not all circumstances under which VR representations are
used creates valid results. Differences appear to be in the type of evaluations measured (e.g. dimensional
versus behavioral). More research is needed to clarify this issue.
1.Import design from other CAD tools.
2.Assemble an architecture structure from a library of pre-built blocks and
geometry primitives dynamically created by user.
3.Export the design interactively in VRML format back to the library for Internet
The geometry primitives include polygon, sphere, cone, cylinder and cube. The
pre-built blocks consist of fundamental architecture models which have been
categorized with architectural related style, physical properties and environmental
attributes. Upon a user’s request, the tool or the composer, has the ability to
communicate with the library which indeed is a back-end distributed client-server
database engine. The user may specify any combination of properties and
attributes in the composer which will instantly bring up all matching 3-dimensional
objects through the database engine. The database is designed in relational model
and comes from the work of another research group.
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