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 caadria2006_111
year 2006
source CAADRIA 2006 [Proceedings of the 11th International Conference on Computer Aided Architectural Design Research in Asia] Kumamoto (Japan) March 30th - April 2nd 2006, 111-117
summary This paper describes ongoing research into how emerging Internet concepts used in conjunction with existing Information Technologies (IT) can improve inter-project communication and understanding. The emphasis of the research is to use technology as an enabler to share personal thoughts and enhance the conversation that takes place within a development team. It stems from the observation that the emphasis of many new Architecture, Engineering and Construction (AEC) technologies is to minimise and diffuse project conversation with highly complex, machine interpretable building information models.Project teams are usually brought together for a relatively short but intense period of time. Following project completion these unique teams are dissolved just as quickly and often are never formed again. As a consequence it is difficult to justify the investment in time and resources required to implement complex IT-based collaboration solutions. A further barrier to adoption is the differential application of IT skills across the AEC industry. Therefore in order for a new technology to gain broad acceptance and be most beneficial it must be applicable to the broadest audience with the minimum investment required from all parties. The primary objective of this research is to preserve the rich design history of a project from conception to completion. Submitted information can be intelligently searched using the meta-data sourced from syndicated data feeds about team members, project timelines, work diaries and email communication. Once indexed users can tag documents and messages in order to provide a further, far richer layer of meta-data to assist in searching, identification of issues and semantic clarification. This strategy of defining AEC semantics through social interaction differs greatly from that of more complex, computer interpretable solutions such as Industry Foundation Classes. Rather than abstracting information to suit a generic yet highly intelligent building model, the emphasis is on preserving the participant’s own thoughts and conversation about decisions and issues in order to create a forum for intelligent conversation as the design evolves.
series CAADRIA
full text file.pdf (193,161 bytes)
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last changed 2006/04/17 16:48
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