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gIBIS: a hypertext tool for team design deliberation

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Published:01 November 1987Publication History

ABSTRACT

This paper introduces an application-specific hypertext system designed to facilitate the capture of early design deliberations, which implements a specific design method called Issue Based Information Systems (IBIS). The hypertext system described here, gIBIS(for graphical IBIS), makes use of color and a high speed relational database server to facilitate building and browsing typed IBIS networks. Further, gIBIS is designed to support the collaborative construction of these networks by any number of cooperating team members spread across a local area network. Early experiments suggest that the gIBIS tool, while still incomplete, forges a good match between graphical interface and design method even in this experimental version.

References

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  2. CON87b.Conklin, J., "The Capture of Design Rationale". Paper in progress, to be MCC TR in fall of 1987.Google ScholarGoogle Scholar
  3. EVE86.Eveland, J. and Bikson, T. "Evolving electronic communication networks: an empirical assessment." Proc. CSCW'86: MCC/ACM conference on computer-supported cooperative work. 1986. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. HOR86.Horton, M. and Adams, R (Center for Seismic Studies, Arlington, Va.). "How to read the network news." Distributed by Mr. Adams quarterly over the USENET news network.Google ScholarGoogle Scholar
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  1. gIBIS: a hypertext tool for team design deliberation

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          • Published in

            cover image ACM Conferences
            HYPERTEXT '87: Proceedings of the ACM conference on Hypertext
            November 1987
            470 pages
            ISBN:089791340X
            DOI:10.1145/317426
            • Chairmen:
            • John B. Smith,
            • Frank Halasz

            Copyright © 1987 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 1 November 1987

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            Overall Acceptance Rate378of1,158submissions,33%

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