A visual environment for the creation of intelligent distributed decision support systems

  • Authors:
  • Aaron Chai;David Sundaram

  • Affiliations:
  • The University of Auckland, Auckland, New Zealand;The University of Auckland, Auckland, New Zealand

  • Venue:
  • CHINZ '03 Proceedings of the 4th Annual Conference of the ACM Special Interest Group on Computer-Human Interaction
  • Year:
  • 2003

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Abstract

Computer aided support of complex decision making can be facilitated in environments that acknowledge the existence of and interaction between a variety of decision objects. Such interaction may be carried out using a grammar and vocabulary that are textually oriented. Alternatively, a visualization imperative to specifying actions is seen as a powerful way by which a wider community of users may be included in their ability to participate in the design and use of such applications. Our research explores design principles of visual environments that support the creation of intelligent distributed decision support systems. We propose a framework and architecture for such environments that addresses issues related to interactive modeling, control over model visualisation, access to distributed decision components, location and platform independence of components, ad-hoc integration, and flexibility over multiple domains and problems. A prototypical system that follows the iconic, dataflow paradigm was implemented in Java to validate our framework and architecture.