Intelligent Analysis in the LOCATE Workspace Layout Tool

Abstract

The two-fold purpose of this work was to extend the basic functionality of the LOCATE Workspace Layout Tool and to support users in intelligent ways in the analysis of their designs. Intelligent aiding during a LOCATE analysis was achieved principally through the addition of an optimisation procedure and the incorporation of qualitative rules to help guide the optimisation process. Further, considerable work was done on laying a framework for inferring high-level user goals and plans through the tracking of user interface actions. Part of the work involved the implementation of task, user and system (self) models that provide ways of monitoring LOCATE's understanding of what the user is doing, what he or she knows and how that information might be used to aid users in a variety of contexts. A number of features were added to LOCATE's basic functionality including a manual grouping procedure, tabbed windows containing object attributes, and link function and priority weight information. Prior work on easing the interpretative burden for users with respect to LOCATE analyses was augmented through organising the results in LOCATE's Cost Function History Window and through the creation of an example overview summary for inspection and modification of link function data. Future work will round out standard LOCATE features by adding alignment options a snap-to grid and extending work on links to other CAD packages. Further work on providing intelligent analysis should include additional qualitative rules for guiding optimisation, smart summaries of LOCATE results and features that are likely to emerge from tracking user actions and inferences of user goals and plans.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1999
Accession Number
ADA636682

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Communities of Interest

  • Cyber
  • Materials and Manufacturing Processes
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  • Adaptive Systems
  • Air Traffic Control Systems
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  • Human Systems Integration
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  • Standards
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  • Computer science

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  • AI & ML