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26 - Beyond Data Models for Automated User Interface Generation

Published online by Cambridge University Press:  04 August 2010

Gilbert Cockton
Affiliation:
University of Glasgow
Stephen Draper
Affiliation:
University of Glasgow
George R. S. Weir
Affiliation:
University of Strathclyde
Angel R Puerto
Affiliation:
Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA.
Henrik Eriksson
Affiliation:
Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA.
John H Gennari
Affiliation:
Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA.
Mark A Musen
Affiliation:
Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA.
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Summary

Researchers in the area of automated design of user interfaces have shown that the layout of an interface can, in many cases, be generated from the application's data model using an intelligent program that applies design rules. The specification of interface behavior, however, has not been automated in the same manner, and is mostly a programmatic task. Mecano is a model-based user-interface development environment that extends the notion of automating interface design from data models. Mecano uses a domain model — a highlevel knowledge representation that augments significantly the expressiveness of a data model — to generate automatically both the static layout and the dynamic behavior of an interface. Mecano has been applied successfully to completely generate the layout and the dynamic behavior of relatively large and complex, domain-specific, form- and graph-based interfaces for medical applications and several other domains.

Keywords: model-based interface development, automated interface design, interface models, domain models, data models.

Introduction

One of the areas that is receiving increased interest by researchers is that of model-based user interface development. This emerging technology is centered around the premise that a declarative interface model can be used as a basis for building interface development environments. The model-based approach facilitates the automation of the design and implementation of user interfaces.

In addition, researchers have shown that an application's data model can be used effectively to generate the static layout of an application's interface (de Baar, Foley & Mullet, 1992; Janssen, Weisbecker & Ziegler, 1993). However, data models have not been applied to the generation of interface behavior specifications.

In this paper, we present Mecano, a model-based interface development environment that extends the concept of generating interface specifications from data models.

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People and Computers , pp. 353 - 366
Publisher: Cambridge University Press
Print publication year: 1994

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  • Beyond Data Models for Automated User Interface Generation
    • By Angel R Puerto, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA., Henrik Eriksson, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA., John H Gennari, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA., Mark A Musen, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA.
  • Gilbert Cockton, University of Glasgow, Stephen Draper, University of Glasgow, George R. S. Weir, University of Strathclyde
  • Book: People and Computers
  • Online publication: 04 August 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511600821.027
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  • Beyond Data Models for Automated User Interface Generation
    • By Angel R Puerto, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA., Henrik Eriksson, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA., John H Gennari, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA., Mark A Musen, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA.
  • Gilbert Cockton, University of Glasgow, Stephen Draper, University of Glasgow, George R. S. Weir, University of Strathclyde
  • Book: People and Computers
  • Online publication: 04 August 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511600821.027
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Beyond Data Models for Automated User Interface Generation
    • By Angel R Puerto, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA., Henrik Eriksson, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA., John H Gennari, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA., Mark A Musen, Medical Computer Science Group, Knowledge Systems Laboratory, Departments of Medicine and Computer Science, Stanford University, Stanford, CA 94305-5479, USA.
  • Gilbert Cockton, University of Glasgow, Stephen Draper, University of Glasgow, George R. S. Weir, University of Strathclyde
  • Book: People and Computers
  • Online publication: 04 August 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511600821.027
Available formats
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