Simulation based knowledge elicitation: effect of visual representation and model parameters

Stewart Robinson, Ernie Lee, John Edwards

Research output: Contribution to journalArticlepeer-review


Since much knowledge is tacit, eliciting knowledge is a common bottleneck during the development of knowledge-based systems. Visual interactive simulation (VIS) has been proposed as a means for eliciting experts’ decision-making by getting them to interact with a visual simulation of the real system in which they work. In order to explore the effectiveness and efficiency of VIS based knowledge elicitation, an experiment has been carried out with decision-makers in a Ford Motor Company engine assembly plant.
The model properties under investigation were the level of visual representation (2-dimensional, 2½-dimensional and 3-dimensional) and the model parameter settings (unadjusted and adjusted to represent more uncommon and extreme situations). The conclusion from the experiment is that using a 2-dimensional representation with adjusted parameter settings provides the better simulation-based means for eliciting knowledge, at least for the case modelled.
Original languageEnglish
Pages (from-to)8479-8489
Number of pages11
JournalExpert Systems with Applications
Issue number9
Early online date2 Mar 2012
Publication statusPublished - Jul 2012

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications,39, 9, (2012) DOI:


  • automobile industry
  • discrete-event simulation
  • knowledge-based systems
  • knowledge elicitation
  • visual fidelity
  • visual interactive simulation


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