The training effects of principle knowledge on fault diagnosis performance.

Article

Ham, D., Han, B. and Yoon, W. 2007. The training effects of principle knowledge on fault diagnosis performance. Human Factors and Ergonomics in Manufacturing.. 17 (3), pp. 263-282. https://doi.org/10.1002/hfm.20074
TypeArticle
TitleThe training effects of principle knowledge on fault diagnosis performance.
AuthorsHam, D., Han, B. and Yoon, W.
Abstract

This study examined the characteristics of two types of knowledge (principle knowledge and procedural knowledge) that human operators use to diagnose faults, in terms of their effectiveness on task performance. The study is unique in that it attempts to connect the theories of AI (particularly, model-based reasoning) to human performance engineering. Although very recent, the findings of this work have already been used by LG Electronics in the development of an expert system for diagnosing faults in CRTs (cathode-ray tubes).

PublisherWiley
JournalHuman Factors and Ergonomics in Manufacturing.
ISSN1090-8471
Publication dates
Print01 May 2007
Publication process dates
Deposited21 Oct 2008
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1002/hfm.20074
LanguageEnglish
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