The impact of inspector's cognitive style on performance in various visual inspection display tasks

dc.contributor.advisor Richard T. Stone
dc.contributor.author Wei, Chen-shuang
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.date 2018-08-11T18:33:39.000
dc.date.accessioned 2020-06-30T02:38:26Z
dc.date.available 2020-06-30T02:38:26Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2010
dc.date.embargo 2013-06-05
dc.date.issued 2010-01-01
dc.description.abstract <p>Three aspects of visual inspection were considered in this study. Cognitive styles, feedforward training (job aid), and pacing would have effects on inspection performance. In this study, the Matching Familiar Figures Test (MFFT) was administrated and the basic (control), static (self-pacing), and hybrid (systematic pacing) displays were used to investigate the pacing effect. The objectives are not only to classify the inspectors into different categories via the MFFT based on their cognitive styles, but also to investigate inspection performance (accuracy and response time) affected by the job aids as cognitive styles are also concerned. The results indicate that the MFFT is effective in all task conditions and job aid has positive impact on performance.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/etd/11823/
dc.identifier.articleid 2875
dc.identifier.contextkey 2808073
dc.identifier.doi https://doi.org/10.31274/etd-180810-1429
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/11823
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/26029
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/etd/11823/Wei_iastate_0097M_11616.pdf|||Fri Jan 14 18:59:18 UTC 2022
dc.subject.disciplines Industrial Engineering
dc.title The impact of inspector's cognitive style on performance in various visual inspection display tasks
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
thesis.degree.level thesis
thesis.degree.name Master of Science
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