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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