Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task
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Format: | Article |
Language: | English |
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OmniaScience
2010-06-01
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Series: | Journal of Industrial Engineering and Management |
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Online Access: | http://www.jiem.org/index.php/jiem/article/view/142 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shannon Raye Bowling |
spellingShingle |
Shannon Raye Bowling Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task Journal of Industrial Engineering and Management virtual reality, aircraft inspection, visual inspection, feedforward information, visual search, eye-tracking |
author_facet |
Shannon Raye Bowling |
author_sort |
Shannon Raye Bowling |
title |
Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task |
title_short |
Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task |
title_full |
Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task |
title_fullStr |
Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task |
title_full_unstemmed |
Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task |
title_sort |
evaluating the effectiveness of a priori information on process measures in a virtual reality inspection task |
publisher |
OmniaScience |
series |
Journal of Industrial Engineering and Management |
issn |
2013-8423 2013-0953 |
publishDate |
2010-06-01 |
description |
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topic |
virtual reality, aircraft inspection, visual inspection, feedforward information, visual search, eye-tracking |
url |
http://www.jiem.org/index.php/jiem/article/view/142 |
work_keys_str_mv |
AT shannonrayebowling evaluatingtheeffectivenessofaprioriinformationonprocessmeasuresinavirtualrealityinspectiontask |
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spelling |
doaj-c9d59a3c9bbf4b52b98e5a588fbdad672020-11-24T23:02:31ZengOmniaScienceJournal of Industrial Engineering and Management2013-84232013-09532010-06-013122124810.3926/jiem..v3n1.p221-24855Evaluating the effectiveness of a priori information on process measures in a virtual reality inspection taskShannon Raye Bowling0Old Dominion University<!--[if gte mso 9]><xml> <o:OfficeDocumentSettings> <o:PixelsPerInch>72</o:PixelsPerInch> <o:TargetScreenSize>1024x768</o:TargetScreenSize> </o:OfficeDocumentSettings> </xml><![endif]--><!--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:PunctuationKerning /> <w:ValidateAgainstSchemas /> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:Compatibility> <w:BreakWrappedTables /> <w:SnapToGridInCell /> <w:WrapTextWithPunct /> <w:UseAsianBreakRules /> <w:DontGrowAutofit /> </w:Compatibility> <w:DoNotOptimizeForBrowser /> </w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" LatentStyleCount="156"> </w:LatentStyles> </xml><![endif]--> <!-- /* Font Definitions */ @font-face {font-family:Garamond; panose-1:2 2 4 4 3 3 1 1 8 3; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:647 0 0 0 159 0;} @font-face {font-family:Verdana; panose-1:2 11 6 4 3 5 4 4 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:536871559 0 0 0 415 0;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-parent:""; margin:0in; margin-bottom:.0001pt; text-align:justify; text-indent:17.0pt; line-height:150%; mso-pagination:widow-orphan; mso-hyphenate:none; font-size:11.0pt; mso-bidi-font-size:12.0pt; font-family:Verdana; mso-fareast-font-family:"Times New Roman"; mso-bidi-font-family:"Times New Roman"; mso-fareast-language:AR-SA;} p.MsoBodyText, li.MsoBodyText, div.MsoBodyText {margin:0in; margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; mso-bidi-font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-font-family:"Times New Roman";} @page Section1 {size:8.5in 11.0in; margin:1.0in 1.25in 1.0in 1.25in; mso-header-margin:.5in; mso-footer-margin:.5in; mso-paper-source:0;} div.Section1 {page:Section1;} --> <!--[if gte mso 10]> <mce:style><! /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-ansi-language:#0400; mso-fareast-language:#0400; mso-bidi-language:#0400;} --> <!--[endif]--> <p class="MsoBodyText" style="text-align: justify"><span style="font-family: Garamond">Due to the nature of the complexity of the aircraft maintenance industry, much emphasis has been placed on improving aircraft inspection performance. One proven technique for improving inspection performance is the use of training. Several strategies have been implemented for training, one of which is giving feedforward information. The use of a priori (feedforward) information is known to positively affect inspection performance (Ernst and Yovits, 1972; Long and Rourke, 1989; McKernan, 1989; Gramopadhye et al., 1997).<span> </span>This information can consist of knowledge about defect characteristics (types, severity/criticality, and location) and the probability of occurrence. Although several studies have been conducted that demonstrate the usefulness of feedforward as a training strategy, there are certain research issues that need to be addressed. This study evaluates the effects of feedforward information on process measures in a simulated 3-dimensional environment (aircraft cargo bay) by the use of virtual reality.</span></p>http://www.jiem.org/index.php/jiem/article/view/142virtual reality, aircraft inspection, visual inspection, feedforward information, visual search, eye-tracking |