Developing conventional and intelligent job aids : a case study Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/ms35tb81m

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  • Job aids are instruments used on the job to improve human performance by enhancing the knowledge and/or skills of performers. Conventional job aids are usually printed on paper; examples include checklists, recipes, and decision tables. Expert systems are computerized job aids which interact with novices to help solve problems normally reserved for human experts. Because expert systems emulate human intelligence, they are sometimes called intelligent job aids. The purpose of this study was to extend the body of knowledge concerning conventional and intelligent job aids. The intent was to learn what major differences and similarities exist in the design, development, and application of conventional and intelligent job aids. If meaningful differences in the application were found, an additional aim was to determine why they existed. Job aids were developed to assist technicians in diagnosing problems with Robert Bosch electronic fuel injection systems found on certain John Deere diesel engines. The job aids were validated and then field tested by 42 John Deere technicians. Subjects used both job aids to solve problems with a mock fuel system. The diagnoses were video-taped for later evaluation, and subjects proffered their opinions about the job aids through questionnaires and in interviews. For this project, the intelligent job aid contained more textual and graphical content and required significantly more time and resources to develop. In terms of accuracy and efficiency, the job aids were comparable. Most users preferred the intelligent job aid though it required more time to learn to use than the conventional job aid. The age, education, or experience of the users did not influence their opinions of the job aids. However, the order in which the job aids were used did affect opinions; subjects that used the conventional job aid prior to the intelligent job aid were more likely to prefer the intelligent job aid. Implications for job aid project selection, design, and application are provided.
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  • File scanned at 300 ppi (Monochrome, 8-bit Grayscale) using ScandAll PRO 1.8.1 on a Fi-6770A in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-03-18T16:11:12Z (GMT) No. of bitstreams: 1 RuyleKimE1991.pdf: 14051372 bytes, checksum: 15d14e2441945cf58fe56bf69be9442c (MD5)
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-03-18T16:05:30Z (GMT) No. of bitstreams: 1 RuyleKimE1991.pdf: 14051372 bytes, checksum: 15d14e2441945cf58fe56bf69be9442c (MD5)

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