Communicating expertise in system operation and fault diagnosis to non-experts
dc.contributor.author | Staderman, William P. | en |
dc.contributor.committeechair | Kleiner, Brian M. | en |
dc.contributor.committeemember | Smith-Jackson, Tonya L. | en |
dc.contributor.committeemember | Williges, Robert C. | en |
dc.contributor.committeemember | North, Christopher L. | en |
dc.contributor.committeemember | Hudlicka, Eva | en |
dc.contributor.department | Industrial and Systems Engineering | en |
dc.date.accessioned | 2014-03-14T20:11:20Z | en |
dc.date.adate | 2003-05-01 | en |
dc.date.available | 2014-03-14T20:11:20Z | en |
dc.date.issued | 2003-04-25 | en |
dc.date.rdate | 2004-05-01 | en |
dc.date.sdate | 2003-05-01 | en |
dc.description.abstract | The use of systems that span many knowledge domains is becoming more common as technology advances, requiring expert-performance in a domain from users who are usually not experts in that domain. This study examined a means of communicating expertise (in system operation and fault diagnosis) to non-experts and furthering the understanding of expert mental models. It has been suggested that conceptions of abstract models of system-functions distinguish expert performance from non-expert performance (Hanisch, Kramer, and Hulin, 1991). This study examined the effects on performance of augmenting a simple control panel device with a model of the functions of the device, interacting with the model, and augmenting the device with graphically superimposed procedural indicators (directions). The five augmented display conditions studied were: Device Only, Device + Model, Device + Procedural Indicators, Interactive Model, and Interactive Model + Procedural Indicators. The device and displays were presented on a PC workstation. Performance measures (speed and accuracy) and subjective measures (questionnaires, NASA TLX, and structured interviews) were collected. It was expected that participants who interact with the device + procedural indicators would exhibit the shortest performance time and least errors; however, those who interacted with the simplest display (device only) were fastest and exhibited the least errors. Results of this study are discussed in terms of building a mental model and identifying situations that require a mental model. | en |
dc.description.degree | Ph. D. | en |
dc.identifier.other | etd-05012003-130105 | en |
dc.identifier.sourceurl | http://scholar.lib.vt.edu/theses/available/etd-05012003-130105/ | en |
dc.identifier.uri | http://hdl.handle.net/10919/27468 | en |
dc.publisher | Virginia Tech | en |
dc.relation.haspart | staderman_etd.pdf | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | mental models | en |
dc.subject | device models | en |
dc.subject | augmented reality | en |
dc.title | Communicating expertise in system operation and fault diagnosis to non-experts | en |
dc.type | Dissertation | en |
thesis.degree.discipline | Industrial and Systems Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | doctoral | en |
thesis.degree.name | Ph. D. | en |
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