| Type of Document |
Dissertation |
| Author |
Staderman, William P.
|
| Author's Email Address |
wstade@vt.edu |
| URN |
etd-05012003-130105 |
| Title |
Communicating expertise in system operation and fault diagnosis to non-experts |
| Degree |
PhD |
| Department |
Industrial and Systems Engineering |
| Advisory Committee |
| Advisor Name |
Title |
| Kleiner, Brian M. |
Committee Chair |
| Hudlicka, Eva |
Committee Member |
| North, Christopher L. |
Committee Member |
| Smith-Jackson, Tonya L. |
Committee Member |
| Williges, Robert C. |
Committee Member |
|
| Keywords |
- mental models
- device models
- augmented reality
|
| Date of Defense |
2003-04-25 |
| Availability |
unrestricted |
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.
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staderman_etd.pdf |
1.46 Mb |
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