A new task analysis methodology was developed to provide objective information on
complex tasks. A complex task was broken down into observable elements and
unobservable elements that were inferred to have taken place in support of the
observable actions. Subject matter experts (SMEs) were used to assist in this
breakdown. Additionally, guidelines for specifying the level of detail in the task analysis
breakdown were developed to help objectify the analysis. A simulation model
framework then was built of the task elements. Personnel proficient in the task were
observed during work, and objective data on their observable actions were collected.
These data then were used to provide numeric input to a simulation model. The
simulation was run, and the results of the model of performance compared to the
observed performance data. The model was altered at that point to reflect lessons
learned during data collection. The process yielded a model that accurately reflects
human performance on the task. Variations on the model based on a conceptual
understanding of operators strategies also correlated well with observed performance,
indicating the value of the methodology for building an understanding of the motivations
critical to successful task performance.
next to an author's name indicates that all files or directories associated with their ETD are accessible from the Virginia Tech campus network only.
![[VT]](http://scholar.lib.vt.edu/images/ETD-db/restricted.gif)
