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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-wright12295355342021-08-03T06:16:58Z Modeling Training Effects on Task Performance Using a Human Performance Taxonomy Meador, Douglas P. Engineering Human performance modeling learning curve performance prediction human performance channels modeling and simulation skill acquisition skill retention skill reacquisition training strategy retention interval military training IMPRINT Pro There is little argument that modern military systems are very complex, both in terms of the resources in time and money to develop them and the infrastructure that is required to produce trained operators. To properly execute human systems integration during the acquisition process, systems built to train operators must be developed that optimize training. Consequently, the training system community would benefit from simulation models that provide the ability to make accurate predictions of training processes, and allow the decision maker to specify an optimum combination of operator performance after training and the cost of that training. The goal of this research is the construction of a model of human learning using time to complete a task as a performance measure. While past research has explored the nature of functions to characterize human learning, this study will examine processes used to build a model that considers task performance as a function of training methods used to instruct a task, the nature of the task being taught, and the ability of the human to retain skill over a specified period of nonuse. An empirical study was performed to collect data from individuals completing tasks typically performed by sensor operators assigned to military unmanned aircraft systems. The tasks performed covered a range of activities that require varying combinations of human perceptual, cognitive and motor skills. The data were fitted to a set of models that were used to predict the performance outcome of a task similar in type to those used to build the model. Results are reported and recommendations for future research are offered. 2008-12-31 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534 http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Engineering
Human performance modeling
learning curve
performance prediction
human performance channels
modeling and simulation
skill acquisition
skill retention
skill reacquisition
training strategy
retention interval
military training
IMPRINT Pro
spellingShingle Engineering
Human performance modeling
learning curve
performance prediction
human performance channels
modeling and simulation
skill acquisition
skill retention
skill reacquisition
training strategy
retention interval
military training
IMPRINT Pro
Meador, Douglas P.
Modeling Training Effects on Task Performance Using a Human Performance Taxonomy
author Meador, Douglas P.
author_facet Meador, Douglas P.
author_sort Meador, Douglas P.
title Modeling Training Effects on Task Performance Using a Human Performance Taxonomy
title_short Modeling Training Effects on Task Performance Using a Human Performance Taxonomy
title_full Modeling Training Effects on Task Performance Using a Human Performance Taxonomy
title_fullStr Modeling Training Effects on Task Performance Using a Human Performance Taxonomy
title_full_unstemmed Modeling Training Effects on Task Performance Using a Human Performance Taxonomy
title_sort modeling training effects on task performance using a human performance taxonomy
publisher Wright State University / OhioLINK
publishDate 2008
url http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534
work_keys_str_mv AT meadordouglasp modelingtrainingeffectsontaskperformanceusingahumanperformancetaxonomy
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