Development of a human performance model as a baseline for automatic change detection software capabilities in mine warfare
This study focused on the development of a human performance model as a baseline performance capability for automatic change detection software for use in mine warfare. Through a series of survey images, operator performance was observed under a variety of sonar image conditions, including increas...
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Monterey California. Naval Postgraduate School
2012
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-38832014-11-27T16:04:55Z Development of a human performance model as a baseline for automatic change detection software capabilities in mine warfare Barrett, Jason S. Whitaker, Lyn R. Williams, Richard D. Naval Postgraduate School (U.S.) This study focused on the development of a human performance model as a baseline performance capability for automatic change detection software for use in mine warfare. Through a series of survey images, operator performance was observed under a variety of sonar image conditions, including increasing clutter levels and changes in image altitude and orientation. While a rough model was developed utilizing only the physical attributes of the images, to obtain a close fit between the model and actual observations, the variability of personal proficiency was included in the final model. The inclusion of this parameter greatly improved model accuracy and highlights the need to better understand differences between operator performances in mine warfare planning. 2012-03-14T17:39:40Z 2012-03-14T17:39:40Z 2008-09 Thesis http://hdl.handle.net/10945/3883 266073348 Approved for public release, distribution unlimited Monterey California. Naval Postgraduate School |
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description |
This study focused on the development of a human performance model as a baseline performance capability for automatic change detection software for use in mine warfare. Through a series of survey images, operator performance was observed under a variety of sonar image conditions, including increasing clutter levels and changes in image altitude and orientation. While a rough model was developed utilizing only the physical attributes of the images, to obtain a close fit between the model and actual observations, the variability of personal proficiency was included in the final model. The inclusion of this parameter greatly improved model accuracy and highlights the need to better understand differences between operator performances in mine warfare planning. |
author2 |
Whitaker, Lyn R. |
author_facet |
Whitaker, Lyn R. Barrett, Jason S. |
author |
Barrett, Jason S. |
spellingShingle |
Barrett, Jason S. Development of a human performance model as a baseline for automatic change detection software capabilities in mine warfare |
author_sort |
Barrett, Jason S. |
title |
Development of a human performance model as a baseline for automatic change detection software capabilities in mine warfare |
title_short |
Development of a human performance model as a baseline for automatic change detection software capabilities in mine warfare |
title_full |
Development of a human performance model as a baseline for automatic change detection software capabilities in mine warfare |
title_fullStr |
Development of a human performance model as a baseline for automatic change detection software capabilities in mine warfare |
title_full_unstemmed |
Development of a human performance model as a baseline for automatic change detection software capabilities in mine warfare |
title_sort |
development of a human performance model as a baseline for automatic change detection software capabilities in mine warfare |
publisher |
Monterey California. Naval Postgraduate School |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/3883 |
work_keys_str_mv |
AT barrettjasons developmentofahumanperformancemodelasabaselineforautomaticchangedetectionsoftwarecapabilitiesinminewarfare |
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