Assessing the impact of low workload in supervisory control of networked unmanned vehicles

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010.

Bibliographic Details
Main Author: Hart, Christin S. (Christin Sharon)
Other Authors: Mary L. Cummings.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/59677
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author Hart, Christin S. (Christin Sharon)
author2 Mary L. Cummings.
author_facet Mary L. Cummings.
Hart, Christin S. (Christin Sharon)
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description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010.
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spelling mit-1721.1/596772019-04-10T09:19:37Z Assessing the impact of low workload in supervisory control of networked unmanned vehicles Hart, Christin S. (Christin Sharon) Mary L. Cummings. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2010. Cataloged from PDF version of thesis. Includes bibliographical references (p. )122-126. This research investigated the effects of prolonged low workload on operator performance in the context of controlling a network of unmanned vehicles (UxVs) in a search, track, and destroy mission with the assistance of an automated planner. In addition, this research focused on assessing the physical, social, and cognitive coping mechanisms that operators rely upon during prolonged low workload missions. An experiment was conducted to collect data for researching the impact of low workload in human supervisory control of networked, heterogeneous UxVs. This research showed that performance was not necessarily affected at the low end of the workload spectrum, especially in the context of human supervisory control of networked UxVs. Given varying levels of low taskload, operators tended to gravitate toward a common total utilization (percent busy time) that was well above the required utilization. The boredom due to the low taskload environment caused operators to spend the majority of their time distracted; to a lesser degree, operators were more directed than divided in terms of attention. More directed attention predicted higher operator performance, especially in the tracking portion of the mission. Higher utilization predicted improved operator performance in search and destroy tasks, but hindered the automation's ability to track targets. Video gaming experience was a detriment to destroying hostile targets in this long duration, low workload mission involving human supervisory control of networked UxVs. Vigilance, shown by a decrement in amount of directed attention per hour, decreased over the course of the mission duration. Top performers had higher directed attention and coped with the boredom through extreme focus or use of switching times to stay engaged in the mission. In comparison to a moderate workload study, participants in this low workload experiment performed both better and worse. Low workload did not necessarily cause a drop in operator performance. by Christin S. Hart. S.M. 2010-10-29T18:09:48Z 2010-10-29T18:09:48Z 2010 2010 Thesis http://hdl.handle.net/1721.1/59677 668218158 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 126 p. application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Hart, Christin S. (Christin Sharon)
Assessing the impact of low workload in supervisory control of networked unmanned vehicles
title Assessing the impact of low workload in supervisory control of networked unmanned vehicles
title_full Assessing the impact of low workload in supervisory control of networked unmanned vehicles
title_fullStr Assessing the impact of low workload in supervisory control of networked unmanned vehicles
title_full_unstemmed Assessing the impact of low workload in supervisory control of networked unmanned vehicles
title_short Assessing the impact of low workload in supervisory control of networked unmanned vehicles
title_sort assessing the impact of low workload in supervisory control of networked unmanned vehicles
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/59677
work_keys_str_mv AT hartchristinschristinsharon assessingtheimpactoflowworkloadinsupervisorycontrolofnetworkedunmannedvehicles