Assessing the Effects of Multi-Modal Communications on Mental Workload During the Supervision of Multiple Unmanned Aerial Vehicles
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| Language: | English |
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Wright State University / OhioLINK
2013
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=wright1389651831 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-wright13896518312021-08-03T06:21:20Z Assessing the Effects of Multi-Modal Communications on Mental Workload During the Supervision of Multiple Unmanned Aerial Vehicles Bommer, Sharon Claxton Industrial Engineering Operations Research Technology mental workload unmanned aerial vehicles Crew Awareness Rating Scale multi-modal communications human supervisory control Human supervisory control (HSC) systems that require intermittent human input of commands to create actions within the system are helpful in reducing the human’s mental workload (MWL). HSC systems are commonly employed in the piloting and control of unmanned aerial vehicles (UAVs). As the ratio of UAVs to operators increases there is a clear need to understand the effort required to complete task requirements. Specifically, this research explored MWL relative to multi-modal communications using subjective and physiological measures. To accomplish this, a cognitive model was developed to understand the relationship between tasks and MWL. MWL was manipulated by measuring three in-flight variables: increased communication tasks, task interruptions, and a combination of these two variables. Results showed that task interruptions have the greatest influence on MWL suggesting that reducing the tasks complexity rather than number of UAVs, would be more effective in reducing operator workload. 2013 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1389651831 http://rave.ohiolink.edu/etdc/view?acc_num=wright1389651831 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Industrial Engineering Operations Research Technology mental workload unmanned aerial vehicles Crew Awareness Rating Scale multi-modal communications human supervisory control |
| spellingShingle |
Industrial Engineering Operations Research Technology mental workload unmanned aerial vehicles Crew Awareness Rating Scale multi-modal communications human supervisory control Bommer, Sharon Claxton Assessing the Effects of Multi-Modal Communications on Mental Workload During the Supervision of Multiple Unmanned Aerial Vehicles |
| author |
Bommer, Sharon Claxton |
| author_facet |
Bommer, Sharon Claxton |
| author_sort |
Bommer, Sharon Claxton |
| title |
Assessing the Effects of Multi-Modal Communications on Mental Workload During the Supervision of Multiple Unmanned Aerial Vehicles |
| title_short |
Assessing the Effects of Multi-Modal Communications on Mental Workload During the Supervision of Multiple Unmanned Aerial Vehicles |
| title_full |
Assessing the Effects of Multi-Modal Communications on Mental Workload During the Supervision of Multiple Unmanned Aerial Vehicles |
| title_fullStr |
Assessing the Effects of Multi-Modal Communications on Mental Workload During the Supervision of Multiple Unmanned Aerial Vehicles |
| title_full_unstemmed |
Assessing the Effects of Multi-Modal Communications on Mental Workload During the Supervision of Multiple Unmanned Aerial Vehicles |
| title_sort |
assessing the effects of multi-modal communications on mental workload during the supervision of multiple unmanned aerial vehicles |
| publisher |
Wright State University / OhioLINK |
| publishDate |
2013 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=wright1389651831 |
| work_keys_str_mv |
AT bommersharonclaxton assessingtheeffectsofmultimodalcommunicationsonmentalworkloadduringthesupervisionofmultipleunmannedaerialvehicles |
| _version_ |
1719435684871143424 |