Facilitating operator interaction with quality of surveillance multi-robot systems

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dc.contributor Brown, Marcus E.
dc.contributor Gray, Jeff
dc.contributor Hong, Xiaoyan
dc.contributor Hu, Fei
dc.contributor.advisor Anderson, Monica D.
dc.contributor.author Dawson, Shameka
dc.date.accessioned 2017-03-01T16:35:47Z
dc.date.available 2017-03-01T16:35:47Z
dc.date.issued 2012
dc.identifier.other u0015_0000001_0001087
dc.identifier.other Dawson_alatus_0004D_11339
dc.identifier.uri https://ir.ua.edu/handle/123456789/1569
dc.description Electronic Thesis or Dissertation
dc.description.abstract Robotic systems are becoming more practical in military applications. In fact, unmanned aerial vehicles (UAVs) are being used for surveillance and reconnaissance missions. Using UAVs for surveying a region of interest can increase situational awareness and decrease human casualty by allowing the operator to view the video feeds from the UAVs. However, current systems utilize complex one (or multiple) operator/one robot interfaces. In addition, human-in-the-loop models create issues because human operators tend to intervene more frequently if they do not trust the system or their expectations of the autonomy are not met. As a result, excessive or inept human intervention could negatively affect workload, situational awareness, and performance. This dissertation is aimed at allowing a single operator to efficiently manage multiple UAVs and interact effectively with higher levels of autonomy. By providing the operator with a mechanism to interact with the autonomy and aid in decision making, the operator becomes a part of the autonomous team. Contributions of this dissertation related to facilitating operator interaction with multi-robot surveillance systems include: (1) knowledge that trust is more than an understanding that the actions of an autonomous team are rational, but related to experiencing the actions' rationale; (2) a novel approach to teaming based on spatial and temporal environmental cues; and (3) the design and implementation of a testbed to measure the effect of the operator teaming with an autonomous system. Studies are used to evaluate the system and elucidate factors that affect operator trust. Results suggest that a human operator can team with multiple robots and effectively interact with higher levels of autonomy by experiencing the autonomous team's rationale using environmental cues. This approach using the spatial and temporal environmental cues was also found to promote trust, lower workload, and increase situational awareness while not degrading task performance.
dc.format.extent 144 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Robotics
dc.subject.other Computer science
dc.title Facilitating operator interaction with quality of surveillance multi-robot systems
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Dept. of Computer Science
etdms.degree.discipline Computer Science
etdms.degree.grantor The University of Alabama
etdms.degree.level doctoral
etdms.degree.name Ph.D.

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