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dc.contributor.authorFeigh, Karen M.
dc.contributor.authorJohnson, Eric N.
dc.contributor.authorChristmann, Hans Claus
dc.coverage.spatialUSA, Georgia, Atlanta, Georgia Institute of Technologyen_US
dc.coverage.temporal2014-9-01 through 2014-12-31
dc.date.accessioned2015-05-13T19:27:40Z
dc.date.available2015-08-12T05:30:05Z
dc.date.issued2015-05
dc.identifier.urihttp://hdl.handle.net/1853/53344
dc.descriptionThe presented data contain 100 data sets collected from 25 participants (each doing 4 scenarios) in a human subject study to evaluate the interface and a provided aid in a single-operator, multi-vehiclce simulation of a human-automation team. Each set contains 4 screen capture videos of the scenarios, 4 responses from a post-scenario questionnaire, and the answers from a single post-experiment questionnaire. The files are packaged in a zipped file, and they must be extracted before they can be used.en_US
dc.descriptionThe software framework that created the dataset is released under the Apache License 2.0 (available from https://github.com/mvsframework) and, where non-opensource parts are used, software packages with free academic licenses have been chosen, resulting in a framework that is completely free for academic research.en_US
dc.descriptionThe questionnaire data was collected and digitized via SDAPS (httg://sdags.org) and manually altered/corrected: the age and gender identification have been removed, some free form entries have been manually binned (e .g. field of study). The unaltered responses are available in the related dissertation by Christmann, yet not associable to the individual participants.en_US
dc.description.abstractWith the achievement of autonomous flight for small unmanned aircraft, currently ongoing research is expanding the capabilities of systems utilizing such vehicles for various tasks. This allows shifting the research focus from the individual systems to task execution benefits resulting from interaction and collaboration of several aircraft. Given that some available high-fidelity simulations do not yet support multi-vehicle scenarios, a multi-vehicle framework has been introduced which allows several individual single-vehicle systems to be combined into a larger multi-vehicle scenario with little to no special requirements towards the single-vehicle systems. The created multi-vehicle system offers real-time software-in-the-loop simulations of vehicle teams across multiple hosts and enables a single operator to command and control a several unmanned aircraft beyond line-of-sight in geometrically correct two-dimensional cluttered environments through a multi-hop network of data relaying intermediaries. The related dissertation by Christmann presents the main aspects of the developed system: the underlying software framework and application programming interface, the utilized inter- and intrasystem communication architecture, the graphical user interface, and implemented algorithms and operator aid heuristics to support the management and placement of the vehicles.The effectiveness of the aid heuristics is validated through a human subject study which showed that the provided operator support systems significantly improve the operators' performance in a simulated first responder scenario. This dataset contains the collected data of that human subject study.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectUAVen_US
dc.subjectUASen_US
dc.subjectOperator interfaceen_US
dc.subjectRemote pilotingen_US
dc.subjectUnmanned aerial vehiclesen_US
dc.subjectUnmanned aerial systemen_US
dc.titleSingle-operator Multi-vehicle Human-Automation Interface Study dataseten_US
dc.typeDataseten_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Aerospace Engineeringen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Unmanned Aerial Vehicle Research Facilityen_US
dc.embargo.terms3 monthsen_US


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