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Daniel Guggenheim School of Aerospace Engineering
Daniel Guggenheim School of Aerospace Engineering
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ItemHelicopter Operations Weather Information Pilot Interviews(Georgia Institute of Technology, 2021-01-29) Speirs, Andrew ; Ramee, Coline ; Alexia, Payan ; Mavris, Dimitri N. ; Feigh, Karen M.Helicopter pilots face unique challenges with regard to adverse weather when compared to fixed-wing pilots. Rotorcraft typically operate at lower altitudes in off-field areas that are not always well covered by weather reporting stations. Although recent technological advances have increased the amount of weather data that pilots can access in the cockpit, weather remains a factor in 28% of fatal helicopter accidents. In this work, commercial helicopter pilots were interviewed to better understand how they gather and process weather information, what the perceived limitations of current weather tools are, and how their decision-making process is affected by the information they gather and/or receive.
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ItemHelicopter Operations Weather Information Survey Dataset(Georgia Institute of Technology, 2020-11-23) Payan, Alexia P. ; Ramee, Coline ; Speirs, Andrew ; Mavris, Dimitri N. ; Feigh, Karen M.To better understand the kind of weather information used by rotorcraft operators and get their opinion on the weather products that are available to them, the research team created an online survey. The survey consisted of three main sections: 1) Demographics, 2) Flight environment, and 3) Safety Operations. The information collected was used to analyze the number and types of weather information sources used by pilots in different phases of flight, identify differences between industries and study pilots training for adverse weather conditions. The data contained here is an anonymized version of answers to the survey.
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ItemEvaluation of the Usability and Learnability of Vehicle Sketch Pad in Academia(Georgia Institute of Technology, 2016-06-02) MacLeod, Stephanie F. ; Feigh, Karen M.This paper describes an evaluation of the usability and learnability of Vehicle Sketch Pad (VSP) within the academic aerospace engineering field. In addition, this paper provides suggestions on how Vehicle Sketch Pad should develop to better provide a desirable graphical user interface (GUI). Aerospace Engineering graduate students were asked to perform specific tasks within Vehicle Sketch Pad, and their performance, efficiency, and workload while completing these tasks were measured. The same students were asked to perform similar tasks within a more traditional computer aided design (CAD) tool, AutoDesk Inventor. At this time, how the user interfaced with the Inventor GUI and what features within the interface they liked and did not like were measured. Analysis of the results of this experiment showed that all three experience-based noise variables, undergraduate major, prior courses taken, and prior VSP experience, do impact the user’s performance, efficiency, and workload while completing a task in VSP. For example, those with a more in-depth Aerospace-related background perceived less workload than those with alternative backgrounds. Additionally, the VSP GUI proved to have a statistically significant impact on the user’s performance, efficiency, and workload. For example, those who experienced confusion due to the workspace layout expressed they felt utilizing VSP was a very mentally demanding task. As a result this analysis, a roadmap for VSP development opportunities was created. This roadmap included users’ opinions and the researcher’s observances of gaps within the VSP GUI in addition to suggestions based on the Inventor GUI.
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ItemSingle-operator Multi-vehicle Human-Automation Interface Study dataset(Georgia Institute of Technology, 2015-05) Feigh, Karen M. ; Johnson, Eric N. ; Christmann, Hans ClausWith 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.
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ItemLaminar flame speed dataset for hydrocarbon fuels at high preheat, pressure and dilution(Georgia Institute of Technology, 2014-10-13) Kochar, Yash N.These datasets provide the laminar flame speed of methane, ethane, and propane and their binary mixtures at conditions of interest in natural gas based gas turbines. It comprises of flame speed of C1-C3 alkanes at preheat (300-650 K), pressure (1-10 atm), and significant oxidizer dilution (15-21 vol% O2). The "BunsenFlameSpeedDataset" file includes measurements performed using the modified Bunsen flame technique, and the "StagnationFlameSpeedDataset" file includes measurements performed using the stagnation flame technique.
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ItemDecision Making with Incomplete Information Dataset(Georgia Institute of Technology, 2014-07-09) Feigh, Karen M. ; Canellas, Marc ; Chua, Zarrin K.Decision makers are often required to make decisions with incomplete information. In order to design decision support systems (DSSs) utilizing restrictiveness and guidance to assist decision makers in these situations, it is essential to understand how certain decision making strategies are affected by incomplete information. This paper presents the results of a simulation measuring the accuracy and effort of take-the-best (TTB) and Tallying alongside two normative-rational decision making strategies, weighted-additive (WADD) and equal-weighting (EW) in scenarios with varying levels of total information, information imbalance, dispersion, and dominance. The results show there is significant variability in the effort requirements of heuristic strategies which may diminish the arguments for effort-accuracy trade-offs. Additionally, heuristic strategies were shown to be closest in accuracy to normative-rational strategies when context features matched dynamic decision settings. Ultimately, methods for restrictiveness and guidance based on trade-offs between total information and information imbalance were shown to enable reductions in total information that actually increased the accuracy of heuristics.
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ItemNeural Networks for Assessment of Flight Deck Human-Automation Interaction Dataset(Georgia Institute of Technology, 2013-08-22) Feigh, Karen M. ; Sullivan, Katlyn B. ; Mappus, Rudolph Louis, IV ; Durso, Frank ; Fischer, Ute ; Pop, Vlad ; Mosier, Kathleen T. ; Morrow, Daniel G.
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ItemCognitive Process Model, Validation Data, Initial Modeling Results(Georgia Institute of Technology, 2013-07-30) Chua, Zarrin K.These are the model files for the cognitive process model (moderate, Apollo-like function allocations) and four landing areas on the South Pole of the moon. With this data set, the user should be able to visualize the chosen landing sites for each user in the August 2012 human in the loop experiment conducted with the NASA astronaut office, validation of the cognitive model, and a set of randomly generated data points used for initial results.
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ItemControl Cost Simulation Data(Georgia Institute of Technology, 2013-07-22) Popescu, Vlad M.This simulation studies control cost in an airspace sector. The effects of autonomy ratio and traffic volume on control cost are exhibited. The research uses a Monte Carlo simulator framework which allocates directly controlled routes and autonomous self-deconflicting 4-D trajectory flows in the airspace. Several stochastic models of aircraft scheduling, navigation precision, and conflict detection and resolution are interconnected in the simulation. A Poisson process model is proposed for control cost.