Person:

Feigh, Karen M.

Permanent Link

https://hdl.handle.net/1853/71250

Associated Organization(s)

Organizational Unit

Daniel Guggenheim School of Aerospace Engineering

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Publication Search Results

Now showing 1 - 10 of 20

Impact of Adverse Weather on Commercial Helicopter Pilot Decision-Making and Standard Operating Procedures

(Georgia Institute of Technology, 2021-08) Speirs, Andrew H. ; Ramee, Coline ; Payan, Alexia P. ; 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 surveyed and 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. Pilots were found to use a wide variety of weather sources for their initial go or no-go decision during the preflight phase, but use fewer weather sources in the cockpit while in-flight. Pilots highlighted the sparsity and sometimes inaccuracy of the weather information available to them in their prototypical operational domain. To compensate, they are forced to rely on local and experiential weather knowledge to supplement weather reports while still working to mitigate other external pressures. Based on the literature and on results from this work, recommendations are made to address the weather-related gaps faced by the rotorcraft community. This includes the installation of additional weather reporting stations outside of airports and densely populated areas, the further promotion of the HEMS tool to helicopter pilots in all industries, the development of weather tools capable of visualizing light precipitation such as fog, and the development of in-flight graphical displays that can help reduce the cognitive workload of interpreting weather information.
Judicial Evidential Reasoning for Decision Support Applied to Orbit Insertion Failure

(Georgia Institute of Technology, 2017-11) Jaunzemis, Andris D. ; Minotra, Dev ; Holzinger, Marcus J. ; Feigh, Karen M. ; Chan, Moses W. ; Shenoy, Prakash P.

Realistic decision-making often occurs with insufficient time to gather all possible evidence before a decision must be rendered, requiring an efficient process for prioritizing between potential action sequences. This work aims to develop a decision support system for tasking sensor networks to gather evidence to resolve hypotheses in the face of ambiguous, incomplete, and uncertain evidence. Studies have shown that decision-makers demonstrate several biases in decisions involving probability judgement, so decision-makers must be confident that the evidence-based hypothesis resolution is strong and impartial before declaring an anomaly or reacting to a conjunction analysis. Providing decision-makers with the ability to estimate uncertainty and ambiguity in knowledge has been shown to augment effectiveness. The proposed framework, judicial evidential reasoning (JER), frames decision-maker questions as rigorously testable hypotheses and employs an alternating-agent minimax optimization on belief in the null proposition. This approach values impartiality in addition to time efficiency: an ideal action sequence gathers evidence to quickly resolve hypotheses while guarding against bias. JER applies the Dempster-Shafer theory of belief functions to model knowledge about hypotheses and quantify ambiguity, and adversarial optimization techniques are used to make many-hypothesis resolution computationally tractable. This work includes derivation and application of the JER formulation to a GTO insertion maneuver anomaly scenario.
Development and Evaluation of an Automated Path Planning Aid

(Georgia Institute of Technology., 2012-11) Watts, Robert ; Christmann, Hans Claus ; Johnson, Eric N. ; Feigh, Karen M. ; Tsiotras, Panagiotis

Handling en route emergencies in modern transport aircraft through adequate teamwork between the pilot, the crew and the aircraft’s automation systems is an ongoing and active field of research. An automated path planning aid tool can assist pilots with the tasks of selecting a convenient landing site and developing a safe path to land at this site in the event of an onboard emergency. This paper highlights the pilot evaluation results of a human factors study as part of such a proposed automated planning aid. Focusing on the interactions between the pilot and the automated planning aid, the presented results suggest that a particular implementation of the pilot aid interface, which uses a simple dial to sort the most promising landing sites, was effective. This selectable sorting capability, motivated by the anticipated cognitive mode of the pilot crew, improved the quality of the selected site for the majority of the cases tested. Although the presented approach increased the average time required for the selection of an alternate landing site, it decreased the time to complete the task in the case of emergencies unfamiliar to the pilot crew.
Assessment of the accuracy of existing real-time wake vortex models

(Georgia Institute of Technology, 2011-03-31) Sankar, Lakshmi N. ; Schrage, Daniel P. ; Feigh, Karen M. ; Huff, Brian ; Flick, Ashley ; Manivannan, Vasu
Examination of Human Performance During Lunar Landing

(Georgia Institute of Technology, 2010-03) Chua, Zarrin K. ; Feigh, Karen M. ; Braun, Robert D.

Experimentally derived data was extrapolated to compare the lunar landing performance of human pilots to that of an automated landing system.12 The results of this investigation are presented. Overall, the pilots performed equal to or better than the automated system in 18% of the relevant cases, but required more fuel. Pilot site selections were further investigated as a function of the time to complete. Each hypothetical case was compared to the automated system, across a range of performance criteria weighting distributions. This performance criteria is threefold – proximity to point of interest, safety of the site, and fuel consumed. In general, the pilots perform better than the automated system in terms of safety and proximity to points of interest criteria. However, as the priority of fuel conservation increases, the tradeoff between using an autonomous landing system versus a human-in-command system favors the automation, especially if the pilot is not able to make the proper decision within a performance criteria specific threshold.
Modeling Cockpit Interface Usage During Lunar Landing Redesignation

(Georgia Institute of Technology, 2009-04) Chua, Zarrin K. ; Major, Laura M. ; Feigh, Karen M.

Fulfilling NASA’s space exploration objectives requires precision landing to reach lunar sites of interest. During the approach and landing stages, a landing point redesignation (LPR) display will provide information to the crew regarding the characteristics of alternate touchdown points. Building on a previous study which examined crew tasks during LPR but did not account for the specialized behavior of experts, this investigation will present a new task sequence model, specific to expert decision-making. This analysis furthers the development of a predictive task execution model, which is used to test the efficacy of alternate information display and operator actuator design concepts. The task model and cockpit display recommendations presented in this study provide a significant improvement in LPR task execution time. This paper examines the task sequence during lunar landing, describes the predictive task execution process model, and recommends cockpit display requirements for effective decision making.
Modeling Cockpit Interface Usage During Lunar Landing Redesignation

(Georgia Institute of Technology, 2009) Chua, Zarrin K. ; Major, Laura M. ; Feigh, Karen M.

Fulfilling NASA's space exploration objectives requires precision landing to reach lunar sites of interest. During the approach and landing stages, a landing point redesignation (LPR) display will provide information to the crew regarding the characteristics of alternate touchdown points. Building on a previous study which examined crew tasks during LPR but did not account for the specialized behavior of experts, this investigation will present a new task sequence model, specific to expert decision-making. This analysis furthers the development of a predictive task execution model, which is used to test the efficacy of alternate information display and operator actuator design concepts. The task model and cockpit display recommendations presented in this study provide a significant improvement in LPR task execution time. This paper examines the task sequence during lunar landing, describes the predictive task execution process model, and recommends cockpit display requirements for effective decision making.
Design of cognitive work support systems for airline operations

(Georgia Institute of Technology, 2008-08-20) Feigh, Karen M.

The thesis begins by examining the evolution of human performance modeling from the initial stimulus-response methods introduced during the industrial revolution to model factory worker productivity, continues with a discussion of the information processing model where human cognition was modeled as a series of actions carried out in a predefined order, and ends with the concept of cognitive control whereby cognition is not considered a context-free mental process but modeled as an individual's ability to maintain control under varying contexts and to counter the effects of disturbances. The results from a preliminary evaluation conducted to determine if CCMs could be measured and if they provided any additional insight cognitive work are presented, and reveal that CCMs could be measured and the self-assessed CCM varied as predicted. A design process is developed which utilizes the CCMs as representing specific patterns of activity, thus specifying the design requirements. Following this design process, a prototype is created and evaluated using a controlled experiment to examine the effectiveness of the CWSS. The experiment examines performance, workload, and patterns of activity, and has several interesting findings. The first is that performance was independent of the almost all of the predictors and covariates including participant's Self-assessed CCM, with the exception of CCM transitions. As in the preliminary study, participants who reported transitioning between CCMs also reported decreased performance, increased frustration and actually performed worse. Second, perceived performance varied linearly with a participant's self-assessed CCM, but not with the actual performance. Third, participants report lower levels of effort when using a CWSS DM that matched their operational CCM. Finally, the design process successfully created a CWSS with DMs which support strategic and tactical CCMs. Unfortunately, no specific performance improvements were found for cases where the participant's CCM matched the DM as hypothesized, calling into question the effectiveness of creating different design modes for performance improvement. This thesis presents two methods for measuring CCMs: one direct single scale and one indirect composite scale. The measurements correlate highly. Both have a high degree of face validity and user acceptance. In the end, the composite measure may be a more robust measure of CCM because it provides a greater degree of diagnosticity by specifically inquiring after different aspects of CCM and is less susceptible to an individual's interpretation of the relative importance of the multiple dimensions of CCMs included in the definitions.
Design of a Cognitive Work Support System for Airline Operations

(Georgia Institute of Technology, 2007-06) Feigh, Karen M. ; Pritchett, Amy R.
Contextual Inquiry of a 50 Aircraft Regional Airline Systems Operation Center

(Georgia Institute of Technology, 2007-02) Feigh, Karen M.

A contextual inquiry was conducted at the Systems Operations Control (SOC) of a regional airline with approximately 50 aircraft from the 8th-11th of November 2006. A total of 35 hours of direct observation were conducted with various members of the SOC Staff including the System Operations Control Shift Manager (SOCSM), the System Customer Service Manager (SCSM), the Dispatchers, and the Line Maintenance Planners (LMP). During the inquiry a wide variety of situations occurred: unscheduled maintenance delays, estimated ready time slips, a lightning strike, aircraft damage from a ground vehicle, a system-wide gate printer outage during a departure push, ATC delays, internet and subsequent ACARS outage, an unruly passenger disruption and turn back, and a sick dispatcher. The vast majority of these situations were handled as if they were no different from routine operations; however, there were moments when the SOC personnel were fully involved in the situation, and other minor tasks were being ignored or transferred to other personnel. The majority of high impact problems faced by the the airline’s SOC on a daily basis came from unscheduled maintenance or IT glitches. Unlike other airlines, ATC restrictions are not often an issue for this airline, although station curfews in southern California do place an additional constraint on the schedule recovery process. Similarly, weather was also only a minor issue during the contextual interview. Beyond the inevitable weather and maintenance interruptions, the majority of problems stemmed from software tools which limited the efficiency of the SOC personnel, and from procedures that required the SOCSM to do certain steps multiple times. For example, in order to keep the non-SOC personnel informed about the state of the airline, the SOCSM is required to run reports after each routing change and paste them into both email and the shift log. Additionally, the SOCSM is required to manually enter flight data to create new flights or to maintain existing ones. Similarly, the SOCSM is also required to manually enter and maintain maintenance segments for aircraft. The solution to these problems includes making better use of the current software’s functionality, investigating the actual information needs of the routing change recipient list, and incorporating additional automation to automatically create routing change reports and shift logs. The current software includes a capability to create new flights or maintenance segments using a correctly formatted text file. Using this capability would save much time in manual entry and minimize the number of typographical errors. Additional software should also be created to transition the incident reporting system and the shift log to an electronic database to facilitate data analysis. The SOCSM is currently responsible for posting any routing changes to a preset list via email. The actual information needs of these recipients should be reviewed to determine how frequently this information is actually required and whether or not a more scheduled reporting of all routing changes during a given time period might be adequate. Depending on the outcome, it might be possible to consolidate reports to once or twice a shift. Regardless, additional software should be created to automate the reporting process.