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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Now showing 1 - 10 of 15

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 a Cognitive Work Support System for Airline Operations

(Georgia Institute of Technology, 2007-06) Feigh, Karen M. ; Pritchett, Amy R.
Airline Command and Control: An Ethnographic Study

(Georgia Institute of Technology, 2007) Feigh, Karen M. ; Pritchett, Amy R.

The role of airline operations control centers in the national air transportation system is increasing. Yet, the role of airline operations personnel has not been well studied. This paper presents the findings of a series of ethnographic studies examining the work of airline Operational Managers (OMs) across several major and regional airlines. The role of airline OMs, and the information and tools they use to solve problems and maintain the airline's published schedule are discussed. Additionally, several work models developed as a result of the ethnography are presented and discussed. The work models include an information flow model, cultural model, artifact models, and sequence models. Implications are presented and discussed which transcend airline operations and are applicable to command and control more generally.
Design of Support Systems for Cognitive Work in Airline Operations

(Georgia Institute of Technology, 2006-09) Feigh, Karen M. ; Pritchett, Amy R.

This paper examines design of support systems for airline operations. Previous studies found that cognitive work which includes activities such as judgment and decision making varies with context such that a single method of supporting cognitive work can not apply in many situations. Specifically, time constraints have been found to be a major factor in the both the decision strategies adopted by individuals and in the contextual control mode individuals operate in. An approach is presented to incorporate the Contextual Control Model into the design of a cognitive work support system to address the issue of varied time constraints. Specific examples are given for support systems for airline decision makers operating in the Strategic, Tactical and Opportunistic Contextual Control Modes.
Design of Multi-mode Support Systems for Airline Operations

(Georgia Institute of Technology, 2006-09) Feigh, Karen M. ; Pritchett, Amy R.

This paper discusses designing support systems for cognitive work environments, focusing specifically on airline operations. Previous studies found that cognitive work, which includes activities such as judgment and decision making, varies with context such that a single method of supporting cognitive work would not apply in many situations. For example, time constraints have been found to be a major factor in the both the decision strategies adopted by individuals and in the contextual control mode individuals operate in. In order to best support multiple modes of cognitive work, a multiple mode support system design is proposed. The Contextual Control Model is used as the basis for the multiple mode support system as its model of control provides a useful framework upon which different patterns of behavior observed due to varying context can be aggregated into four distinct modes.