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This thesis proposal examines context dependent total energy alerting to protect against low energy unstable approaches in commercial aviation operations. Currently, many individual states are monitored independently to identify unstable approaches, rather than an integrated single assessment of total energy. An alert would also have to be context dependent, integrating the individual states along with phase of flight awareness, aircraft profile modeling, and expected human responses to ind
Shipboard-landing maneuvers in rotorcraft piloting involve a number of unique challenges. Such maneuvers can be cognitively demanding even for experienced rotorcraft pilots. To minimize risk, these maneuvers are conducted within well-defined boundaries related to weather and visibility. In order to expand this envelope, technological aids are being proposed to augment decision making capabilities and reduce pilot workload without compromising safety.
This proposal defines a research plan to investigate the effects of visibility range and runway marking on pilot performance with enhanced flight vision systems. The motivation behind this experiment is to observe the implications of sensor technologies in general aviation. This research hopes to provide some insight into the possible concerns of enhanced flight vision systems with regards to pilot performance.
Decision makers are continuously required to make choices in environments with incomplete information. This dissertation sought to understand and, ultimately, support the wide range of decision making strategies used in environments with incomplete information. The results showed that the standard measure of incomplete information as total information, is insufficient for understanding and supporting decision makers faced with incomplete information.
Matthew presented at the AIAA SciTech 2017 in Dallas, Texas where he discussed the on-going activities of designing and building next generation prototype software tools for astronauts in deep-space. As NASA extends human presence into deep-space, crew will have to be come more reliant upon local resources in order to overcome unexpected perturbations during operations. This talk sets the stage for initial research efforts aiming to build tools to support crew successfully perform extravehicular activity (more commonly known as spacewalks)
Models of human behavior are essential for simulating military operations and supporting command and control across a variety of environments. These models must be able to represent the range of judgment and decision making strategies actually used by operators: from the naturalistic heuristics to the prescribed strategies from the operators’ training and commanders. This talk introduces a general linear model (GLM) of judgment and decision making that can be constructed to represent both of these descriptive and prescriptive human behaviors. We conclude by showing how the GLM can be used to describe large variations in human performance in various environments, prescribe new judgment and decision making strategies for better operational performance, and design new decision support methods and tools.
This poster contains a summary of the Congitive Engineering Center, answering the following questions:
This poster contains a summary of the major projects ongoing in the Cognitive Engineering Center as of September 2016. It was generated to present at the 10th Annual AE Expo on Sept. 7, 2016.
Abstract: This poster introduces a general linear model which integrates three major components of judgment and decision making: cue weights (the relative importance of cues), estimates of missing information (what value should an unknown cue be assigned), and utility functions (converting a cue's environmental value to a useful score). From these three components many well-studied decision making strategies, particularly those from the fast-and-frugal heuristics program, can be derived.
Cognitive Engineering Center (CEC) Georgia Institute of Technology 270 Ferst Drive Atlanta GA 30332-0150
