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Articles 31 - 38 of 38
Full-Text Articles in Engineering
Aviation Weather Products In General Aviation: Interpretability And Usability Research Trends, Jacqueline Mcsorley, Jayde King, Beth Blickensderfer
Aviation Weather Products In General Aviation: Interpretability And Usability Research Trends, Jacqueline Mcsorley, Jayde King, Beth Blickensderfer
General Aviation Weather Display Interpretation
As a result of advances in weather forecasting and technology, today’s General Aviation (GA) pilots have access to a wealth of aviation weather information. During pre-flight planning, GA pilots may access weather radar images, satellite pictures, winds, and forecast maps. During flight, pilots can access in-cockpit weather displays, as well as, handheld portable weather devices. Despite the increasing advancement and accessibility of weather displays, there is limited research addressing the interpretability of both in-cockpit and preflight weather displays. This is particularly concerning considering that preflight planning and poor product interpretability have been cited as possible contributing factors for GA weather …
A Change In The Dark Room: The Effects Of Human Factors And Cognitive Loading Issues For Nextgen Tracon Air Traffic Controllers, Mark D. Miller, Sam Holley, Bettina Mrusek, Linda Weiland
A Change In The Dark Room: The Effects Of Human Factors And Cognitive Loading Issues For Nextgen Tracon Air Traffic Controllers, Mark D. Miller, Sam Holley, Bettina Mrusek, Linda Weiland
Publications
By 2020 all aircraft in United States airspace must use ADS-B (Automatic Dependent Surveillance-Broadcast) Out. This is a key component of the Next Generation (NextGen) Air Transportation System, which marks the first time all aircraft will be tracked continuously using satellites instead of ground-based radar. Standard Terminal Automation Replacement System (STARS) in the Terminal Radar Approach Control (TRACON) is a primary NextGen upgrade where digitized automation/information surrounds STARS controllers while controlling aircraft. Applying the SHELL model, the authors analyze human factors changes affecting TRACON controllers from pre-STARS technology through NextGen technologies on performance. Results of an informal survey of STARS …
Board 141: Engineering Identity As A Predictor Of Undergraduate Students' Persistence In Engineering, Debra A. Major, Seterra D. Burleson, Xiaoxiao Hu, Kristi J. Shryock
Board 141: Engineering Identity As A Predictor Of Undergraduate Students' Persistence In Engineering, Debra A. Major, Seterra D. Burleson, Xiaoxiao Hu, Kristi J. Shryock
Psychology Faculty Publications
Improving graduation rates of students who have selected and been admitted to engineering majors is a pivotal strategy in supporting national initiatives to increase the number of engineering graduates. Research suggests that the degree to which a student is attached to or belongs to engineering as a discipline better explains persistence-related outcomes than lack of interest and ability. As a result, identity frameworks have proven useful for furthering the understanding of engineering persistence. In this paper, we examine the relationship between undergraduate students’ engineering identity and persistence as an engineering major.
As part of an ongoing NSF IUSE project, a …
Speech Interfaces And Pilot Performance: A Meta-Analysis, Kenneth A. Ward
Speech Interfaces And Pilot Performance: A Meta-Analysis, Kenneth A. Ward
International Journal of Aviation, Aeronautics, and Aerospace
As the aviation industry modernizes, new technology and interfaces must support growing aircraft complexity without increasing pilot workload. Natural language processing presents just such a simple and intuitive interface, yet the performance implications for use by pilots remain unknown. A meta-analysis was conducted to understand performance effects of using speech and voice interfaces in a series of pilot task analogs. The inclusion criteria selected studies that involved participants performing a demanding primary task, such as driving, while interacting with a vehicle system to enter numbers, dial radios, or enter a navigation destination. Compared to manual system interfaces, voice interfaces reduced …
A Trust In Air Traffic Controllers (T-Atc) Scale, Bradley S. Baugh, Scott R. Winter
A Trust In Air Traffic Controllers (T-Atc) Scale, Bradley S. Baugh, Scott R. Winter
International Journal of Aviation, Aeronautics, and Aerospace
Trust is a concept that cannot be easily measured. Further, trust is domain-specific. Trust is a foundational aspect of safe flight operations in the National Airspace System, and while there has been much attention to trust in teams and trust in automation, there appears to be a gap in knowledge of a pilot’s trust in air traffic controllers. The purpose of this study was to develop and validate the Trust in Air Traffic Controllers (T-ATC) scale, a summative scale to measure a pilot’s trust in air traffic controllers. This study followed a three-step methodology. In steps one and two, words …
Emotion Forecasting In Dyadic Conversation : Characterizing And Predicting Future Emotion With Audio-Visual Information Using Deep Learning, Sadat Shahriar
Emotion Forecasting In Dyadic Conversation : Characterizing And Predicting Future Emotion With Audio-Visual Information Using Deep Learning, Sadat Shahriar
Legacy Theses & Dissertations (2009 - 2024)
Emotion forecasting is the task of predicting the future emotion of a speaker, i.e., the emotion label of the future speaking turn–based on the speaker’s past and current audio-visual cues. Emotion forecasting systems require new problem formulations that differ from traditional emotion recognition systems. In this thesis, we first explore two types of forecasting windows(i.e., analysis windows for which the speaker’s emotion is being forecasted): utterance forecasting and time forecasting. Utterance forecasting is based on speaking turns and forecasts what the speaker’s emotion will be after one, two, or three speaking turns. Time forecasting forecasts what the speaker’s emotion will …
Transfer Learning Approach To Multiclass Classification Of Child Facial Expressions, Megan A. Witherow, Manar D. Samad, Khan M. Iftekharuddin
Transfer Learning Approach To Multiclass Classification Of Child Facial Expressions, Megan A. Witherow, Manar D. Samad, Khan M. Iftekharuddin
Electrical & Computer Engineering Faculty Publications
The classification of facial expression has been extensively studied using adult facial images which are not appropriate ground truths for classifying facial expressions in children. The state-of-the-art deep learning approaches have been successful in the classification of facial expressions in adults. A deep learning model may be better able to learn the subtle but important features underlying child facial expressions and improve upon the performance of traditional machine learning and feature extraction methods. However, unlike adult data, only a limited number of ground truth images exist for training and validating models for child facial expression classification and there is a …
Fatigue Identification And Management In Flight Training: An Investigation Of Collegiate Aviation Pilots, Flavio A. C. Mendonca Ph.D.
Fatigue Identification And Management In Flight Training: An Investigation Of Collegiate Aviation Pilots, Flavio A. C. Mendonca Ph.D.
Publications
Pilot fatigue is a significant hazard affecting flight operations;
- Generally the product of one or more factors: Disrupted or lack of sleep;
- Inadequate food and or fluid intake;
- Mental;
- and Physical fatigue.
Previous studies have focused on military and commercial flight operations;
- Little to nothing has been done to investigate fatigue identification & management by general aviation pilots!