181-190 of 224 results
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Air Traffic Controllers’ Occupational Stress and Performance in the Future Air Traffic Management
PI Hui Wang
CO-I Edward Mummert
As demand for unmanned aerial vehicle (UAV) operations increases, it is vital to understand its effects on air traffic controllers and the safety of the national airspace system. This study’s primary purpose is to determine how UAVs that operate in controlled airspace would influence air traffic controllers’ occupational stress and performance. In a within-subject experimental research design, 24 participants sampled from a university’s undergraduate Air Traffic Management (ATM) program completed three different air traffic control (ATC) scenarios on an en-route ATC simulation system. The degree of UAV automation and control were varied in each scenario. The participants’ stress levels, performance, and workload were measured with both objective and subjective measurements. Within-subjects ANOVA tests showed significant effects on the participants’ stress level, performance, and workload when automated UAVs were present in the scenario. Participants experienced increased workload, the highest level of stress, and carried out the worst performance when with controllable UAVs in the airspace. These findings can inform UAV integration into controlled airspace and future research into UAV automation and control and ATC management.
Read moreCategories: Graduate
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Safety Systems, Culture, and Passengers’ Willingness to Fly in Autonomous Air Taxis
PI Kenneth Ward
CO-I Scott Winter
As city populations grow, the transportation industry plans to alleviate traffic congestion by introducing the urban air mobility (UAM) concept, in which small passenger and cargo aircraft augment metropolitan transportation networks. A key component of UAM is that of air taxis, which are on-demand air services for individuals and small groups. In addition, UAM companies are designing the aircraft to operate fully autonomously: The intent is for the vehicles to arrive and transport people from point to point without input from human pilots.
Read moreCategories: Graduate
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Research and update SSCP Study Guide to 3d Edition
PI Michael Wills
Research current cybersecurity industry best practices, threat intelligence, and regulatory requirements, as part of publisher update for (ISC)2 Systems Security Certified Professional Study Guide, 3d Edition
Read moreCategories: Faculty-Staff
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Experimental Academics in Action at ERAU (EAA-at-ERAU)
PI Michael Wills
EAA@ERAU: IMAGINE an Experimental Academic Approach that puts academic experimentation into action in ways that attract and engage both existing students AND prospective students, students who want to join us in blazing a new trail, finding a new way to look at a tried-and-true topic.
Read moreCategories: Faculty-Staff
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Academic Innovation Research Fellowship Grant: Scaling Up the Academic Integrity Vaccine Toolkit
PI Michael Wills
Empirical evaluation of class design techniques that empower students to take creative, active, agile ownership of their learning, thus auto‐immunizing against accidental or deliberate academic integrity issues; scalable as a toolkit by other instructors in other disciplines across ERAU
Read moreCategories: Faculty-Staff
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Update content and teaching design, CISSP Official Training Course, to meet 2021 best security practices
PI Michael Wills
Research, curate, and redevelop all course materials to meet 2021 best cybersecurity practices and certification requirements for (ISC)2 Certified Information Systems Security Professional program
Read moreCategories: Faculty-Staff
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Research, Curate, Update content and teaching design, SSCP Official Training Course, to meet 2021 best security practices
PI Michael Wills
Research, curate, and redevelop all course materials to meet 2021 best cybersecurity practices and certification requirements for (ISC)2 Systems Security Certified Professional program
Read moreCategories: Faculty-Staff
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Usability of Urban Air Mobility: Quantitative and Qualitative Assessments of Usage in Emergency Situations
PI Scott Winter
CO-I Stephen Rice
CO-I Sean Crouse
The purpose of these studies is to determine the usability of urban air mobility (UAM) vehicles in the emergency response to natural disasters and the ideal locations for their take-off and landing sites to occur, consistent with the Center's Theme 2. UAM involves aerial vehicles, mostly operated autonomously, which can complete short flights around urban areas, although their applications are expanding to rural operations as well. While initially designed to support advanced transportation mobility, these vehicles could offer numerous advantages in the emergency response to natural disasters. Through a series of four studies with over 2,000 total participants, quantitative and qualitative methods will be used to identify UAM vehicles' usability in response to natural disasters. The studies will examine the types of natural disasters and types of missions where UAM could be considered usable, along with the creation of a valid scale to determine vertiport usability. Interviews will also be conducted to provide qualitative insights to complement the quantitative findings.
Read moreCategories: Faculty-Staff
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Assessing If Motivation Impacts General Aviation Pilots’ Persistence in Varying Weather Conditions
PI Sabrina Woods
CO-I Scott Winter
Continued flight under visual flight rules into instrument meteorological conditions is the predominant cause for fatal accidents by percentage, for general aviation aircraft operations. It is possible that a pilot’s motivation or reason for flying will override other safer, more logical courses of action when a hazard presents itself. The decision appears to stem from a willingness to persist in a course of action despite factors that indicate an alternate and safer course is warranted. This research addresses what is currently presumed about the decision to continue flying under visual flight rules into instrument conditions and marries those ideas with the extensive studies on how theoretically affects the decision-making process.
Read moreCategories: Graduate
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Distributed Detection and Control of Collective Behaviors in Multi-agent Systems
PI Tianyu Yang
Multi-agent systems can be defined as a group of dynamical systems, in which certain emergent behaviors are exhibited through the local interaction among group members that individually have the capability of self-operating. The key issues we study include the analysis of network controllability and the design of coordination control protocol in order to achieve autonomous and optimal tasking allocation. Also, the detection and resilient control of emergent behaviors in large scale multi-agent systems are of keen interest.
Read moreCategories: Faculty-Staff
181-190 of 224 results