The research aims to contribute to analyze human/automation roles and responsibilities. This work will provide scenario-based methods for validation and verification of current day and NextGen concepts of operation and automated forms supporting these concepts of operation.
NSF GRFP - Design Knowledge Coordination: Enhancing Novice Aerospace Engineers’ Coordinated Decision-Making
Design Knowledge Coordination is a structured approach to integrating design considerations across the different disciplines in engineering design through use of goals, tasks, metrics, and decisions. A key aspect to connecting coordination to aerospace engineering design is the recognition that this process encompasses distinct, yet interdependent aspects of design.
This work addresses three research questions:
Human spaceflight is arguably one of mankind's most challenging engineering feats, requiring carefully crafted synergy between human and technological capabilities. One critical component of human spaceflight pertains to the activity conducted outside the safe confines of the spacecraft, known as Extravehicular Activity (EVA). Successful execution of EVAs requires significant effort and real-time communication between astronauts who perform the EVA and the ground personnel who provide real-time support.
Collision avoidance on large transport aircraft involves many components: Air Traffic Control (ATC), the pilot, and collision avoidance systems such as the Traffic alert and Collision Avoidance System (TCAS). This research explores pilots’ interactions with ATC, the environment, and current and future collision avoidance systems such as TCAS and systems using ADS-B, ACAS-X, and Interval Management.
We are interested in machines that can learn new things from people who are not Machine Learning (ML) experts. We propose a research agenda framed around the human factors (HF) and ML research questions of teaching an agent via demonstration and critique. Ultimately, we will develop a training simulation game with several nonplayer characters, all of which can be easily taught new behaviors by an end-user.
Decision makers are consistently asked to make decisions about the course of action required to achieve mission success regardless of the time pressure and the quantity and quality of information available. To be successful, they will adapt their decision strategies to the environment and even use heuristics, simple rules that use little information and can be processed quickly. To support these decision makers, we are designing proactive decision support systems that support adaptive decision making along a range analytic and heuristic strategies.
Support improved decision making under high stress, uncertain operational conditions through the development of proactive, context-based decision support aids. The objective of this project is to create a scientifically-principled design specification and prototype concepts for a set of decision aids capable of supporting decision making and judgment across multi-faceted mission with dynamic tasking requirements.
NextGen systems are envisioned to be composed of human and automated agents interacting with dynamic flexibility in the allocation of authority and autonomy. The analysis of such concepts of operation requires methods for verifying and validating that the range of roles and responsibilities potentially assignable to the human and automated agents does not lead to unsafe situations.
PURPOSE: The intent of this research is to (1) understand the gap between what is needed in industry to respond to this issue and what is taught in the aerospace engineering design curriculum and (2) design and implement educational interventions to address this gap and improve the ability of students to take into account stakeholder requirements.
NSF NRI-Small: Understanding Neuromuscular Adaptations in Human-Robot Physical Interaction for Adaptive Robot Co-Workers
The goal of this award is to develop theories, methods, and tools to understand the mechanisms of neuromotor adaptation in human-robot physical interaction. Human power-assisting systems, e.g., powered lifting devices that aid human operators in manipulating heavy or bulky loads, require physical contact between the operator and machine, creating a coupled dynamic system.