A Design and Description Method for Human-Autonomy Teaming Systems

Schulte, Axel; Donath, Diana

doi:10.1007/978-3-319-73888-8_1

Cited by 12 publications

(2 citation statements)

References 7 publications

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“…Autonomy and automation are two concepts that are also significant in the discourse surrounding future space missions [8]. In their fundamental terms, autonomy is defined as being attributed to systems that can operate outside of human interaction [9], while automation is defined as the capability for a function to be carried out independently [10]. In the context of a human spaceflight mission, autonomy is defined as the ability for a system to respond to a fault on its own, which can range from the system simply sensing that an aspect of the state of the crew, vehicle or mission has changed, or making a decision on an action to be taken without human input [11].…”

Section: Autonomy Automation and Their Relationship To Human Spaceflightmentioning

confidence: 99%

Simulation Builder, Analysis, and Development (SimBAD) Toolkit for Human Spaceflight Operation Training using the SpaceCRAFT Simulation Platform

Young

Jakubik

Zhong

et al. 2022

2022 IEEE Aerospace Conference (AERO)

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As the scope of human spaceflight continues to expand, the Human Systems Integration (HSI) developed to support complex missions must be robust and efficient. This risk has been outlined in the Human Research Roadmap (HRR) as the "Risk of Adverse Outcomes Due to Inadequate Human Systems Integration Architecture"[1], short name HSIA. One of the most critical elements of any human spaceflight mission is training, which prepares flight operations teams with the resources necessary to carry out that mission. As more distant destinations such as the Moon or Mars are targeted for human spaceflight, ensuring crew have the tools they need to overcome new types of challenges will be a significant focus when developing new training infrastructures. With the nature of such missions, there are several knowledge gaps associated with HSIA that motivate investigating how training should be carried out on such missions. This research focuses on studying these gaps and using the findings to create a conceptual demonstration for a tool that can be used to assist in the training infrastructure that supports future spaceflight missions. This tool is called the Simulation Builder, Analysis, and Development (Sim-BAD) tool, which is a User Interface (UI) that utilizes the Space Collaborative Real-time Analysis and Flight Toolkit to build virtual training environments. There are four main objectives that incentivize the development of this tool, the improved collaboration between groups in the flight operations team, a training framework that is capable of being packaged on board a spacecraft, a framework that accounts for dynamic mission parameters, and a heightened level of autonomy for crew on missions. These objectives have been driven by the findings from an examination of current spaceflight training methods, previous research on training for future missions, and elements of the HSIA risk that pertain to training.The SimBAD tool was designed with features that were motivated by these objectives to effectively create a virtual training facility. These features allow the user to control the environments, systems, procedures, events, and evaluations that are constructed together inside a virtual simulation. Giving this control to users as well as access to the environment through Virtual Reality ACKNOWLEDGMENTS There are a lot of people who helped make this thesis something that I could realistically complete. First of all is Dr. Gregory Chamitoff, without whom I would not have had the guidance, support, and inspiration to pursue this degree. Working with him has been a great experience and I'm grateful for all the opportunities that he helped make sure I was able to take advantage of. To all of my colleagues at the ASTROLab, I also have to give some credit, especially because of the many countless nights I spent pestering people on Slack with questions I had. Specifically Connor, Patrick, Alex, Elise, Colton and Trevor. I would also like to thank my committee, Dr. Nancy Currie-Gregg and Dr. Ana Diaz Artiles for doing helping guide m...

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Section: Autonomy Automation and Their Relationship To Human Spaceflightmentioning

confidence: 99%

Simulation Builder, Analysis, and Development (SimBAD) Toolkit for Human Spaceflight Operation Training using the SpaceCRAFT Simulation Platform

Young

Jakubik

Zhong

et al. 2022

2022 IEEE Aerospace Conference (AERO)

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“…In Schulte and Donath (2018), a description method and a common language to structure and depict configurations for highly automated work systems involving humans ( ), cognitive agents ( ), and conventional automation ( ) were introduced. Those actors can be attributed to different roles in the work system (i.e., Worker or Tool).…”

Section: Tasking Teaming and Swarming Design Patternsmentioning

confidence: 99%

Experimental evaluation of tasking and teaming design patterns for human delegation of unmanned vehicles

Heilemann

Lindner

Schulte

2021

Hum.-Intell. Syst. Integr.

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This work discusses different approaches for the cooperation between humans as a supervisor and multiple unmanned vehicles (UVs). We evaluated the most promising approach experimentally with expert pilots of the German Air Force. The co-agency of humans and highly automated unmanned systems (i.e., human autonomy teaming, HAT) is described by the use of a design and description language for HAT design patterns. This design language is used to differentiate control modes for tasking, teaming, and swarming of UVs. The different control modes are then combined in a planner agent (PA) design pattern that further enables the UV guidance on scalable delegation levels from a single individual up to a team. The desired system behavior and interaction concept of the PA for these scalable delegation levels is then transferred to the domain of manned-unmanned teaming in fighter aircraft missions. To demonstrate the applicability of the system, we implemented the concept into our fast-jet simulator of the Institute of Flight Systems (IFS) and conducted an experimental campaign with expert pilots. The results of the experiment showed (1) task delegation with the PA design pattern is faster and reduces the error potential; (2) scalable delegation levels enable a pilot and situation-specific task delegation; (3) the delegation of teams is faster and reduces the error potential; however, in some situations, deeper access through the scalable delegation levels is needed; (4) the concept is intuitive and the transparency and trust in UVs and swarms were very high; and (5) the pilots could imagine operating such systems in the future. Overall speaking the presented PA design pattern is suited for the guidance of UVs and the scalable delegation levels are beneficial.

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Concept of an Adaptive Cockpit to Maintain the Workflow of the Cockpit Crew

Müller

Schulte

2020

Advances in Intelligent Systems and Computing

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A Design and Description Method for Human-Autonomy Teaming Systems

Cited by 12 publications

References 7 publications

Simulation Builder, Analysis, and Development (SimBAD) Toolkit for Human Spaceflight Operation Training using the SpaceCRAFT Simulation Platform

Simulation Builder, Analysis, and Development (SimBAD) Toolkit for Human Spaceflight Operation Training using the SpaceCRAFT Simulation Platform

Experimental evaluation of tasking and teaming design patterns for human delegation of unmanned vehicles

Concept of an Adaptive Cockpit to Maintain the Workflow of the Cockpit Crew

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