Autonomous System Technologies for Resilient Airspace Operations

Increasing autonomous systems within the aircraft cockpit begins with an effort to understand what autonomy is and developing the technology that encompasses it. Autonomy allows an agent, human or machine, to act independently within a circumscribed set of goals; delegating responsibility to the agent(s) to achieve overall system objective(s). Increasingly Autonomous Systems (IAS) are the highly sophisticated progression of current automated systems toward full autonomy. Working in concert with humans, these types of technologies are expected to improve the safety, reliability, costs, and operational efficiency of aviation. IAS implementation is imminent, which makes the development and the proper performance of such technologies, with respect to cockpit operation efficiency, the management of air traffic and data communication information, vital. A prototype IAS agent that attempts to optimize the identification and distribution of "relevant" air traffic data to be utilized by human crews during complex airspace operations has been developed

Anthropomorphic Robot Design and User Interaction Associated with Motion

Though in its original concept a robot was conceived to have some human-like shape, most robots now in use have specific industrial purposes and do not closely resemble humans. Nevertheless, robots that resemble human form in some way have continued to be introduced. They are called anthropomorphic robots. The fact that the user interface to all robots is now highly mediated means that the form of the user interface is not necessarily connected to the robots form, human or otherwise. Consequently, the unique way the design of anthropomorphic robots affects their user interaction is through their general appearance and the way they move. These robots human-like appearance acts as a kind of generalized predictor that gives its operators, and those with whom they may directly work, the expectation that they will behave to some extent like a human. This expectation is especially prominent for interactions with social robots, which are built to enhance it. Often interaction with them may be mainly cognitive because they are not necessarily kinematically intricate enough for complex physical interaction. Their body movement, for example, may be limited to simple wheeled locomotion. An anthropomorphic robot with human form, however, can be kinematically complex and designed, for example, to reproduce the details of human limb, torso, and head movement. Because of the mediated nature of robot control, there remains in general no necessary connection between the specific form of user interface and the anthropomorphic form of the robot. But their anthropomorphic kinematics and dynamics imply that the impact of their design shows up in the way the robot moves. The central finding of this report is that the control of this motion is a basic design element through which the anthropomorphic form can affect user interaction. In particular, designers of anthropomorphic robots can take advantage of the inherent human-like movement to 1) improve the users direct manual control over robot limbs and body positions, 2) improve users ability to detect anomalous robot behavior which could signal malfunction, and 3) enable users to be better able to infer the intent of robot movement. These three benefits of anthropomorphic design are inherent implications of the anthropomorphic form but they need to be recognized by designers as part of anthropomorphic design and explicitly enhanced to maximize their beneficial impact. Examples of such enhancements are provided in this report. If implemented, these benefits of anthropomorphic design can help reduce the risk of Inadequate Design of Human and Automation Robotic Integration (HARI) associated with the HARI-01 gap by providing efficient and dexterous operator control over robots and by improving operator ability to detect malfunctions and understand the intention of robot movement

Concept of Operations for Integrated Intelligent Flight Deck Displays and Decision Support Technologies

The document describes a Concept of Operations for Flight Deck Display and Decision Support technologies which may help enable emerging Next Generation Air Transportation System capabilities while also maintaining, or improving upon, flight safety. This concept of operations is used as the driving function within a spiral program of research, development, test, and evaluation for the Integrated Intelligent Flight Deck (IIFD) project. As such, the concept will be updated at each cycle within the spiral to reflect the latest research results and emerging development

Human-centered augmented translation: against antagonistic dualisms

Industry commentators have recently proposed the concept of ‘augmented translation’. Drawing on the notions of ‘antagonistic dualisms’ and ‘human-centered artificial intelligence’ (HCAI), this paper considers various definitions of ‘augmentation’ from an augmented cognition standpoint including definitions focussing on problem-solving, interdisciplinary field theories, and cognition supported by sensing technologies and AI. It is suggested that translation has been an augmented activity for some decades now. However, according to other views of augmented cognition, the level of augmentation is low in comparison to what could theoretically be achieved if the sensing and technological mitigations envisaged for augmented cognition could be realised. Translation technology has not been driven by an empowerment or intelligence amplification (IA) agenda, but by an emulation and artificial intelligence (AI) agenda. The mechanisms, technical and ethical challenges of achieving augmented translation, beyond what is currently in place in translation tools, are tentatively explored. It is, in conclusion, suggested that the HCAI focus on intelligence amplification rather than on replacement of human ability, on a move from emulation to empowerment, is pointing the way forward

Recommendations for Managing Display Complexity with Electronic Chart Information

DTFAWA-10-A-80031 Task 7This study addressed the use of data-driven charts (DDC), which are electronic information charts that are drawn from an onboard chart database onto the forward displays. The DDC management system is intended to display only the electronic chart data that is relevant to the mission on the moving map or navigation display. It could have an important role in the depiction of RNAV RNP procedures to assist the flightcrew in the proper execution of complex NextGen routings. To develop initial recommendations and suggest areas of further research, we investigated how to integrate electronic IFR chart data into an avionics suite. The research can also be used to develop human factors guidelines for evaluating new systems that incorporate and manage electronic IFR chart procedure data in an integrated avionics platform

Human factors approaches to evaluating outpatient parenteral antimicrobial therapy services: a systematic review.

Background: The expansion in terms of available treatment options and models of care has led to a growing global momentum for outpatient antimicrobial therapy (OPAT) services. A systematic review was undertaken to explore Human Factors aspects relating to OPAT service delivery and to evaluate whether OPAT is amenable to description using the Systems Engineering Initiative for Patient Safety (SEIPS 2.0) model. Method: Following a preliminary search, a search string was applied to four databases, including Medline, Cumulative Index of Nursing and Allied Health Literature, International Pharmaceutical Abstracts and PsychINFO. Inclusion criteria ensured only articles published after the year 2000 and written in English were accepted. The methodological quality of studies was assessed by three reviewers. Narrative synthesis was performed to uncover the key interactions between work system entities which underpin OPAT processes and outcomes as described using the SEIPS 2.0 model. Results: A total of twenty-seven studies were deemed eligible for the final review. Of these, most described sample populations representative of the population under study, while duration of the studies varied from a few months to years. Some studies evaluated a single model of care whilst others evaluated all three currently available models. The breadth and scope of the studies included enabled extraction of rich Human Factors data describing barriers and enablers to service provision. Conclusion: OPAT is a service which offers significant benefits to both patients and care providers. These benefits include patient satisfaction and wellbeing, as well as financial performance. OPAT is a complex sociotechnical system, and a systems approach may offer the opportunity to enhance system design, maximising system performance. This review demonstrates that the service can be better understood using the SEIPS 2.0 model to identify key work system interactions that support performance

Designing AI Experiences: Boundary Representations, Collaborative Processes, and Data Tools

Artificial Intelligence (AI) has transformed our everyday interactions with technology through automation, intelligence augmentation, and human-machine partnership. Nevertheless, we regularly encounter undesirable and often frustrating experiences due to AI. A fundamental challenge is that existing software practices for coordinating system and experience designs fall short when creating AI for diverse human needs, i.e., ``human-centered AI'' or HAI. ``AI-first'' development workflows allow engineers to first develop the AI components, and then user experience (UX) designers create end-user experiences around the AI's capabilities. Consequently, engineers encounter end-user blindness when making critical decisions about AI training data needs, implementation logic, behavior, and evaluation. In the conventional ``UX-first'' process, UX designers lack the needed technical understanding of AI capabilities (technological blindness) that limits their ability to shape system design from the ground up. Human-AI design guidelines have been offered to help but neither describe nor prescribe ways to bridge the gaps in needed expertise in creating HAI. In this dissertation, I investigate collaboration approaches between designers and engineers to operationalize the vision for HAI as technology inspired by human intelligence that augments human abilities while addressing societal needs. In a series of studies combining technical HCI research with qualitative studies of AI production in practice, I contribute (1) an approach to software development that blurs rigid design-engineering boundaries, (2) a process model for co-designing AI experiences, and (3) new methods and tools to empower designers by making AI accessible to UX designers. Key findings from interviews with industry practitioners include the need for ``leaky'' abstractions shared between UX and AI designers. Because modular development and separation of concerns fail with HAI design, leaky abstractions afford collaboration across expertise boundaries and support human-centered design solutions through vertical prototyping and constant evaluation. Further, by observing how designers and engineers collaborate on HAI design in an in-lab study, I highlight the role of design `probes' with user data to establish common ground between AI system and UX design specifications, providing a critical tool for shaping HAI design. Finally, I offer two design methods and tool implementations --- Data-Assisted Affinity Diagramming and Model Informed Prototyping --- for incorporating end-user data into HAI design. HAI is necessarily a multidisciplinary endeavor, and human data (in multiple forms) is the backbone of AI systems. My dissertation contributions inform how stakeholders with differing expertise can collaboratively design AI experiences by reducing friction across expertise boundaries and maintaining agency within team roles. The data-driven methods and tools I created provide direct support for software teams to tackle the novel challenges of designing with data. Finally, this dissertation offers guidance for imagining future design tools for human-centered systems that are accessible to diverse stakeholders.PHDInformationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/169917/1/harihars_1.pd

Planning for the Advent of Connected and Autonomous Vehicles in Champaign-Urbana Using Scenario Planning

This project attempts to create a descriptive Scenario Planning framework for addressing the advent of connected and autonomous vehicles (CAVs) in the Champaign-Urbana region. This project aims to provide narratives of and recommendations for four distinctive scenarios that can occur because of internal responses by stakeholders to exogenous forces associated with the adoption and proliferation of CAV technologies in the region in the future. It delivers a starting point for a subject-oriented addition of CAVs to the planning efforts underway to develop the Long-Range Transportation Plan for 2045 by the Champaign County Regional Planning Commission.Champaign County Regional Planning CommissionOpe

Disruptive innovation in the church : lead pastors\u27 qualities that change the world

https://place.asburyseminary.edu/ecommonsatsdissertations/2471/thumbnail.jp