Interdisciplinary Approaches To The Structure And Performance Of Interdependent Autonomous Human Machine Teams And Systems A Hmt S
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Interdisciplinary Approaches To The Structure And Performance Of Interdependent Autonomous Human Machine Teams And Systems A Hmt S
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Author : William Frere Lawless
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-30
Interdisciplinary Approaches To The Structure And Performance Of Interdependent Autonomous Human Machine Teams And Systems A Hmt S written by William Frere Lawless and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-30 with Science categories.
Human Factors In Robots Drones And Unmanned Systems
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Author : Alexandra Medina-Borja
language : en
Publisher: AHFE Conference
Release Date : 2024-07-24
Human Factors In Robots Drones And Unmanned Systems written by Alexandra Medina-Borja and has been published by AHFE Conference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Technology & Engineering categories.
Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.
Interdependent Human Machine Teams
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Author : William Lawless
language : en
Publisher: Elsevier
Release Date : 2024-12-05
Interdependent Human Machine Teams written by William Lawless and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Computers categories.
Interdependent Human-Machine Teams: The Path to Autonomy examines the foundations, metrics, and applications of human-machine systems, the legal ramifications of autonomy, trust by the public, and trust by the users and AI systems of their users, integrating concepts from various disciplines such as AI, machine learning, social sciences, quantum mechanics, and systems engineering. In this book, world-class researchers, engineers, ethicists, and social scientists discuss what machines, humans, and systems should discuss with each other, to policymakers, and to the public.It establishes the meaning and operation of "shared contexts" between humans and machines, policy makers, and the public and explores how human-machine systems affect targeted audiences (researchers, machines, robots, users, regulators, etc.) and society, as well as future ecosystems composed of humans, machines, and systems. - Investigates how interdependence is the missing ingredient necessary to produce operational autonomous systems - Integrates concepts from a wide range of disciplines, including applied and theoretical AI, quantum mechanics, social sciences, and systems engineering - Presents debates, models, and concepts of mutual dependency for autonomous human-machine teams, challenging assumptions across AI, systems engineering, data science, and quantum mechanics
Putting Ai In The Critical Loop
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Author : Prithviraj Dasgupta
language : en
Publisher: Elsevier
Release Date : 2024-02-20
Putting Ai In The Critical Loop written by Prithviraj Dasgupta and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Computers categories.
Providing a high level of autonomy for a human-machine team requires assumptions that address behavior and mutual trust. The performance of a human-machine team is maximized when the partnership provides mutual benefits that satisfy design rationales, balance of control, and the nature of autonomy. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other's weaknesses through cooperation, synergy, and interdependence which forms a "collective intelligence. Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans.Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams focuses on human-machine trust and "assured performance and operation in order to realize the potential of autonomy. This book aims to take on the primary challenges of bidirectional trust and performance of autonomous systems, providing readers with a review of the latest literature, the science of autonomy, and a clear path towards the autonomy of human-machine teams and systems. Throughout this book, the intersecting themes of collective intelligence, bidirectional trust, and continual assurance form the challenging and extraordinarily interesting themes which will help lay the groundwork for the audience to not only bridge the knowledge gaps, but also to advance this science to develop better solutions. - Assesses the latest research advances, engineering challenges, and the theoretical gaps surrounding the question of autonomy - Reviews the challenges of autonomy (e.g., trust, ethics, legalities, etc.), including gaps in the knowledge of the science - Offers a path forward to solutions - Investigates the value of trust by humans of HMTs, as well as the bidirectionality of trust, understanding how machines learn to trust their human teammates
Human Machine Shared Contexts
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Author : William Lawless
language : en
Publisher: Academic Press
Release Date : 2020-06-10
Human Machine Shared Contexts written by William Lawless and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-10 with Computers categories.
Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of "shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. - Discusses the foundations, metrics, and applications of human-machine systems - Considers advances and challenges in the performance of autonomous machines and teams of humans - Debates theoretical human-machine ecosystem models and what happens when machines malfunction
Human Performance In Automated And Autonomous Systems
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Author : Mustapha Mouloua
language : en
Publisher: CRC Press
Release Date : 2019-09-19
Human Performance In Automated And Autonomous Systems written by Mustapha Mouloua and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-19 with Computers categories.
This book examines recent advances in theories, models, and methods relevant to automated and autonomous systems. The following chapters provide perspectives on modern autonomous systems, such as self-driving cars and unmanned aerial systems, directly from the professionals working with and studying them. Current theories surrounding topics such as vigilance, trust, and fatigue are examined throughout as predictors of human performance in the operation of automated systems. The challenges related to attention and effort in autonomous vehicles described within give credence to still-developing methods of training and selecting operators of such unmanned systems. The book further recognizes the need for human-centered approaches to design; a carefully crafted automated technology that places the "human user" in the center of that design process. Features Combines scientific theories with real-world applications where automated technologies are implemented Disseminates new understanding as to how automation is now transitioning to autonomy Highlights the role of individual and team characteristics in the piloting of unmanned systems and how models of human performance are applied in system design Discusses methods for selecting and training individuals to succeed in an age of increasingly complex human-machine systems Provides explicit benchmark comparisons of progress across the last few decades, and identifies future prognostications and the constraints that impinge upon these lines of progress Human Performance in Automated and Autonomous Systems: Current Theory and Methods illustrates the modern scientific theories and methods to be applied in real-world automated technologies.
Human Performance In Automated And Autonomous Systems
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Author : Mustapha Mouloua
language : en
Publisher: CRC Press
Release Date : 2019-09-19
Human Performance In Automated And Autonomous Systems written by Mustapha Mouloua and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-19 with Technology & Engineering categories.
This book is devoted to the examination of emerging practical issues related to automated and autonomous systems. The book highlights the significance of these emergent technologies that determine the course of our daily lives. Each unique chapter highlights human factors and engineering concerns across real-world applications, including matters related to aviation and healthcare, human-robot interaction, transportation systems, cybersecurity and cyber defense. This book also depicts the boundaries that separate humans from machine as we continue to become ever more immersed in and symbiotic with these fast-emerging technologies. Automation, across many occupations, has transitioned the human to a role of monitoring machines, presenting challenges related to vigilance and workload. This book identifies the importance of an approach to automated technology that emphasizes the "human user" at the center of the design process. Features Provides perspectives on the role of the individual and teams in complex technical systems such as aviation, healthcare, and medicine Presents the development of highly autonomous systems related to human safety and performance Examines solutions to human factors challenges presented by modern threats to data privacy and cybersecurity Discusses human perceptual and cognitive capabilities underwriting to the design of automated and autonomous systems • Provides in-depth, expert reviews of context-related developments in automation and human-robot teaming Human Performance in Automated and Autonomous Systems: Emerging Issues and Practical Perspectives applies scientific theory directly to real-world systems where automation and autonomous technology is implemented.
Effects Of Automation Predictability And Understandability On Trust In Human Machine Teaming
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Author : Jeremy Friedman
language : en
Publisher:
Release Date : 2018
Effects Of Automation Predictability And Understandability On Trust In Human Machine Teaming written by Jeremy Friedman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
In Human Machine Teaming (HMT) systems the automation must serve as an autonomous teammate with the ability to learn and improve. While future learning capabilities will be designed to improve the performance of the machine, they will also cause the machine's behaviors to change over time in ways that may be unpredictable or hard to understand to a human. These changes may, in turn, negatively impact the human partner's ability to develop and maintain trust with the machine, even if the changes result in an overall improvement in the automation's functioning. This experiment was designed to examine how a machine's predictability and understandability affect trust in the automation. It made use of a simulated search and rescue environment in which a human operator was instructed to team with a simulated Unmanned Aerial System (UAS) to survey a group of damaged buildings for viable entry points. There were two independent variables, the UAS automation's predictability, and the UAS automation's understandability. Predictability reflects how predictable the success/failures of the automation were in accomplishing the goal of correctly identifying entry points. Understandability reflects how easily the operator could understand the automation's methods. The operator could choose to trust the automation to find all the potential entry points on its own or check buildings manually to directly verify the automation's entry point suggestions. The operator was also responsible for answering a constant stream of unrelated questions as a secondary task. Trust was measured both before and after the experiment using subjective ratings. The results showed that decreasing UAS predictability had a significant negative impact on participants' trust in the system. The results also showed that participants were more informed by assumptions about the automation (automation bias) then by the UAS's actual understandability. Regardless of what flight path was observed, participants tended to believe that the UAS was working as expected or intended.
Human Factors In Robots Drones And Unmanned Systems
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Author : Tareq Ahram and Waldemar Karwowski
language : en
Publisher: AHFE International
Release Date : 2023-07-19
Human Factors In Robots Drones And Unmanned Systems written by Tareq Ahram and Waldemar Karwowski and has been published by AHFE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-19 with Technology & Engineering categories.
Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023), July 20–24, 2023, San Francisco, USA
Automation Challenges Of Socio Technical Systems
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Author : Frederic Vanderhaegen
language : en
Publisher: John Wiley & Sons
Release Date : 2019-07-10
Automation Challenges Of Socio Technical Systems written by Frederic Vanderhaegen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-10 with Technology & Engineering categories.
The challenges of automating socio-technical systems are strongly linked to the strengths and limitations of technical and human resources, such as perceptual characteristics, cooperative capacities, job-sharing arrangements, modeling of human behavior and the contribution of innovative design approaches. Automation Challenges of Socio-technical Systems exposes the difficulties in implementing and sustaining symbiosis between humans and machines in both the short and long terms. Furthermore, it presents innovative solutions for achieving such symbiosis, drawing on skills from cognitive sciences, engineering sciences and the social sciences. It is aimed at researchers, academics and engineers in these fields.