Interdependent Human-Machine Teams

Interdependent Human-Machine Teams PDF Author: William Lawless
Publisher: Elsevier
ISBN: 0443292477
Category : Computers
Languages : en
Pages : 450

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Book Description
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

Interdependent Human-Machine Teams

Interdependent Human-Machine Teams PDF Author: William Lawless
Publisher: Elsevier
ISBN: 0443292477
Category : Computers
Languages : en
Pages : 450

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Book Description
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

Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S)

Interdisciplinary Approaches to the Structure and Performance of Interdependent Autonomous Human Machine Teams and Systems (A-HMT-S) PDF Author: William Frere Lawless
Publisher: Frontiers Media SA
ISBN: 283251930X
Category : Science
Languages : en
Pages : 220

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Book Description


Human Factors in Robots, Drones and Unmanned Systems

Human Factors in Robots, Drones and Unmanned Systems PDF Author: Alexandra Medina-Borja
Publisher: AHFE Conference
ISBN: 1964867142
Category : Technology & Engineering
Languages : en
Pages : 144

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Book Description
Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.

Advances in Human Factors in Robots, Drones and Unmanned Systems

Advances in Human Factors in Robots, Drones and Unmanned Systems PDF Author: Matteo Zallio
Publisher: Springer Nature
ISBN: 3030517586
Category : Technology & Engineering
Languages : en
Pages : 130

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Book Description
This book focuses on the importance of human factors in the development of safe and reliable robotic and unmanned systems. It discusses current challenges, such as how to improve the perceptual and cognitive abilities of robots, develop suitable synthetic vision systems, cope with degraded reliability in unmanned systems, and predict robotic behavior in relation to human activities. Further, it highlights potential future human-robot and human-agent collaboration, suggesting real-world implications of and approaches for improving human-machine interaction across unmanned systems. Based on the AHFE 2020 Virtual Conference on Human Factors in Robots, Drones and Unmanned Systems, held on July 16–20, 2020, this book is intended to foster discussion and collaborations among researchers and practitioners, thus stimulating new solutions for the development of reliable and safe, human-centered, highly functional devices to perform automated and concurrent tasks.

Advances in Simulation and Digital Human Modeling

Advances in Simulation and Digital Human Modeling PDF Author: Julia L. Wright
Publisher: Springer Nature
ISBN: 3030797635
Category : Technology & Engineering
Languages : en
Pages : 399

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Book Description
This book provides readers with a timely snapshot of modeling and simulation tools, including virtual and mixed-reality environment, for human factors research. It covers applications in healthcare and physical ergonomics, military and transportation systems, industrial monitoring, as well as economics and social sciences. Based on the AHFE 2021 International Conference on Human Factors and Simulation and the AHFE 2021 International Conference on Digital Human Modeling and Applied Optimization, held virtually on 25–29 July, 2021, from USA, the book offers a unique resource for modelling and simulation researchers seeking insights into human factors research and to human factors experts seeking reliable computational tools.

Advances in Human Factors in Robots and Unmanned Systems

Advances in Human Factors in Robots and Unmanned Systems PDF Author: Jessie Chen
Publisher: Springer
ISBN: 3030204677
Category : Technology & Engineering
Languages : en
Pages : 250

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Book Description
This book focuses on the importance of human factors in the development of safe and reliable unmanned systems. It discusses current challenges such as how to improve the perceptual and cognitive abilities of robots, develop suitable synthetic vision systems, cope with degraded reliability in unmanned systems, predict robotic behavior in case of a loss of communication, the vision for future soldier–robot teams, human–agent teaming, real-world implications for human–robot interaction, and approaches to standardize both the display and control of technologies across unmanned systems. Based on the AHFE 2019 International Conference on Human Factors in Robots and Unmanned Systems, held on July 24–28, 2019, Washington D.C., USA, this book fosters new discussions and stimulates new advances in the development of more reliable, safer, and highly functional devices for carrying out automated and concurrent tasks.

Decision Economics: Complexity of Decisions and Decisions for Complexity

Decision Economics: Complexity of Decisions and Decisions for Complexity PDF Author: Edgardo Bucciarelli
Publisher: Springer Nature
ISBN: 3030382273
Category : Technology & Engineering
Languages : en
Pages : 334

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Book Description
This book is based on the International Conference on Decision Economics (DECON 2019). Highlighting the fact that important decision-making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, psychology, small and international business, management, operations, and production, the book focuses on analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment. DECON 2019 was organised by the University of Chieti-Pescara (Italy), the National Chengchi University of Taipei (Taiwan), and the University of Salamanca (Spain), and was held at the Escuela politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man and Cybernetics Society, Spain Section Chapter, and IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta de Castilla y León, Spain (ID: SA267P18-Project co-financed with FEDER funds)

Human Factors in Robots, Drones and Unmanned Systems

Human Factors in Robots, Drones and Unmanned Systems PDF Author: Tareq Ahram and Waldemar Karwowski
Publisher: AHFE International
ISBN: 1958651699
Category : Technology & Engineering
Languages : en
Pages : 227

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Book Description
Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023), July 20–24, 2023, San Francisco, USA

Handbook of Distributed Team Cognition

Handbook of Distributed Team Cognition PDF Author: Michael McNeese
Publisher: CRC Press
ISBN: 0429862024
Category : Computers
Languages : en
Pages : 771

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Book Description
Contemporary society is held together by interactive groups and teams carrying out work to accomplish various intentions and purposes often within challenging and ill-defined environments. Cooperative work is accomplished through the synergy of human teamwork and technological innovation within domains such as health and medicine; cyber security; transportation; command, control, communication, and intelligence; aviation; manufacturing; criminal justice; space exploration; and emergency crisis management. Distributed team cognition is ubiquitous across and within each of these domains in myriad ways. The Handbook of Distributed Team Cognition provides three volumes that delve into the intricacies of research findings in terms of how cognition is embodied within specific environments while being distributed across time, space, information, people, and technologies. Distributed team cognition is examined from broad, interdisciplinary perspectives and developed using different themes and worldviews. Foundations and Theoretical Perspectives of Distributed Teams Cognition provides an informed view of the history and foundations underlying the development of the field while looking at the theoretical significance of research. Contemporary Research: Models, Methodologies, and Measures in Distributed Team Cognition strengthens these foundations and theories by looking at how research has evolved through the use of different experiments, methods, measures, and models. Fields of Practice and Applied Solutions within Distributed Teams Cognition considers the importance of technological support of teamwork and what it means for applied systems and specific fields of practice. Together these three volumes entwine a comprehensive knowledge of distributed team cognition that is invaluable for professors, scientists, engineers, designers, specialists, and students alike who need specific information regarding history, cognitive science, experimental studies, research approaches, measures and analytics, digital collaborative technologies and intelligent agents, and real world applications; all of which have led to a dynamic revolution in cooperative work / teamwork in both theory and practice.

Artificial Intelligence, Learning and Computation in Economics and Finance

Artificial Intelligence, Learning and Computation in Economics and Finance PDF Author: Ragupathy Venkatachalam
Publisher: Springer Nature
ISBN: 3031152948
Category : Science
Languages : en
Pages : 331

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Book Description
This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded. Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools. The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.