Advancements in Human-Agent Teaming Research Infrastructure: Testbeds, Metrics, and Concepts
暫譯: 人類－代理人團隊協作研究基礎設施的進展：測試平台、評估指標與概念
Chiou, Erin K., Wong, Jason H., Lange, Douglas S.
- 出版商: CRC
- 出版日期: 2026-10-23
- 售價: $4,780
- 貴賓價: 9.5 折 $4,541
- 語言: 英文
- 頁數: 292
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041096291
- ISBN-13: 9781041096290
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相關分類:
Machine Learning
尚未上市，無法訂購
相關主題
商品描述
As modern military operations become more complex, the need for rapid, coordinated decision-making across multiple domains--air, land, maritime, space, and cyberspace--has never been greater. The U.S. Department of War has identified artificial intelligence (AI) as a critical tool in overcoming these challenges, enabling faster and more efficient responses in high-stakes environments. However, for AI to be effective, it must function well within human teams and organizational structures. This book explores the evolving role of AI in military and defense operations, with a focus on how human-AI teams can be optimized for success.
This title offers a practical guide to the next generation of human-AI teaming. Built on the findings of a major research initiative led by the National Academies Board on Human-Systems Integration, this book compiles key insights into the infrastructure, metrics, and conceptual frameworks essential for advancing human-AI collaboration. Readers will gain an understanding of the latest testbed research, validated performance metrics, and novel but critical concepts for evaluating human-AI teams. This book provides a foundation for improving decision-making and coordination in complex operational settings.
Advancements in Human Agent Teaming Research Infrastructure: Testbeds, Metrics, and Concepts is an essential resource for researchers, engineers, and policymakers working in AI development, human factors, and defense strategy. It will also benefit military professionals and industry leaders seeking to understand how AI can enhance operational effectiveness while maintaining human oversight and trust.
商品描述(中文翻譯)
隨著現代軍事行動日益複雜，在空中、陸地、海上、太空與網路空間等多重領域之間，進行快速且協調一致的決策，其重要性前所未有。美國戰爭部已將人工智慧（AI）視為克服這些挑戰的關鍵工具，使高風險環境中的回應更快速、更有效率。然而，AI 若要發揮效用，就必須能夠在人類團隊與組織架構中順利運作。本書探討 AI 在軍事與國防行動中不斷演變的角色，並著重說明如何最佳化人機團隊，以實現成功。
本書提供下一代人機協作的實務指南。本書建立在由 National Academies Board on Human-Systems Integration 主導的大型研究計畫成果之上，彙整了推進人機協作所不可或缺的基礎架構、衡量指標與概念框架等重要洞見。讀者將了解最新的測試平台（testbed）研究、經驗證的效能衡量指標，以及用於評估人機團隊的新穎且關鍵的概念。本書為改善複雜作戰環境中的決策與協調提供了基礎。
《Advancements in Human Agent Teaming Research Infrastructure: Testbeds, Metrics, and Concepts》是從事 AI 開發、人因工程與國防策略的研究人員、工程師及政策制定者不可或缺的參考資源。本書也適合希望了解 AI 如何在維持人類監督與信任的同時，提升作戰效能的軍事專業人員與業界領導者。
作者簡介
Dr. Erin K. Chiou is an Associate Professor of Human Systems Engineering at Arizona State University, USA, with a Ph.D. in Industrial and Systems Engineering from the University of Wisconsin Madison, USA. Her research leverages social and psychological science to improve human-automation work system design. Recent projects have focused on AI-enabled decision support systems with applications in complex and safety critical settings. She directs the Automation Design Advancing People and Technology Laboratory.
Dr. Jason H. Wong is a Senior Cognitive Scientist with a Ph.D. in Human Factors and Applied Cognitive Psychology from George Mason University, USA. His work leverages cognitive science to optimize how people use emerging technologies. Currently focused on human-AI teaming in defense, his expertise also includes human-centered design for augmented reality and aligning training systems with human performance and learning principles.
Dr. Douglas S. Lange is a Senior Scientist in Machine Learning and Artificial Intelligence with a Ph.D. in Computer Software Engineering from the Naval Postgraduate School, USA. He has extensive experience in research, development, and technology insertion for current and future command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) systems.
Dr. Julie Marble directs research in Human-Autonomy Teaming at the Applied Research Laboratory for Intelligence & Security with a Ph.D. in Human Factors and Cognitive Psychology from Purdue University, USA. She has more than 25 years of experience in human-machine teaming, human-robot interaction, and human reliability analysis, and is a member of the Board on Human-System Integration at the National Academies of Science, Engineering, and Medicine.
作者簡介(中文翻譯)
Dr. Erin K. Chiou 是美國 Arizona State University 人類系統工程（Human Systems Engineering）副教授，並持有美國 University of Wisconsin Madison 工業與系統工程（Industrial and Systems Engineering）博士學位。她的研究運用社會科學與心理科學，改善人類—自動化工作系統（human-automation work system）的設計。近期研究計畫著重於支援複雜且攸關安全之情境的 AI 決策支援系統。她主持 Automation Design Advancing People and Technology Laboratory。
Dr. Jason H. Wong 是資深認知科學家，並持有美國 George Mason University 人因工程與應用認知心理學（Human Factors and Applied Cognitive Psychology）博士學位。他的研究運用認知科學，最佳化人們使用新興技術的方式。目前他的研究重點是國防領域中的人類—AI 協作（human-AI teaming）；此外，他也專精於擴增實境的人本設計，以及根據人類表現與學習原則，使訓練系統達到一致與協調。
Dr. Douglas S. Lange 是機器學習與人工智慧領域的資深科學家，並持有美國 Naval Postgraduate School 電腦軟體工程（Computer Software Engineering）博士學位。他在現今與未來的指揮、控制、通信、電腦、情報、監視與偵察（command, control, communications, computers, intelligence, surveillance, and reconnaissance，C4ISR）系統之研究、開發與技術導入方面，擁有豐富經驗。
Dr. Julie Marble 在 Intelligence & Security 應用研究實驗室（Applied Research Laboratory for Intelligence & Security）主持人類—自主系統協作（Human-Autonomy Teaming）研究，並持有美國 Purdue University 人因工程與認知心理學（Human Factors and Cognitive Psychology）博士學位。她在人機協作、人機互動，以及人類可靠度分析方面擁有超過 25 年經驗，並擔任 National Academies of Science, Engineering, and Medicine 人類—系統整合委員會（Board on Human-System Integration）委員。
