Interdependent Human-Machine Teams

Interdependent Human-Machine Teams by William Lawless, Ranjeev Mittu, Donald Sofge, and Hesham Fouad invites readers into the next frontier of collaboration between people and intelligent systems. Whether you’re an engineer, manager, researcher, or policy maker, this book delivers practical insight and strategic frameworks for building resilient, trustworthy human-machine teams.

Start with a clear view of why human-AI and human-robot collaboration matters today: rising autonomy, complex decision environments, and the need for reliable teamwork across defense, healthcare, transportation, and industry. The authors blend cutting-edge research with real-world scenarios to explain how to design interfaces, allocate tasks, and cultivate trust so teams perform effectively under stress.

Readers will find actionable approaches to human factors, trust calibration, shared situational awareness, and adaptive autonomy—plus design principles that improve safety, efficiency, and mission success. Compact case studies and evidence-based recommendations make complex concepts accessible to practitioners across North America, Europe, Asia, and beyond.

If you want to lead in human-machine integration or strengthen your organization’s approach to autonomy and collaboration, this title is an essential resource. It empowers technical leaders and decision-makers with the tools to create interdependent teams that are robust, ethical, and scalable.

Clear, authoritative, and forward-looking, Interdependent Human-Machine Teams is a must-read for anyone shaping the future of human-machine systems. Order your copy today to start designing smarter, safer, and more effective teams for a global, automated world.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.