Design Methods for Human–Machine Teams
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 8298
Special Issue Editors
Interests: human factors; human performance modeling; human workload
Special Issues, Collections and Topics in MDPI journals
Interests: human factors; modeling the human element; human systems integration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The explosion of automation, artificial intelligence, and autonomous systems is transforming interaction and work across a wide range of applications, including manufacturing, defense, transportation, healthcare, and finance. The design of human–machine teams that include humans and machines with embedded algorithms has the potential to combine the relative advantages, while compensating for the disadvantages of each. However, teams are much more than a sum or their individual parts, and to be effective, these entities must be designed to support effective communication, collaboration, and trust. Deliberate systems engineering methods and tools for designing and evaluating these systems, as well as appropriate system architectures, are required to support these vital teaming characteristics. You are cordially invited to contribute to this Special Issue to expand the shared understanding and advances in the use of systems engineering to support the design of human–machine teams. We welcome both original research and review articles.
Dr. Christina Rusnock
Dr. Michael E. Miller
Guest Editors
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