Big Data Cogn. Comput., Volume 4, Issue 4 (December 2020) – 17 articles
Cover Story (view full-size image): Recent advancements in AI and human–machine interaction have paved the way for team collaboration of humans and machines, e.g., in industrial disassembly processes. Nonetheless, systematic and interdisciplinary approaches toward engineering systems that comprise human–machine teams are still rare. In this work, we review and analyze the state of the art and derive and discuss core requirements and concepts through an illustrating scenario. We then focus on how reciprocal trust between humans and intelligent machines is defined, built, measured, and maintained from a system engineering and planning perspective. We then outline three important areas of future research on engineering and operating human–machine teams for trusted collaboration. For each area, we describe exemplary research opportunities. View this paper
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