@incollection{Roth2022Handbook,
title         = {The Augmented Workforce: A Systematic Review of Operator Assistance Systems},
author      = {Elisa Roth AND Mirco Moencks AND Thomas Bohn\'e},
year         = 2022,
booktitle   = {Handbook of Human-Machine Systems},
publisher  = {Wiley-Blackwell},
series       = {IEEE Press Series on Human-Machine Systems},
volume     = 1,
pages      = {1--18},
doi           = {00000},
url           = {Empty},
editor       = {Giancarlo Fortino AND David Kaber AND Andreas N\"urnberger AND  David Mendonca},
chapter    = 23,
abstract = {Advances in manufacturing technologies, shorter product lifecycles, and high product variabilities impose increasing demands on manufacturing workers. Yet, the current workforce often lacks the skills to deal with emerging complexities. This gives rise to an important question: How can human-machine systems augment the set of employees’ skills? Operator Assistance Systems (OAS) could be a potential solution: Technological capabilities promise to bridge the gap between increasing operational demands and worker’s capabilities. However, current research on OAS is highly fragmented and sometimes redundant. Therefore, this work aims to sharpen the picture around OAS by contributing a systematic review. We reviewed 201 papers to depict the field's most relevant aspects and highlight promising opportunities for future research. In doing so, a meta-analysis systemizes research disciplines, contributions, application areas, and empirical parameters. The review elaborates on 9 key capabilities of OAS: 5 assistance capabilities (task guidance, knowledge management, monitoring, communication, decision making), and 4 meta capabilities (configuration flexibility, interoperability, content authoring, initiation). We further systemize the state-of-the-art in hardware, and interfaces identified within use cases. The chapter concludes by providing an overview of future research challenges.}
}