TY  - CHAP
A1  - Baier, Ralph
A1  - Brauner, Philipp
A1  - Brillowski, Florian
A1  - Dammers, Hannah
A1  - Liehner, Luca
A1  - Pütz, Sebastian
A1  - Schneider, Sebastian
A1  - Schollemann, Alexander
A1  - Steuer-Dankert, Linda
A1  - Vervier, Luisa
A1  - Gries, Thomas
A1  - Leicht-Scholten, Carmen
A1  - Mertens, Alexander
A1  - Nagel, Saskia K.
A1  - Schuh, Günther
A1  - Ziefle, Martina
A1  - Nitsch, Verena
ED  - Brecher, Christian
ED  - Schuh, Günther
ED  - van der Alst, Wil
ED  - Jarke, Matthias
ED  - Piller, Frank T.
ED  - Padberg, Melanie
T1  - Human-centered work design for the internet of production
T2  - Internet of production - fundamentals, applications and proceedings
N2  - Like all preceding transformations of the manufacturing industry, the large-scale usage of production data will reshape the role of humans within the sociotechnical production ecosystem. To ensure that this transformation creates work systems in which employees are empowered, productive, healthy, and motivated, the transformation must be guided by principles of and research on human-centered work design. Specifically, measures must be taken at all levels of work design, ranging from (1) the work tasks to (2) the working conditions to (3) the organizational level and (4) the supra-organizational level. We present selected research across all four levels that showcase the opportunities and requirements that surface when striving for human-centered work design for the Internet of Production (IoP). (1) On the work task level, we illustrate the user-centered design of human-robot collaboration (HRC) and process planning in the composite industry as well as user-centered design factors for cognitive assistance systems. (2) On the working conditions level, we present a newly developed framework for the classification of HRC workplaces. (3) Moving to the organizational level, we show how corporate data can be used to facilitate best practice sharing in production networks, and we discuss the implications of the IoP for new leadership models. Finally, (4) on the supra-organizational level, we examine overarching ethical dimensions, investigating, e.g., how the new work contexts affect our understanding of responsibility and normative values such as autonomy and privacy. Overall, these interdisciplinary research perspectives highlight the importance and necessary scope of considering the human factor in the IoP.
KW  - Responsibility
KW  - Privacy
KW  - Digital leadership
KW  - Best practice sharing
KW  - Cognitive assistance system
KW  - Human-robot collaboration
KW  - Human-centered work design
Y1  - 2023
SN  - 978-3-030-98062-7
U6  - http://dx.doi.org/10.1007/978-3-030-98062-7_19-1
N1  - Part of the book series: Interdisciplinary Excellence Accelerator Series (IDEAS)
SP  - 1
EP  - 23
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Pütz, Sebastian
A1  - Baier, Ralph
A1  - Brauner, Philipp
A1  - Brillowski, Florian
A1  - Dammers, Hannah
A1  - Liehner, Luca
A1  - Mertens, Alexander
A1  - Rodemann, Niklas
A1  - Schneider, Sebastian
A1  - Schollemann, Alexander
A1  - Steuer-Dankert, Linda
A1  - Vervier, Luisa
A1  - Gries, Thomas
A1  - Leicht-Scholten, Carmen
A1  - Nagel, Saskia K.
A1  - Piller, Frank T.
A1  - Schuh, Günther
A1  - Ziefle, Martina
A1  - Nitsch, Verena
T1  - An interdisciplinary view on humane interfaces for digital shadows in the internet of production
T2  - 2022 15th International Conference on Human System Interaction (HSI)
N2  - Digital shadows play a central role for the next generation industrial internet, also known as Internet of Production (IoP). However, prior research has not considered systematically how human actors interact with digital shadows, shaping their potential for success. To address this research gap, we assembled an interdisciplinary team of authors from diverse areas of human-centered research to propose and discuss design and research recommendations for the implementation of industrial user interfaces for digital shadows, as they are currently conceptualized for the IoP. Based on the four use cases of decision support systems, knowledge sharing in global production networks, human-robot collaboration, and monitoring employee workload, we derive recommendations for interface design and enhancing workers’ capabilities. This analysis is extended by introducing requirements from the higher-level perspectives of governance and organization.
KW  - digital twin
KW  - digital shadow
KW  - cyber-physical production system
KW  - human-machine interface
Y1  - 2022
SN  - 978-1-6654-6823-7 (Print)
SN  - 978-1-6654-6822-0 (Online)
U6  - http://dx.doi.org/10.1109/HSI55341.2022.9869467
SN  - 2158-2246 (Print)
SN  - 2158-2254 (Online)
N1  - 15th International Conference on Human System Interaction (HSI), 28-31 July 2022, Melbourne, Australia.
PB  - IEEE
ER  -