SmartOperator: An Open Experimental Simulation Software for NeuroIS Operations Management Systems Research

Elias Mueller (), Fabian Wuest (), Benedikt Schmidt () and Alexander Maedche ()
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Elias Mueller: Karlsruhe Institute of Technology (KIT), Institute for Information Systems (WIN)
Fabian Wuest: Karlsruhe Institute of Technology (KIT), Institute for Information Systems (WIN)
Benedikt Schmidt: ABB AG
Alexander Maedche: Karlsruhe Institute of Technology (KIT), Institute for Information Systems (WIN)

A chapter in Information Systems and Neuroscience, 2025, pp 225-232 from Springer

Abstract: Abstract Human operators in plant operations play a critical role in ensuring smooth and safe operations processes. As AI continues to become more prevalent in operations management, it will impact the work of operators towards remote operations of highly automated systems. In such a setting, the affective and cognitive states of operators play an even more important role for performance and well-being. We argue that there is a need for research into the design of neuro-adaptive operations management systems. Therefore, in tight cooperation with an industry partner, we have developed the open experimental simulation software SmartOperator. SmartOperator is a web-based, multi-power plant simulation software that represents the tasks of an operator in an understandable way for non-operators. Furthermore, it offers the possibility to integrate neurophysiological and behavioral data of its users and trigger real-time adaptations on this basis to study their impact in a controlled experimental environment. By doing so, SmartOperator paves the way for research toward designing neuro-adaptive operations management systems and follows the Open Science paradigm to strengthen transparent, comparable, and reproducible research for NeuroIS operations management systems.

Keywords: Experimental simulation software; Neuro-adaptive systems; NeuroIS tool; Operations management; Design science research (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-00815-2_21

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DOI: 10.1007/978-3-032-00815-2_21

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