A Cognitive Load-Adaptive Microbreak Intervention in Video Meeting Systems: First Results from a DSR Project

Chiara Krisam (), Julia Seitz (), Michael T. Knierim () and Alexander Maedche ()
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Chiara Krisam: Karlsruhe Institute of Technology (KIT)
Julia Seitz: Karlsruhe Institute of Technology (KIT)
Michael T. Knierim: Karlsruhe Institute of Technology (KIT)
Alexander Maedche: Karlsruhe Institute of Technology (KIT)

A chapter in Information Systems and Neuroscience, 2025, pp 327-335 from Springer

Abstract: Abstract This study addresses the challenges of cognitive overload in video meetings by proposing a cognitive load-adaptive microbreak intervention based on non-invasive recording of biosignals. Through the systematic exploration of the problem space, we derive meta-requirements from literature and semi-structured interviews, laying the foundation for the solution design. We propose a system architecture for a neuro-adaptive video meeting system that automatically suggests microbreaks during video meetings when a predetermined number of participants exhibit elevated cognitive load using EEG. To ensure flexibility and alignment with the ongoing video meeting, we suggest granting meeting participants the option to postpone breaks. The study represents the groundwork for an ongoing design science research project designing cognitive load-adaptive microbreak interventions to improve virtual team meeting performance.

Keywords: Cognitive load; Video meetings; Neuro-adaptive systems; DSR (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-71385-9_28

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