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

Author

Listed:
  • 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))

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.

Suggested Citation

  • Chiara Krisam & Julia Seitz & Michael T. Knierim & Alexander Maedche, 2025. "A Cognitive Load-Adaptive Microbreak Intervention in Video Meeting Systems: First Results from a DSR Project," Lecture Notes in Information Systems and Organization,, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-71385-9_28
    DOI: 10.1007/978-3-031-71385-9_28
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