Cycle-Sensitive Error Processing: Neurophysiological Insights for Enhancing Cognitive Performance in Digital Work Environments

Rabea Liebram (), Alina Bockshecker (), Sven Hoffmann (), Roman Liepelt () and Stefan Smolnik ()
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Rabea Liebram: University of Hagen, Department of General Psychology: Judgment, Decision Making, Action
Alina Bockshecker: University of Hagen, Chair of Business Information Systems
Sven Hoffmann: University of Hagen, Department of General Psychology: Judgment, Decision Making, Action
Roman Liepelt: University of Hagen, Department of General Psychology: Judgment, Decision Making, Action
Stefan Smolnik: University of Hagen, Chair of Business Information Systems

A chapter in Information Systems and Neuroscience, 2025, pp 107-118 from Springer

Abstract: Abstract Error processing is a fundamental cognitive function that shapes decision-making, learning, and performance in knowledge workers. While its neural mechanisms are well studied, the influence of hormonal variations—particularly across the menstrual cycle—remains underexplored. This study investigates how fluctuations in estradiol and progesterone affect cognitive markers (error-related potentials) and behavioral markers such as reaction time and error rate. We propose a three-month longitudinal within-subject study with 20 female participants, using electroencephalography (EEG) and a Go/No-Go task to assess cognitive control across menstrual phases. Situated within the NeuroIS domain, this research integrates neuroscientific methods into information systems (IS) design to better understand and support cognitive performance in digital work environments. By combining neurophysiological and hormonal data, the study explores how endogenous fluctuations shape error monitoring and post-error adjustments. Findings are expected to offer insights into cycle-dependent cognitive variability, informing task management and adaptive, user-centered IS that promote personalized workplace strategies.

Keywords: Error processing; Menstrual cycle; Event-Related Potentials (ERPs); Cognitive performance; Digital workplace; Electroencephalography (EEG); NeuroIS (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-032-00815-2_10

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