Methodological Framework for Integrated Analysis of Biometric Data and Behavioral Data in the Study of Cognitive Workload in a Digital Work Environment
Methodological Framework for Integrated Analysis of Biometric Data and Behavioral Data in the Study of Cognitive Workload in a Digital Work Environment

Author(s): Katya Antonova, Agnieszka Budziewicz-Guźlecka
Subject(s): Social Sciences, Economy, Education, Psychology, Business Economy / Management, Cognitive Psychology, Organizational Psychology, ICT Information and Communications Technologies, Distance learning / e-learning
Published by: Университет за национално и световно стопанство (УНСС)
Keywords: cognitive load; multimodal data; EEG; behavioral biometrics; human computer interaction; digital work environment
Summary/Abstract: Cognitive processes and workload of employees is becoming key to optimizing work efficiency and well-being. The present study offers a methodological framework for an integrated analysis of cognitive load by combining physiological, behavioral and psychometric indicators. It covers the collection, synchronization and analysis of multimodal data, including electroencephalographic signals (EEG), eye tracking, behavioral metrics from interface interaction, as well as psychometric tools for assessing self-regulation and behavior control. The proposed research approach allows for a deeper understanding of the interaction between cognitive processes and human behavior in digital environments in a digital environment. This article offers only a conceptual methodological framework without empirical analysis and results, which will be the subject of further development.

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