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March 25, 2026Procedia Computer ScienceOpen Access

Evaluating Cognitive Workload in Industrial Tasks via Immersive VR and Human Digital Twin Frameworks: Development of Application and Design of Experiment

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Authors

VGVito De GiglioAEAlessandro EvangelistaAUAntonio Emmanuele Uva

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Overview

Research evaluates cognitive workload in industrial tasks using immersive VR and human digital twin frameworks, implying enhanced operator well-being and productivity optimization.

Key Points

  • The aim is to evaluate cognitive workload in industrial tasks using immersive VR and Human Digital Twin technologies.
  • Developed a custom immersive virtual reality application for cognitive workload assessment.
  • Integrated multiple data collection methods, including task performance metrics, eye-tracking, ECG, and electrodermal activity.
  • Implemented a comparative experimental protocol between traditional and visually guided support systems.
  • Found that cognitive support conditions significantly affect user performance during tasks.
  • Demonstrated that physiological responses differed between traditional and immersive instruction methods.

Cite This Study

Giglio et al. (2026) studied this question.

synapsesocial.com/papers/69c37be2b34aaaeb1a67ebcdhttps://doi.org/10.1016/j.procs.2026.02.319
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Also Consider

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  1. 1Evaluating Accessibility in Industrial VR Training: A Wagon-Loading Case Study2026
  2. 2Determining Cognitive Workload Using Physiological Measurements: Pupillometry and Heart-Rate Variability2024 · 33 citations
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  4. 4A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments2026 · 1 citations
  5. 5Predictive Modelling of Cognitive Workload in VR: An Eye-Tracking Approach2024 · 4 citations