Related Experiment Video
Updated: Apr 10, 2026

Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
Published on: December 5, 2025
Cognitive workload modulation through degraded visual stimuli: a single-trial EEG study
1Singapore Institute for Neurotechnology, Centre for Life Sciences, National University of Singapore, Singapore. Faculty of Informatics & Electronics, Zhejiang Sci-Tech University, People's Republic of China.
Objective:
Our experiments explored the effect of visual stimuli degradation on cognitive workload.
Approach:
We investigated the subjective assessment, event-related potentials (ERPs) as well as electroencephalogram (EEG) as measures of cognitive workload.
Main Results:
These experiments confirm that degradation of visual stimuli increases cognitive workload as assessed by subjective NASA task load index and confirmed by the observed P300 amplitude attenuation. Furthermore, the single-trial multi-level classification using features extracted from ERPs and EEG is found to be promising. Specifically, the adopted single-trial oscillatory EEG/ERP detection method achieved an average accuracy of 85% for discriminating 4 workload levels. Additionally, we found from the spatial patterns obtained from EEG signals that the frontal parts carry information that can be used for differentiating workload levels.
Significance:
Our results show that visual stimuli can modulate cognitive workload, and the modulation can be measured by the single trial EEG/ERP detection method.

