Multimodal estimation
How accurately can EEG, ECG, EDA, and eye-tracking data estimate cognitive load?
Research overview
Human Cognitive State Estimation and Cross-Subject Generalization
I am investigating how well EEG, ECG, EDA, and eye-tracking data can estimate cognitive load, and whether the models generalize to new participants.
The physiological measurements include electroencephalography (EEG), electrocardiography (ECG), and electrodermal activity (EDA), alongside eye-tracking measures. Cognitive load is the specific cognitive state examined in this study.
Ongoing · Findings forthcoming
Research questions
What this study is investigating
Generalization
How well do models developed with one group of participants generalize to new participants?
General approach
From measurements to evaluation
Prepare measurements
Review signal quality and align the physiological and gaze recordings for analysis.
Develop features
Represent the complementary modalities and assess their potential contribution.
Plan validation
Compare cognitive-load estimation within the study cohort with performance on participants held out from model development.
Project status
Work in progress
The research and evaluation are ongoing. Findings will be added when they are ready for public release.