Related Experiment Video
Updated: May 11, 2025

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
Published on: April 4, 2025
Tracing Visual Expertise in ECG Interpretation: An Eye-Tracking Pilot Study
Alessandro Bortolotti1, Fabrizio Ricci1,2,3,4, Carmelita Cieri1,2
1Department of Neuroscience, Imaging and Clinical Sciences, G. D'annunzio University of Chieti-Pescara, Chieti, Italy.
Background:
Visual expertise is pivotal for accurate ECG interpretation. We aimed to identify and measure expertise-based differences in visual search patterns, cognitive load, and diagnostic accuracy during ECG analysis using eye-tracking technology.
Methods:
First- to third-year residents and board-certified expert cardiologists interpreted ECGs of patients with suspected acute coronary syndrome, while eye-tracking glasses recorded fixation count, duration, and pupil dilation. Diagnostic accuracy and cognitive load via NASA Task Load Index were analyzed. Heatmaps illustrated relationships between cognitive load, perceived workload, and self-assessed performance across experience levels and ECG task complexities.
Results:
Expert readers interpreted ECGs significantly faster than residents (107.6 ± 32.8 vs. 205.31 ± 57.43 s; p < 0.001) and demonstrated higher diagnostic accuracy across all levels of task difficulty (p < 0.001). Eye-tracking analysis revealed that experts exhibited fewer fixations (67.7 ± 25.7 vs. 143.7 ± 29.9; p < 0.001) and longer fixation durations (3.9 ± 0.7 vs. 3.2 ± 1 s; p = 0.032) than residents. Experts also showed lower pupil dilation changes (4.8% ± 2% vs. 10.5% ± 4.2%; p = 0.015). Increased task difficulty was associated with greater pupil dilation, particularly among novices (mean pupil dilation for difficult tasks 13.4% ± 4.1% vs. 7.3% ± 2.3% for easy tasks; p = 0.008), indicating higher cognitive demand. Experts maintained superior self-assessed performance (8 ± 0 vs. 7 ± 1.2; p = 0.009) and reported lower perceived negative workload (4.5 ± 1.45 vs. 6 ± 0.55; p = 0.041).
Conclusions:
In this pilot study, expert readers achieved faster and more accurate diagnoses, exhibiting more efficient visual search patterns and lower cognitive load. Pending external validation, our findings suggest that ECG training programs should focus on developing targeted visual techniques, cognitive efficiency, and adaptive coping strategies to enhance accurate interpretation.
More Related Videos
Related Concept Videos
Electrocardiogram
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
Electrocardiogram Fundamentals
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...

