Longitudinal Eye-Tracking Data on Infant Audiovisual Integration

Longitudinal data from 6, 9, and 12-month-old infants, collected via eye-tracking to study audiovisual speech processing. The dataset contains results from General Linear Mixed Models analyzing preferential looking behavior in infants at typical and elevated likelihood of autism. It was authored by Elena Capelli and last updated on 2026-05-12.

Use Cases

• Modeling developmental trajectories of attention to facial features based on age and audiovisual congruence.
• Investigating differences in sensory processing between typical and elevated-likelihood infant groups.
• Exploring associations between early eye-tracking metrics and later autism-related traits assessed at 24 months.

Strengths

• Longitudinal design with data collected at three time points (6, 9, and 12 months).
• Includes a follow-up clinical evaluation at 24 months for a subset of participants.
• Uses a controlled experimental paradigm (McGurk effect) for data collection.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small in size (13.5 KB), indicating limited scope.

Provenance

Source

Elena Capelli via figshare.

Collection Method

Data collected using eye-tracking techniques and the McGurk effect paradigm.

Time Range

Data collected at infant ages of 6, 9, and 12 months, with follow-up at 24 months.

Freshness

Last updated 2026-05-12 17:40:51; freshness should be verified.