ArticleDevelopmental cognitive neuroscience2019
Eye tracking in developmental cognitive neuroscience - The good, the bad and the ugly.
Article in Developmental cognitive neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
55 citing papers in PubMed.
- INTERSTAARS: Attention training for infants with elevated likelihood of developing ADHD: A proof-of-concept randomised controlled trial.Translational psychiatry · 2021Trial
- The double-pass correlation: A reliability metric for subjective judgments in developmental research.MethodsX · 2026Article
- Association between eye-tracking measures and Griffiths-III developmental scores at 18 months in healthy term-born children.Pediatric research · 2026Article
- Eyes on Development: Exploring the Impact of Early Life Nutrition Exposures on Child Cognition Through Eye-Tracking Assessment.Nutrition reviews · 2026Article
- The fundamentals of eye tracking, Part 7: Determining data quality.Behavior research methods · 2026Article
- Genetic and environmental influences on data missingness in developmental cognitive neuroscience.Communications psychology · 2026Article
- Data-Driven Insights into E-Learning: A Comprehensive Review of Eye-Tracking Applications in Learning Systems.Journal of eye movement research · 2026Review
- Rapid Automatized Naming (RAN) and Word Reading Fluency in Early School-Aged Children: A Pilot Eye-Tracking Study.Journal of eye movement research · 2026Article
- Research on differences in scalp aging characteristics and visual attention between genders in the Chinese population.Frontiers in medicine · 2026Article
- Introducing the kollaR package: A user-friendly open-access solution for eye-tracking analysis and visualization.Behavior research methods · 2025Article
- Emotion and Feeling in Parent-Child Dyads: Neurocognitive and Psychophysiological Pathways of Development.Children (Basel, Switzerland) · 2025Review
- Using novel neural measures to explore the development of infant attention bias to threat.Developmental psychology · 2025Article
- Development of attentional disengagement in typically developing children and children with elevated levels of attentional deficits.Experimental brain research · 2025Article
- Reading Assessment and Eye Movement Analysis in Bilateral Central Scotoma Due to Age-Related Macular Degeneration.Journal of eye movement research · 2025Article
- Infant Social Attention Associated with Elevated Likelihood for Autism Spectrum Disorder: A Multi-Method Comparison.Journal of autism and developmental disorders · 2025Article
- Stability of Individual Differences in Social and Nonsocial Visual Attention From Newborn to 14 Months.Developmental psychobiology · 2025Article
- Experimental Dataset on Eye-tracking Activity During Self-Regulated Learning.Scientific data · 2025Article
- Saliency Models Reveal Reduced Top-Down Attention in Attention-Deficit/Hyperactivity Disorder: A Naturalistic Eye-Tracking Study.JAACAP open · 2025Article
- Eye Tracking in Aging: Challenges, Best Practices, and Novel Frontiers.ACM transactions on applied perception · 2025Article
- Accurate eye tracking from dense 3D surface reconstructions using single-shot deflectometry.Nature communications · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Eye tracking is a popular research tool in developmental cognitive neuroscience for studying the development of perceptual and cognitive processes. However, eye tracking in the context of development is also challenging. In this paper, we ask how knowledge on eye-tracking data quality can be used to improve eye-tracking recordings and analyses in longitudinal research so that valid conclusions about child development may be drawn. We answer this question by adopting the data-quality perspective and surveying the eye-tracking setup, training protocols, and data analysis of the YOUth study (investigating neurocognitive development of 6000 children). We first show how our eye-tracking setup has been optimized for recording high-quality eye-tracking data. Second, we show that eye-tracking data quality can be operator-dependent even after a thorough training protocol. Finally, we report distributions of eye-tracking data quality measures for four age groups (5 months, 10 months, 3 years, and 9 years), based on 1531 recordings. We end with advice for (prospective) developmental eye-tracking researchers and generalizations to other methodologies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.