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. 2025 Sep:80:102119.
doi: 10.1016/j.infbeh.2025.102119. Epub 2025 Aug 1.

Automated iPad-based gaze detection in the NIH Baby Toolbox® norming study

Affiliations

Automated iPad-based gaze detection in the NIH Baby Toolbox® norming study

Miriam A Novack et al. Infant Behav Dev. 2025 Sep.

Abstract

The NIH Baby Toolbox® ("Baby Toolbox") is a comprehensive battery of assessments administered on an iPad and designed for children aged 1-42 months. It is also the first normed developmental assessment to include gaze paradigms, which are common in developmental research and provide a non-invasive technique for measuring attention and cognitive processes without requiring a coordinated motor or verbal response from the child. Baby Toolbox gaze paradigms collect real-time eye gaze data using augmented reality features native to the iPad. Here, we describe our approach to developing and validating this gaze technology for the Baby Toolbox norming study. In a sample of 1079 infants between 6 and 23 months, we found strong calibration success across ages, sex, race/ethnicity, parental education and eye-color although some group differences emerged for race/ethnicity and parental education. Reliability results against hand-coding demonstrated moderate to strong reliability, although results varied by individual. Overall, these results highlight the Baby Toolbox gaze technology as an exciting and novel approach to developmental assessment.

Keywords: Baby Toolbox; Cognitive development; Developmental assessment; Early childhood; Eye-tracking; Infancy.

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References

    1. Apple. (2017). Face ID Security. https://images.apple.com/business/docs/FaceID_Security_Guide.pdf
    1. Apple. (2024). Arfaceanchor – information about the pose, topology, and expression of a face detected in a face-tracking ar session. https://developer.apple.com/documentation/arkit/arfaceanchor.
    1. Apple Inc. ARKit. Retrieved September from https://developer.apple.com/documentation/arkit
    1. Aslin RN (2007). What’s in a look? Developmental science, 10(1), 48–53. 10.1111/j.1467-7687.2007.00563.x - DOI - PMC - PubMed
    1. Blignaut P, & Wium D (2014). Eye-tracking data quality as affected by ethnicity and experimental design. Behavior Research Methods, 46, 67–80. 10.3758/s13428-013-0343-0 - DOI - PubMed