Leveraging technological advances to assess dyadic visual cognition during infancy in high- and low-resource settings.
Autor: | Aneja P; School of Psychology, University of East Anglia, Norwich, United Kingdom., Kinna T; School of Medicine, University of East Anglia, Norwich, United Kingdom.; School of Pharmacy, University of East Anglia, Norwich, United Kingdom., Newman J; IT and Computing, University of East Anglia, Norwich, United Kingdom., Sami S; School of Medicine, University of East Anglia, Norwich, United Kingdom., Cassidy J; School of Psychology, University of East Anglia, Norwich, United Kingdom., McCarthy J; School of Psychology, University of East Anglia, Norwich, United Kingdom., Tiwari M; Community Empowerment Lab, Lucknow, India., Kumar A; Community Empowerment Lab, Lucknow, India., Spencer JP; School of Psychology, University of East Anglia, Norwich, United Kingdom. |
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Jazyk: | angličtina |
Zdroj: | Frontiers in psychology [Front Psychol] 2024 May 30; Vol. 15, pp. 1376552. Date of Electronic Publication: 2024 May 30 (Print Publication: 2024). |
DOI: | 10.3389/fpsyg.2024.1376552 |
Abstrakt: | Caregiver-infant interactions shape infants' early visual experience; however, there is limited work from low-and middle-income countries (LMIC) in characterizing the visual cognitive dynamics of these interactions. Here, we present an innovative dyadic visual cognition pipeline using machine learning methods which captures, processes, and analyses the visual dynamics of caregiver-infant interactions across cultures. We undertake two studies to examine its application in both low (rural India) and high (urban UK) resource settings. Study 1 develops and validates the pipeline to process caregiver-infant interaction data captured using head-mounted cameras and eye-trackers. We use face detection and object recognition networks and validate these tools using 12 caregiver-infant dyads (4 dyads from a 6-month-old UK cohort, 4 dyads from a 6-month-old India cohort, and 4 dyads from a 9-month-old India cohort). Results show robust and accurate face and toy detection, as well as a high percent agreement between processed and manually coded dyadic interactions. Study 2 applied the pipeline to a larger data set (25 6-month-olds from the UK, 31 6-month-olds from India, and 37 9-month-olds from India) with the aim of comparing the visual dynamics of caregiver-infant interaction across the two cultural settings. Results show remarkable correspondence between key measures of visual exploration across cultures, including longer mean look durations during infant-led joint attention episodes. In addition, we found several differences across cultures. Most notably, infants in the UK had a higher proportion of infant-led joint attention episodes consistent with a child-centered view of parenting common in western middle-class families. In summary, the pipeline we report provides an objective assessment tool to quantify the visual dynamics of caregiver-infant interaction across high- and low-resource settings. Competing Interests: MT and AK were employed by Community Empowerment Lab. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Aneja, Kinna, Newman, Sami, Cassidy, McCarthy, Tiwari, Kumar and Spencer.) |
Databáze: | MEDLINE |
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