Tools
Tools
Aneja, Prerna 
ORCID: https://orcid.org/0000-0002-1271-0697, Kinna, Thomas, Newman, Jacob, Sami, Saber, Cassidy, Joe, McCarthy, Jordan, Tiwari, Madhuri, Kumar, Aarti and Spencer, John ORCID: https://orcid.org/0000-0002-7320-144X
(2024)
Leveraging technological advances to assess dyadic visual cognition during infancy in high- and low-resource settings.
Frontiers in Psychology, 15.
ISSN 1664-1078
Preview |
PDF (fpsyg-15-1376552)
- Published Version
Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding information: The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by grant OPP1164153 from the Bill & Melinda Gates Foundation and grant R01HD083287 from the U.S. National Institutes of Health. Both grants were awarded to JPS. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. |
| Uncontrolled Keywords: | caregiver-infant dyads,cognitive development,infancy,eye-tracking,low-and middle-income countries (lmic),visual attention,eye-tracking,infancy,psychology(all),3* ,/dk/atira/pure/subjectarea/asjc/3200 |
| Faculty \ School: | Faculty of Social Sciences > School of Psychology Faculty of Science > School of Pharmacy (former - to 2024) Faculty of Medicine and Health Sciences > Norwich Medical School Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Social Sciences > Research Groups > Social Cognition Research Group Faculty of Social Sciences > Research Groups > Developmental Science Faculty of Social Sciences > Research Groups > Cognition, Action and Perception Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Mental Health Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 15 May 2024 09:31 |
| Last Modified: | 31 Oct 2024 13:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/95198 |
| DOI: | 10.3389/fpsyg.2024.1376552 |
Downloads
Downloads per month over past year
Actions (login required)
 |
View Item |