Collaborative ECHO research led by Sara Nozadi, PhD, of the University of New Mexico and Andréa Aguiar, PhD of the University of Illinois Urbana-Champaign suggests that eye-tracking technology can be used as a robust measure across diverse populations and settings to assess attention patterns linked to socially withdrawn behavior in preschool children. Their research, titled “Cross-Cultural Applicability of Eye-Tracking in Assessing Attention to Emotional Faces in Preschool-Aged Children” is published in the Emotion Journal.
Humans tend to give more attention to emotional information than neutral information. Past research indicates departures from this pattern typically occur in children with socially withdrawn behaviors. However, most of this research has been very limited and only conducted in controlled settings among primarily White children from urban areas.
In this study, ECHO researchers wanted to determine the extent to which two eye-tracking–based measures could be used cross-culturally to assess attention biases and how these biases might relate to socially withdrawn behaviors in children.
The researchers leveraged ECHO’s large sample size and diverse population to compare information from children in two ECHO cohorts that were very different demographically, geographically, racially and culturally. They analyzed data from 125 children aged 3.5 to 5.5 years from the Navajo Birth Cohort Study (NBCS) and 70 children aged 3.8 to 4.0 years from the Illinois Kids Development Study (IKIDS). NBCS is a cohort of indigenous children who live in rural Tribal lands across New Mexico, Utah, and Arizona and tend to have relatively low socioeconomic status (SES). In contrast, children from IKIDS are primarily Non-Hispanic White and high-SES, living around the University of Illinois at Urbana-Champaign campus in central Illinois. Children in the NBCS historically have not been included in developmental studies, including those investigating attention biases, whereas the IKIDS sample closely resembles the children assessed in most of the previously published eye-tracking studies of attention bias toward emotional stimuli.
Researchers had both groups of children complete two eye-tracking tasks that measured their attention to photos of human faces with positive, negative, and neutral expressions. Indigenous children were assessed in different locations in the Navajo territory, whereas IKIDS children came to a research laboratory in the University campus. Mothers also reported on their child’s socially withdrawn behaviors using the Child Behavioral Checklist (CBCL)—a standardized survey commonly used in research and clinical settings to evaluate risk for behavioral and emotional problems in children.
Attention patterns were similar across the two samples of children irrespective of differences in their cultures, demographics, or assessment settings. Overall, children paid more attention to emotional faces compared to neutral faces, and they were particularly quick to detect angry faces—because this expression may signify a threat. These findings replicate results of previous research with both adults and children. Indigenous children with socially withdrawn behaviors were more likely than other children in the study to avoid emotional faces—a response that has been observed in children with higher levels of socially withdrawn behaviors.
“This work shows that eye tracking can be used to measure patterns of attention towards emotional facial cues—both adaptive patterns and those that underlie socially withdrawn behaviors—in young children,” said Dr. Nozadi. “Because eye tracking technology does not rely on limited clinical observations or parents’ reports, it can be used as a more objective and less biased measure across various settings and communities.”
Moving forward, the researchers will look at how the responses they see in these young children change with age and determine whether eye tracking continues to be an unbiased tool for assessing attention throughout development.