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Quantifying Supervisory Decision Making: Eye‐Tracking Technology Applications for the Promotion of Child Safety
Author(s) -
Cavalari Rachel N. S.,
Romanczyk Raymond G.
Publication year - 2015
Publication title -
journal of behavioral decision making
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 76
eISSN - 1099-0771
pISSN - 0894-3257
DOI - 10.1002/bdm.1857
Subject(s) - autism spectrum disorder , psychological intervention , psychology , intervention (counseling) , promotion (chess) , typically developing , autism , developmental psychology , tracking (education) , sample (material) , clinical psychology , psychiatry , politics , pedagogy , chemistry , chromatography , political science , law
Previous research has investigated various risk factors correlated with childhood injury, but few studies have successfully investigated these variables beyond participant self‐report. The present study utilized infrared eye‐tracking and computer‐based latency measures to evaluate caregiver supervision decisions in injury risk situations for typically developing children and children with autism spectrum disorder. The sample included 99 young women, ages 18–24 years, who are frequent non‐parental caregivers for children. Results indicated that participants altered their speed of response, child monitoring, and intervention decisions on the basis of idiosyncratic assessment of injury risk. Minimal significant differences emerged with regard to supervision behavior and chosen strategies when comparing children with autism spectrum disorder to typically developing children. Overall, results suggest that non‐parental caregivers integrate child characteristics and environmental risk factors when assessing risk and choosing interventions. Implications are discussed with regard to injury prevention programs emphasizing protective aspects of supervision for children across various settings. Copyright © 2015 John Wiley & Sons, Ltd.