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Fasano, Regina M.; Perry, Lynn K.; Zhang, Yi; Vitale, Laura; Wang, Jue; Song, Chaoming; Messinger, Daniel S. – Grantee Submission, 2021
Children's preschool experiences have consequences for development. However, it is not clear how children's real-time interactions with peers affect their language development; nor is it clear whether these processes differ between children with autism spectrum disorder (ASD) and two other groups of children, those with general developmental…
Descriptors: Preschool Children, Inclusion, Preschool Education, Autism Spectrum Disorders
Messinger, Daniel S.; Moffitt, Jacquelyn; Mitsven, Samantha G.; Ahn, Yeojin Amy; Custode, Stephanie; Chervonenko, Evgeniy; Sadiq, Saad; Shyu, Mei-Ling; Perry, Lynn K. – Grantee Submission, 2022
Early interaction is a dynamic, emotional process in which infants influence and are influĀenced by caregivers and peers. This chapter reviews new developments in behavior imagĀing--objective quantification of human action--and computational approaches to the study of early emotional interaction and development. Advances in the automated…
Descriptors: Infants, Interaction, Early Experience, Peer Relationship
Yi Zhang; Yudong Tao; Mei-Ling Shyu; Lynn K. Perry; Prem R. Warde; Daniel S. Messinger; Chaoming Song – Grantee Submission, 2022
Current models of COVID-19 transmission predict infection from reported or assumed interactions. Here we leverage high-resolution observations of interaction to simulate infectious processes. Ultra- Wide Radio Frequency Identification (RFID) systems were employed to track the real-time physical movements and directional orientation of children and…
Descriptors: COVID-19, Pandemics, Simulation, Observation
D. S. Messinger; L. K. Perry; S. G. Mitsven; Y. Tao; J. Moffitt; R. M. Fasano; S. A. Custode; C. M. Jerry – Grantee Submission, 2022
Audio-visual recording and location tracking produce enormous quantities of digital data with which researchers can document children's everyday interactions in naturalistic settings and assessment contexts. Machine learning and other computational approaches can produce replicable, automated measurements of these big behavioral data. The…
Descriptors: Artificial Intelligence, Computation, Measurement Techniques, Automation
Samantha G. Mitsven; Lynn K. Perry; Christian M. Jerry; Daniel S. Messinger – Grantee Submission, 2022
During the COVID-19 pandemic, mask-wearing in classrooms has become commonplace. However, there are little data on the effect of face-masks on children's language input and production in educational contexts, like preschool classrooms which over half of United States children attend. Leveraging repeated objective measurements, we longitudinally…
Descriptors: Preschool Teachers, Preschool Children, COVID-19, Pandemics
Batya Elbaum; Lynn K. Perry; Daniel S. Messinger – Grantee Submission, 2024
New technologies that combine digital sensors with automated processing algorithms are now being deployed to study preschool classrooms. This article provides an overview of these new sensing technologies, focusing on automated speaker classification, the analysis of children's and teachers' speech, and the detection and analysis of their…
Descriptors: Preschool Education, Preschool Children, Social Networks, Interaction
Stephanie A. Custode; Jhonelle Bailey; Lei Sun; Lynne Katz; MaryAnne Ullery; Daniel Messinger; Rebecca J. Bulotsky-Shearer; Lynn K. Perry – Journal of Early Intervention, 2024
Preschoolers' language abilities are associated with their social interactions in early childhood classrooms. Few studies, however, have examined associations between social interactions and objective measures of children's real-time classroom language environments, information key to informing interventions to support preschool children at risk…
Descriptors: Preschool Education, Preschool Children, Interpersonal Relationship, Early Intervention
Mitsven, Samantha G.; Perry, Lynn K.; Tao, Yudong; Elbaum, Batya E.; Johnson, Neil F.; Messinger, Daniel S. – Developmental Science, 2022
Over half of US children are enrolled in preschools, where the quantity and quality of language input from teachers are likely to affect children's language development. Leveraging repeated objective measurements, we examined the rate per minute and phonemic diversity of child and teacher speech-related vocalizations in preschool classrooms and…
Descriptors: Preschool Children, Phonemic Awareness, Oral Language, Predictor Variables
Lynn K. Perry; Samantha G. Mitsven; Stephanie Custode; Laura Vitale; Brett Laursen; Chaoming Song; Daniel S. Messinger – Grantee Submission, 2022
Children with hearing loss often attend inclusive preschool classrooms aimed at improving their spoken language skills. Although preschool classrooms are fertile environments for vocal interaction with peers, little is known about the dyadic processes that influence children's speech to one another and foster their language abilities and how these…
Descriptors: Preschool Children, Preschool Education, Hearing Impairments, Inclusion
Altman, Robert L.; Laursen, Brett; Messinger, Daniel S.; Perry, Lynn K. – Grantee Submission, 2020
The present study validates a new procedure that combines continuous measures of proximity (Ubisense) and vocalization (LENA) into measures of peer social interaction. The data were collected from 4 boys and 5 girls (ages 2-3 at the outset) on 8 separate days (3-4 hours per day) over the course of an academic year. Teacher reports of friendship…
Descriptors: Peer Relationship, Friendship, Proximity, Interpersonal Communication