ReviewBrain sciences2023
The Role of Talking Faces in Infant Language Learning: Mind the Gap between Screen-Based Settings and Real-Life Communicative Interactions.
Review in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07245693 (Longitudinal Assessment of Early Premature Infant Skills for Audiovisual Speech Perception), which is not on this map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Longitudinal Assessment of Early Premature Infant Skills for Audiovisual Speech Perception
Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Sit and face the world: ontogenetic adaptation in infant vocal production and visual attention during the transition to independent sitting.BMC psychology · 2025Article
- Impact of pacifier use and parenting characteristics on toddlers' vocabulary development.Frontiers in psychology · 2025Article
- Analysis of the impact of parents' electronic screen time habits, young children's screen exposure and parent-child interaction on language development delay in young children.Frontiers in pediatrics · 2025Article
- Who spoke that language? Assessing early face-language associations in monolingual and bilingual infants.Frontiers in psychology · 2024Article
- Advances in Understanding the Phenomena and Processing in Audiovisual Speech Perception.Brain sciences · 2023Article
- Experience-Sensitive Effects on Temporal Profiles of Social Attention in Early Childhood.Infancy : the official journal of the International Society on Infant StudiesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Over the last few decades, developmental (psycho) linguists have demonstrated that perceiving talking faces audio-visually is important for early language acquisition. Using mostly well-controlled and screen-based laboratory approaches, this line of research has shown that paying attention to talking faces is likely to be one of the powerful strategies infants use to learn their native(s) language(s). In this review, we combine evidence from these screen-based studies with another line of research that has studied how infants learn novel words and deploy their visual attention during naturalistic play. In our view, this is an important step toward developing an integrated account of how infants effectively extract audiovisual information from talkers' faces during early language learning. We identify three factors that have been understudied so far, despite the fact that they are likely to have an important impact on how infants deploy their attention (or not) toward talking faces during social interactions: social contingency, speaker characteristics, and task- dependencies. Last, we propose ideas to address these issues in future research, with the aim of reducing the existing knowledge gap between current experimental studies and the many ways infants can and do effectively rely upon the audiovisual information extracted from talking faces in their real-life language environment.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.