Consistency and variability in multimodal parent-child social interaction: An at-home study using head-mounted eye trackers.

Real-time attention coordination in parent-toddler dyads is often studied in tightly controlled laboratory settings. These studies have demonstrated the importance of joint attention in scaffolding the development of attention and the types of dyadic behaviors that support early language learning. Little is known about how often these behaviors occur in toddlers' everyday lives. We brought wireless head-mounted eye trackers to families' homes to study the moment-to-moment patterns of toddlers' and parents' visual attention and manual activity in daily routines. Our sample consisted of English- and Spanish-speaking families who all reported being middle- or upper middle-class. Toddlers were 2 to 3 years old. Consistent with the findings from previous laboratory studies, we found variability in how frequently toddlers attended to named objects in two everyday activities-Object Play and Mealtime. We then tested whether parent-toddler joint attention in the seconds before a naming utterance increased toddler's attention on the named object. We found that joint attention accompanied by the attended object being held increased the child's attention to the labeled object during naming. We posit that in the rich, noisy world of toddlers' everyday lives, embodied attention plays a critical role in coordinating dyadic behaviors and creating informative naming moments. Our findings highlight the importance of studying toddlers' natural behavior in the real world. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Feats: A database of semantic features for early produced noun concepts.

Semantic feature production norms have several desirable characteristics that have supported models of representation and processing in adults. However, several key challenges have limited the use of semantic feature norms in studies of early language acquisition. First, existing norms provide uneven and inconsistent coverage of early-acquired concepts that are typically produced and assessed in children under the age of three, which is a time of tremendous growth of early vocabulary skills. Second, it is difficult to assess the degree to which young children may be familiar with normed features derived from these adult-generated datasets. Third, it has been difficult to adopt standard methods to generate semantic network models of early noun learning. Here, we introduce Feats-a tool that was designed to make headway on these challenges by providing a database, the Language Learning and Meaning Acquisition (LLaMA) lab Noun Norms that extends a widely used set of feature norms McRae et al. Behavior Research Methods 37, 547-559, (2005) to include full coverage of noun concepts on a commonly used early vocabulary assessment. Feats includes several tools to facilitate exploration of features comprising early-acquired nouns, assess the developmental appropriateness of individual features using toddler-accessibility norms, and extract semantic network statistics for individual vocabulary profiles. We provide a tutorial overview of Feats. We additionally validate our approach by presenting an analysis of an overlapping set of concepts collected across prior and new data collection methods. Furthermore, using network graph analyses, we show that the extended set of norms provides novel, reliable results given their enhanced coverage.

Perceptual Connectivity Influences Toddlers' Attention to Known Objects and Subsequent Label Processing.

While recent research suggests that toddlers tend to learn word meanings with many "perceptual" features that are accessible to the toddler's sensory perception, it is not clear whether and how building a lexicon with perceptual connectivity supports attention to and recognition of word meanings. We explore this question in 24-30-month-olds (N = 60) in relation to other individual differences, including age, vocabulary size, and tendencies to maintain focused attention. Participants' looking to item pairs with high vs. low perceptual connectivity-defined as the number of words in a child's lexicon sharing perceptual features with the item-was measured before and after target item labeling. Results revealed pre-labeling attention to known items is biased to both high- and low-connectivity items: first to high, and second, but more robustly, to low-connectivity items. Subsequent object-label processing was also facilitated for high-connectivity items, particularly for children with temperamental tendencies to maintain focused attention. This work provides the first empirical evidence that patterns of shared perceptual features within children's known vocabularies influence both visual and lexical processing, highlighting the potential for a newfound set of developmental dependencies based on the perceptual/sensory structure of early vocabularies.

Vocabulary size and structure affects real-time lexical recognition in 18-month-olds.

The mature lexicon encodes semantic relations between words, and these connections can alternately facilitate and interfere with language processing. We explore the emergence of these processing dynamics in 18-month-olds (N = 79) using a novel approach that calculates individualized semantic structure at multiple granularities in participants' productive vocabularies. Participants completed two interleaved eye-tracked word recognition tasks involving semantically unrelated and related picture contexts, which sought to measure the impact of lexical facilitation and interference on processing, respectively. Semantic structure and vocabulary size differentially impacted processing in each task. Category level structure facilitated word recognition in 18-month-olds with smaller productive vocabularies, while overall lexical connectivity interfered with word recognition for toddlers with relatively larger vocabularies. The results suggest that, while semantic structure at multiple granularities is measurable even in small lexicons, mechanisms of semantic interference and facilitation are driven by the development of structure at different granularities. We consider these findings in light of accounts of adult word recognition that posits that different levels of structure index strong and weak activation from nearby and distant semantic neighbors. We also consider further directions for developmental change in these patterns.