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Vocabulary and automatic attention: The relation between novel words and gaze dynamics in noun generalization

Overview of attention for article published in Developmental Science, April 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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18 news outlets
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2 blogs
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9 X users

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15 Mendeley
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Title
Vocabulary and automatic attention: The relation between novel words and gaze dynamics in noun generalization
Published in
Developmental Science, April 2023
DOI 10.1111/desc.13399
Pubmed ID
Authors

Milena Bakopoulou, Megan G. Lorenz, Samuel H. Forbes, Rachel Tremlin, Jessica Bates, Larissa K. Samuelson

Abstract

Words direct visual attention in infants, children, and adults, presumably by activating representations of referents that then direct attention to matching stimuli in the visual scene. Novel, unknown, words have also been shown to direct attention, likely via the activation of more general representations of naming events. To examine the critical issue of how novel words and visual attention interact to support word learning we coded frame-by-frame the gaze of 17- to 31-month-old children (n = 66, 38 females) while generalizing novel nouns. We replicate prior findings of more attention to shape when generalizing novel nouns, and a relation to vocabulary development. However, we also find that following a naming event, children who produce fewer nouns take longer to look at the objects they eventually select and make more transitions between objects before making a generalization decision. Children who produce more nouns look to the objects they eventually select more quickly following the naming event and make fewer looking transitions. We discuss these findings in the context of prior proposals regarding children's few-shot category learning, and a developmental cascade of multiple perceptual, cognitive, and word-learning processes that may operate in cases of both typical development and language delay. RESEARCH HIGHLIGHTS: Examined how novel words guide visual attention by coding frame-by-frame where children look when asked to generalize novel names. Gaze patterns differed with vocabulary size: children with smaller vocabularies attended to generalization targets more slowly and did more comparison than those with larger vocabularies. Demonstrates a relationship between vocabulary size and attention to object properties during naming. This work has implications for looking-based tests of early cognition, and our understanding of children's few-shot category learning.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 40%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Researcher 1 7%
Unknown 6 40%
Readers by discipline Count As %
Unspecified 6 40%
Psychology 1 7%
Engineering 1 7%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 152. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2023.
All research outputs
#261,618
of 24,837,507 outputs
Outputs from Developmental Science
#57
of 1,654 outputs
Outputs of similar age
#6,165
of 398,738 outputs
Outputs of similar age from Developmental Science
#2
of 24 outputs
Altmetric has tracked 24,837,507 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,654 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.5. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 398,738 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.