Evidence map›Paper›PMID 28972928›Full record

ArticleJournal of experimental child psychology2018

Semantic content outweighs low-level saliency in determining children's and adults' fixation of movies.

Andrew T Rider, Antoine Coutrot, Elizabeth Pellicano, Steven C Dakin, Isabelle Mareschal

Open access · hybridAbstract read
In one paragraph

Article in Journal of experimental child psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Protracted development of gaze behaviour.Nature human behaviour · 2025
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  5. Quantifying task-related gaze.Attention, perception & psychophysics · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Andrew T RiderUCL Institute of Ophthalmology, University College London, London WC1E 6BT, UK. Electronic address: a.rider@ucl.ac.uk.
Antoine CoutrotCentre for Mathematics and Physics in Life Sciences and Experimental Biology (CoMPLEX), University College London, London WC1E 6BT, UK.
Elizabeth PellicanoCentre for Research in Autism and Education (CRAE), Department of Psychology and Human Development, UCL Institute of Education, University College London, London WC1H 0AL, UK; School of Psychology, University of Western Australia, Crawley, Perth, Western Australia 6009, Australia.
Steven C DakinUCL Institute of Ophthalmology, University College London, London WC1E 6BT, UK; School of Optometry and Vision Science, University of Auckland, Auckland 1010, New Zealand.
Isabelle MareschalDepartment of Psychology, Queen Mary University, London E1 4NS, UK. Electronic address: i.mareschal@qmul.ac.uk.
University College London · GBQueen Mary University of London · GBUniversity of Auckland · NZUniversity of Western Australia · AU

Funding

Medical Research Council MR/J013145/1
6 · The paper itself

Abstract

To make sense of the visual world, we need to move our eyes to focus regions of interest on the high-resolution fovea. Eye movements, therefore, give us a way to infer mechanisms of visual processing and attention allocation. Here, we examined age-related differences in visual processing by recording eye movements from 37 children (aged 6-14years) and 10 adults while viewing three 5-min dynamic video clips taken from child-friendly movies. The data were analyzed in two complementary ways: (a) gaze based and (b) content based. First, similarity of scanpaths within and across age groups was examined using three different measures of variance (dispersion, clusters, and distance from center). Second, content-based models of fixation were compared to determine which of these provided the best account of our dynamic data. We found that the variance in eye movements decreased as a function of age, suggesting common attentional orienting. Comparison of the different models revealed that a model that relies on faces generally performed better than the other models tested, even for the youngest age group (<10years). However, the best predictor of a given participant's eye movements was the average of all other participants' eye movements both within the same age group and in different age groups. These findings have implications for understanding how children attend to visual information and highlight similarities in viewing strategies across development.

Indexed as

AttentionSemanticsAdolescentAdultAgingChildFemaleFixation, OcularHumansMaleMotion PicturesOrientationVisual PerceptionYoung AdultDevelopmentDynamicEye movementsFacesGazeSaliencyVisual attention

Identifiers

PMID28972928
PMCPMC5710995
OpenAlexW2760182834

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.