ArticleNeuroscience of consciousness2019
Individual differences in change blindness are predicted by the strength and stability of visual representations.
Article in Neuroscience of consciousness, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Subdomains of executive function correlate with accuracy on a change detection task.Psychonomic bulletin & review · 2026Article
- Inter-subject correlations and their behavioral associations vary across movies: Implications for generalizability.bioRxiv : the preprint server for biology · 2026Article
- Linking social attention to reproductive state and future reproduction in female monkeys.Behavioral ecology and sociobiology · 2026Article
- Dyadic interaction enhances sensitivity and shifts decision criterion in a change detection task.Frontiers in cognition · 2026Article
- The time course of stimulus-specific perceptual learning.Journal of vision · 2024Article
- How do drivers mitigate the effects of naturalistic visual complexity? : On attentional strategies and their implications under a change blindness protocol.Cognitive research: principles and implications · 2023Article
- Neurally-constrained modeling of human gaze strategies in a change blindness task.PLoS computational biology · 2021Article
- Individual differences in the Müller-Lyer and Ponzo illusions are stable across different contexts.Journal of vision · 2020Article
- A Three-Feature Model to Predict Colour Change Blindness.Vision (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The phenomenon of change blindness reveals that people are surprisingly poor at detecting unexpected visual changes; however, research on individual differences in detection ability is scarce. Predictive processing accounts of visual perception suggest that better change detection may be linked to assigning greater weight to prediction error signals, as indexed by an increased alternation rate in perceptual rivalry or greater sensitivity to low-level visual signals. Alternatively, superior detection ability may be associated with robust visual predictions against which sensory changes can be more effectively registered, suggesting an association with high-level mechanisms of visual short-term memory (VSTM) and attention. We administered a battery of 10 measures to explore these predictions and to determine, for the first time, the test-retest reliability of commonly used change detection measures. Change detection performance was stable over time and generalized from displays of static scenes to video clips. An exploratory factor analysis revealed two factors explaining performance across the battery, that we identify as
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