niy010.pdf (893.83 kB)
Individual differences in change blindness are predicted by the strength and stability of visual representations
journal contribution
posted on 2023-06-09, 16:08 authored by Nora Andermane, Jenny BostenJenny Bosten, Anil SethAnil Seth, Jamie WardJamie WardThe 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 visual stability (loading on change detection, attention measures, VSTM and perceptual rivalry) and visual ability (loading on iconic memory, temporal order judgments and contrast sensitivity). These results highlight the importance of strong, stable representations and the ability to resist distraction, in order to successfully incorporate unexpected changes into the contents of visual awareness.
History
Publication status
- Published
File Version
- Published version
Journal
Neuroscience of ConsciousnessISSN
2057-2107Publisher
Oxford University PressExternal DOI
Issue
1Volume
5Page range
1-12Department affiliated with
- Informatics Publications
Research groups affiliated with
- Centre for Computational Neuroscience and Robotics Publications
- Sackler Centre for Consciousness Science Publications
- Sussex Neuroscience Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2018-12-04First Open Access (FOA) Date
2019-01-25First Compliant Deposit (FCD) Date
2018-12-03Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC