2000
DOI: 10.1080/135062800394720
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On the Failure to Detect Changes in Scenes Across Brief Interruptions

Abstract: When brief blank fields are placed between alternating displays of an original and a modified scene, a striking failure of perception is induced: The changes become extremely difficult to notice, even when they are large, presented repeatedly, and the observer expects them to occur (Rensink, O'Regan, & Clark, 1997). To determine the mechanisms behind this induced "change blindness", four experiments examine its dependence on initial preview and on the nature of the interruptions used. Results support the propo… Show more

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Cited by 248 publications
(150 citation statements)
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References 32 publications
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“…First, they indicate that previous controversial evidence about an inconsistency advantage for selection prioritisation during viewing (e.g., Bonitz & Gordon, 2008;Brockmole & Henderson, 2008;Cornelissen & Võ, 2017;Hollingworth & Henderson, 2003;Loftus & Mackworth, 1978;Stirk & Underwood, 2007;Underwood et al, 2007Underwood et al, , 2008 may have arisen from a bias in informativeness per se, due to comparisons with poorly informative objects. Second, they corroborate previous research, carried out in the change detection domain, which considered consistent/diagnostic and consistent/low informative objects and showed that informativeness in terms of diagnosticity for scene leads to preferential selection Pringle et al, 2001;Rensink et al, 1997Rensink et al, , 2000Spotorno & Faure, 2011). We reinforce this earlier claim by demonstrating that diagnosticity prioritisation holds true even when removing the imbalance in informativeness between the compared objects.…”
Section: Semantic and Perceptual Prioritisation In Scene Processingsupporting
confidence: 90%
“…First, they indicate that previous controversial evidence about an inconsistency advantage for selection prioritisation during viewing (e.g., Bonitz & Gordon, 2008;Brockmole & Henderson, 2008;Cornelissen & Võ, 2017;Hollingworth & Henderson, 2003;Loftus & Mackworth, 1978;Stirk & Underwood, 2007;Underwood et al, 2007Underwood et al, , 2008 may have arisen from a bias in informativeness per se, due to comparisons with poorly informative objects. Second, they corroborate previous research, carried out in the change detection domain, which considered consistent/diagnostic and consistent/low informative objects and showed that informativeness in terms of diagnosticity for scene leads to preferential selection Pringle et al, 2001;Rensink et al, 1997Rensink et al, , 2000Spotorno & Faure, 2011). We reinforce this earlier claim by demonstrating that diagnosticity prioritisation holds true even when removing the imbalance in informativeness between the compared objects.…”
Section: Semantic and Perceptual Prioritisation In Scene Processingsupporting
confidence: 90%
“…However, the evidence for this claim is indirect and less than compelling. Rensink et al (2000) found that observers missed changes even if they were allowed to view the original image for 8 sec prior to the change. They reasoned that this should have been ample time for completion of visual processing and, thus, the failure to detect changes was not due to a failure to ever attend to the information from the first scene.…”
Section: Evidence For Change Detectionmentioning
confidence: 99%
“…The observers may have failed to detect changes because the to-be-changed items were of marginal interest and were therefore never processed. Indeed, Rensink et al (2000) found that change blindness is much more likely to arise for items of marginal interest than for those of focal interest.…”
Section: Evidence For Change Detectionmentioning
confidence: 99%
“…Likewise time-space completeness includes the compatibility of frequency of acquisition with the receptive fields response and the coverage of the observer field of view. In particular, the percentage of fixations captured should cope with a natural time delay for a fixation such as 100ms and change blindness [13,16]. In this paper we report on the essential aspects of the gaze localisation model and, in the experiments section, we show that our system correctly estimates the observed point, up to an error that we quantify.…”
Section: Introductionmentioning
confidence: 77%
“…here E(·) is the error function defined in equation (13). Indeed, for any candidate Q j 0 the mean of the err function is computed on a set of n conics.…”
Section: Error Measures Estimation and Minimisationmentioning
confidence: 99%