Blur Detection Is Unaffected By Cognitive Load, But Eye Movements and Scene Recognition Memory Are.
نویسندگان
چکیده
منابع مشابه
Blur Detection is Unaffected by Cognitive Load
Blur detection is affected by retinal eccentricity, but is it also affected by attentional resources? Research showing effects of selective attention on acuity and contrast sensitivity suggests that allocating attention should increase blur detection. However, research showing that blur affects selection of saccade targets suggests that blur detection may be pre-attentive. To investigate this q...
متن کاملEye Movements , Visual Memory , and Scene Representation
visual representations of local objects and scene elements in long-term memory (what we have called long-term object files; Hollingworth & Henderson, 2000b), tied together with a spatial representation of object locations. Cognitive representations including object and scene identity and meaning are also generated during fixations, and these can also be stored both in short-term and long-term m...
متن کاملVisual scene memory and the guidance of saccadic eye movements
An unresolved question is how much information can be remembered from visual scenes when they are inspected by saccadic eye movements. Subjects used saccadic eye movements to scan a computer-generated scene, and afterwards, recalled as many objects as they could. Scene memory was quite good: it improved with display duration, it persisted over time long after the display was removed, and it con...
متن کاملEye movements and scene perception: memory for things observed.
In this study, we examined the characteristics of on-line scene representations, using a partial-report procedure. Subjects inspected a simple scene containing seven objects for 1, 3, 5, 9, or 15 fixations; shortly after scene offset, a marker cued one scene location for report. Consistent with previous research, the results indicated that scene representations are relatively sparse; even after...
متن کاملStudying Eye Movements As A Basis For Measuring Cognitive Load
Copyright held by the owner/author(s). CHI’18 Extended Abstracts, April 21–26, 2018, Montreal, QC, Canada ACM 978-1-4503-5621-3/18/04. https://doi.org/10.1145/3170427.3188628 Abstract Users’ cognitive load while interacting with a system is a valuable metric for evaluations in HCI. We encourage the analysis of eye movements as an unobtrusive and widely available way to measure cognitive load. I...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2014
ISSN: 1534-7362
DOI: 10.1167/14.10.529