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Visual Attention - Y2 - Coggle Diagram
Visual Attention - Y2
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Failures of attention (Gilhooly et al, 2022)
Change blindness - phenomenon where substantial differences between two nearly identical scenes are not noticed when presented sequentially
- Happens due to capacity of sensory register - interference with iconic memory in the visual sensory store
-> Flicker task used often to test this phenomenon - disrupting the iconic store leads to change blindness, and in a dynamic world the visual store is disrupted when focusing on one stimuli
-> Small changes are rarely important, so due to cognitive load it is not paid attention too
Inattentional blindness - the failure to notice a clearly visible target due to attention being diverted from the target
- Gorilla task - expertise does not mean that attention and perception limitations are erased - researchers should look to understand the limits so that medical and man-made search tasks could be designed in a way that reduces the consequences of these limitations (Drew et al, 2013)
- 20 out of 24 radiologists failed to spot Gorilla placed into a lung X-ray - suggests under certain circumstances radiologists could miss the presence of a large anomalous stimulus
- Can be explained by the normalisation model of attention - because you are looking for a preferred stimulus, you do not process the non-preferred stimuli
The Taxonomy of external and internal attention (Chun et al, 2011):
- Attentional mechanisms select, modulate, and sustain focus on information most relevant for behaviour
- However, it is difficult to study - this study proposes a taxonomy based on the target of attention
-> External attention - selection and modulation of sensory information
-> Internal attention - selection, modulation and maintenance of internally generated information such as task rules, responses, LTM or WM
- Working memory in particular is closest to the intersection between the two
Visual attention in ADHD
Visual attention in adults with ADHD before and after stimulant treatment (Low et al, 2019)
- Low et al (2018) - exploring biomarkers for ADHD can be useful towards improving diagnosis, clinical subtyping and targeting of treatments in adult ADHD
- They report their study is among the first to explore the effects of methylphenidate (drug treatment) on attentional functions
- Final sample consisted of 37 stimulant medication-naive adult patients with a primary diagnosis of ADD - 42 controls matching patients on age, gender, and parental educational level
- Baseline measures were taken, including - neuropsychological test battery (including theory of visual attention based assessment), IQ subtest and test of EF, several clinical rating scales and structured interviews, medical examination
- Medication was started after the baseline measures were taken - patients were treated with methylphenidate according to their individual clinical needs
-> Controls did not receive medication and performance was measured after 6 weeks in follow up testing
Main findings related to visual attention (Low et al, 2019):
- At baseline, significant differences found on patients and controls in visual short-term memory capacity and threshold of conscious perception
-> Lesser extent of difference in total processing speed of visual system (C)
- At follow-up, significant improvements found for C with a large effect size - improvements in C may represent an improvement for alertness
Visual attention and memory with internet use (Firth et al, 2020):
- Individual level - suggest ADHD individuals may be more at risk to Internet Use Disorder
- Population level - evidence helps them make claims regarding collective attention span linked to social media use
-> Frith et al, 2020 - increased distractibility and altered attention allocation impacting collective attention span; linked to the externalisation of memory and retrieval processes as it is stored in devices
Advert saliency distracts children’s visual attention during task-oriented internet use (Holmberg et al, 2014)
- Main findings -
-> Individual factors such as age, gender and level of gaze control have clear effects on both performance measures as well as distraction measures associated with solving the tasks used in the study
-> Advert onset speed and advert task relevance only had a marginal effect on task performance but showed a clear effect on task distraction
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Summary
- Exploring visual attention has been a trend since the 1980s
- Some of the main experimental approaches emerging from this trend are - visual search, inhibition of return and attentional blink, with models and specific cognitive tasks associated with each
- Normalisation model of attention helps explain the neural mechanisms underlying the modulation of visual attention
- There are two most commonly explored attentional failures - change and inattentional blindness
- Learning more about visual attention can help us better understand individual differences - for example, it can help us understand the experience of a person diagnosed with ADHD, and inform practice
Overlapping mechanisms of attention and working memory (Awh & Jonides, 2001):
- Spatial selective attention and working memory have been mostly studied in isolation - observers can bias visual processing towards specific locations, enabling faster and better processing of information at those locations than at unattended locations
- Support the view that this process of visual selection is a key component of rehearsal in spatial working memory
- Spatial rehearsal recruits top-down processes to modulate early analysis
Perceptual load - Lavie, 1995:
- If perceptual load determines the selective processing of irrelevant information, this can resolve the late and early selection debate
- Physical separation is not a sufficient condition for selective perception - overloading perception is also required
- Rees, Frith & Lavie (1997) - Perception of irrelevant distractors depends on the relevant processing load
Change blindness - Simons & Levin (1998)
Unconscious initiation of a voluntary act - Libet et al, 1983