Effects of perceptual load on eyewitness memory are moderated by individual differences in cognitive ability.

2020 ◽  
Author(s):  
Ciara Greene ◽  
Ruth Maloney-Derham ◽  
Kirsty Mulligan
Keyword(s):  
Individual Differences ◽  
Cognitive Ability ◽  
Perceptual Load ◽  
Working Memory Capacity ◽  
Eyewitness Memory ◽  
Perceptual Processing ◽  
Global Memory ◽  
Main Character ◽  
Analytical Reasoning ◽  
And Control

Previous research has identified perceptual load – the amount of perceptual processing required by a scene – as a potentially important factor in eyewitness memory. Here, we investigated whether effects of perceptual load on eyewitness memory for a simulated crime are moderated by individual differences in cognitive ability. We presented participants with a video of a simulated crime that imposed either high or low perceptual load, followed by a written narrative which contained a mixture of neutral and misleading descriptions of critical details. We examined the effects of three cognitive variables (working memory capacity, verbal cognitive ability and analytical reasoning) on participants’ ability to accurately recall details of the video in both the misinformation and control conditions, and to detect a change in the clothing of a main character. General cognitive ability was associated with improved global memory for details of the event, and enhanced change detection under load. Greater WM capacity and a tendency towards analytical reasoning were both associated with resistance to misinformation under conditions of high perceptual load. We conclude that higher levels of cognitive ability, assessed across a number of domains, may enable eyewitnesses to withstand the effects of perceptual load and preserve the accuracy of their memories.

Effects of perceptual load on eyewitness memory are moderated by individual differences in cognitive ability

Memory ◽  
2020 ◽  
Vol 28 (4) ◽  
pp. 450-460
Author(s):  
Ciara M. Greene ◽  
Ruth Maloney-Derham ◽  
Kirsty Mulligan
Keyword(s):  
Individual Differences ◽  
Cognitive Ability ◽  
Perceptual Load ◽  
Eyewitness Memory

scholarly journals Is baseline pupil size related to cognitive ability? Yes (under proper lighting conditions).

2020 ◽  
Author(s):  
Jason S. Tsukahara ◽  
Randall W Engle
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Cognitive Ability ◽  
Pupil Size ◽  
Large Scale ◽  
Fluid Intelligence ◽  
Functional Organization ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Lighting Conditions

We found that individual differences in baseline pupil size correlated with fluid intelligence and working memory capacity. Larger pupil size was associated with higher cognitive ability. However, other researchers have not been able to replicate our 2016 finding – though they only measured working memory capacity and not fluid intelligence. In a reanalysis of Tsukahara et al. (2016) we show that reduced variability on baseline pupil size will result in a higher probability of obtaining smaller and non-significant correlations with working memory capacity. In two large-scale studies, we demonstrated that reduced variability in baseline pupil size values was due to the monitor being too bright. Additionally, fluid intelligence and working memory capacity did correlate with baseline pupil size except in the brightest lighting conditions. Overall, our findings demonstrated that the baseline pupil size – working memory capacity relationship was not as strong or robust as that with fluid intelligence. Our findings have strong methodological implications for researchers investigating individual differences in task-free or task-evoked pupil size. We conclude that fluid intelligence does correlate with baseline pupil size and that this is related to the functional organization of the resting-state brain through the locus coeruleus-norepinephrine system.

scholarly journals Binding Costs in Processing Efficiency as Determinants of Cognitive Ability

2020 ◽  
Author(s):  
Benjamin Goecke ◽  
Florian Schmitz ◽  
Oliver Wilhelm
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Cognitive Ability ◽  
Fluid Intelligence ◽  
Task Complexity ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Cognitive Tasks ◽  
General Factor ◽  
Elementary Cognitive Tasks

Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a person’s ability to establish and maintain temporary bindings (e.g., relations between items or relations between items and their context), we manipulated binding requirements (i.e., 2, 4, and 6 relations) in three choice reaction time paradigms (i.e., two comparison tasks, two change-detection tasks, and two substitution tasks) measuring mental speed. Response time distributions of N = 115 participants were analyzed with the diffusion model. Higher binding requirements resulted in generally reduced efficiency of information processing, as indicated by lower drift rates. Additionally, we fitted bi-factor confirmatory factor analysis to the elementary cognitive tasks to separate basal speed and binding requirements of the employed tasks to quantify their specific contributions to working memory capacity, as measured by Recall-1-Back tasks. A latent factor capturing individual differences in binding was incrementally predictive of working memory capacity, over and above a general factor capturing speed. These results indicate that the theory-driven task complexity manipulation in terms of binding requirements moderated the relation of mental speed tasks with cognitive ability in the predicted way. We conclude that binding requirements and, therefore, demands on working memory capacity offer a satisfactory account of task complexity that accounts for a large portion of individual differences in ability.

Domain-General Models of Expertise

2019 ◽  
pp. 55-84 ◽  
Author(s):  
David Z. Hambrick ◽  
Alexander P. Burgoyne ◽  
Frederick L. Oswald
Keyword(s):  
Individual Differences ◽  
Job Performance ◽  
Cognitive Ability ◽  
Working Memory Capacity ◽  
Small Sample ◽  
Job Experience ◽  
Industrial Organizational Psychology ◽  
Small Sample Sizes ◽  
Restriction Of Range ◽  
Acquisition Of Expertise

This chapter reviews evidence concerning the contribution of cognitive ability to individual differences in expertise. The review covers research in traditional domains for expertise research such as music, sports, and chess, as well as research from industrial–organizational psychology on job performance. The specific question that we seek to address is whether domain-general measures of cognitive ability (e.g., IQ, working memory capacity, executive functioning, processing speed) predict individual differences in domain-relevant performance, especially beyond beginning levels of skill. Evidence from the expertise literature relevant to this question is difficult to interpret, due to small sample sizes, restriction of range, and other methodological limitations. By contrast, there is a wealth of consistent evidence that cognitive ability is a practically important and statistically significant predictor of job performance, even after extensive job experience. The chapter discusses ways that cognitive ability measures might be used in efforts to accelerate the acquisition of expertise.

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