Evidence for a Positive Relationship between Working-Memory Capacity and Detection of Low-Prevalence Targets in Visual Search

Perception ◽  
10.1068/p7386 ◽  
2013 ◽  
Vol 42 (1) ◽  
pp. 112-114 ◽  
Author(s):  
Jeremy Schwark ◽  
Joshua Sandry ◽  
Igor Dolgov
Perception ◽  
2016 ◽  
Vol 46 (1) ◽  
pp. 109-115 ◽  
Author(s):  
Chad Peltier ◽  
Mark W. Becker

As public safety relies on the ability of professionals, such as radiologists and baggage screeners, to detect rare targets, it could be useful to identify predictors of visual search performance. Schwark, Sandry, and Dolgov found that working memory capacity (WMC) predicts hit rate and reaction time in low prevalence searches. This link was attributed to higher WMC individuals exhibiting a higher quitting threshold and increasing the probability of finding the target before terminating search in low prevalence search. These conclusions were limited based on the methods; without eye tracking, the researchers could not differentiate between an increase in accuracy due to fewer identification errors (failing to identify a fixated target), selection errors (failing to fixate a target), or a combination of both. Here, we measure WMC and correlate it with reaction time and accuracy in a visual search task. We replicate the finding that WMC predicts reaction time and hit rate. However, our analysis shows that it does so through both a reduction in selection and identification errors. The correlation between WMC and selection errors is attributable to increased quitting thresholds in those with high WMC. The correlation between WMC and identification errors is less clear, though potentially attributable to increased item inspection times in those with higher WMC. In addition, unlike Schwark and coworkers, we find that these WMC effects are fairly consistent across prevalence rates rather than being specific to low-prevalence searches.


2009 ◽  
Vol 62 (7) ◽  
pp. 1430-1454 ◽  
Author(s):  
Bradley J. Poole ◽  
Michael J. Kane

Variation in working-memory capacity (WMC) predicts individual differences in only some attention-control capabilities. Whereas higher WMC subjects outperform lower WMC subjects in tasks requiring the restraint of prepotent but inappropriate responses, and the constraint of attentional focus to target stimuli against distractors, they do not differ in prototypical visual-search tasks, even those that yield steep search slopes and engender top-down control. The present three experiments tested whether WMC, as measured by complex memory span tasks, would predict search latencies when the 1–8 target locations to be searched appeared alone, versus appearing among distractor locations to be ignored, with the latter requiring selective attentional focus. Subjects viewed target-location cues and then fixated on those locations over either long (1,500–1,550 ms) or short (300 ms) delays. Higher WMC subjects identified targets faster than did lower WMC subjects only in the presence of distractors and only over long fixation delays. WMC thus appears to affect subjects’ ability to maintain a constrained attentional focus over time.


2010 ◽  
Vol 6 (6) ◽  
pp. 130-130
Author(s):  
K. Sobel ◽  
M. Gerrie ◽  
M. Kane ◽  
B. Poole

Author(s):  
Cyrus K. Foroughi ◽  
Ericka Rovira ◽  
Kaley Rose ◽  
DaShawn Davis ◽  
Jaritzel J. Jurado ◽  
...  

With the proliferation of automated tasks, software, and systems, humans are moving from an active participant in the function of a task to a passive monitor of an automated system that is completing that task. Unfortunately, humans are not well-suited for monitoring roles and there is a need to better understand the factors involved when humans successfully identify when an automated system fails. The goal for this research was to determine whether individual differences in attention control (as measured by the anti-saccade task) and working memory capacity (as measured by the shortened operation span) related to an individual’s ability to detect automation failures. In experiment 1, there was a significant positive relationship ( r = .31) between scores on the anti-saccade task and the number of automation failures that participants detected. In experiment 2, there was a significant positive relationship ( r = .32) between scores on the shortened operation span and the number of automation failures that participants’ detected. The results suggest that certain individuals are better suited for detecting automation failures. Selecting for these individuals may be a fruitful endeavor as automated systems continue to grow across society.


2007 ◽  
Vol 14 (5) ◽  
pp. 840-845 ◽  
Author(s):  
Kenith V. Sobel ◽  
Matthew P. Gerrie ◽  
Bradley J. Poole ◽  
Michael J. Kane

2021 ◽  
Author(s):  
Ralph S. Redden ◽  
Kaylee Eady ◽  
Raymond M Klein ◽  
Jean Saint-Aubin

Individual differences in working memory capacity (WMC) are related to variations in a wide range of cognitive tasks. Surprisingly, effects of individual differences in working memory capacity are somewhat limited in visual search tasks. Here we tested the hypothesis that such an effect would be robust when search was one component of a dual task. Participants were presented strings of letters using rapid serial visual presentation and were required to detect all instances of a particular target letter. In Experiment 1, participants performed the letter search task in three contexts, while: a) reading a prose passage, b) processing a stream of random words, or c) processing a random stream of non-words. In the absence of the dual task of reading prose, and in line with much of the literature on individual differences in WMC and visual search, search performance was unaffected by WMC. As hypothesized, however, higher working memory capacity participants detected more target letters than lower capacity participants in the “true” dual task (searching while reading prose). The hypothesized results from the prose passage were replicated in Experiment 2. These results show that visual search efficiency is dramatically affected by WMC when searching is combined with another cognitive task but not when it is performed in isolation. Our findings are consistent with recent suggestions that visual search efficiency will be affected by WMC so long as searching is embedded in a context that entails managing resource allocation between concurrent tasks.


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