scholarly journals Estimating Transsaccadic Memory Capacity for Visual Search

2014 ◽  
Vol 14 (10) ◽  
pp. 1369-1369
Author(s):  
N. Kleene ◽  
M. Michel
Keyword(s):  
Visual Search ◽  
Memory Capacity ◽  
Transsaccadic Memory

scholarly journals Placing a Lower Bound on Transsaccadic Memory Capacity Using Visual Search

2015 ◽  
Vol 15 (12) ◽  
pp. 1293
Author(s):  
Nicholas Kleene ◽  
Melchi Michel
Keyword(s):  
Visual Search ◽  
Lower Bound ◽  
Memory Capacity ◽  
Transsaccadic Memory

scholarly journals Working-memory capacity predicts the executive control of visual search among distractors: The influences of sustained and selective attention

2009 ◽  
Vol 62 (7) ◽  
pp. 1430-1454 ◽  
Author(s):  
Bradley J. Poole ◽  
Michael J. Kane
Keyword(s):  
Working Memory ◽  
Visual Search ◽  
Target Location ◽  
Memory Span ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attentional Focus ◽  
Search Tasks ◽  
Span Tasks ◽  
Target Locations

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.

scholarly journals Working memory capacity influences the top-down factors in visual search

2010 ◽  
Vol 6 (6) ◽  
pp. 130-130
Author(s):  
K. Sobel ◽  
M. Gerrie ◽  
M. Kane ◽  
B. Poole
Keyword(s):  
Working Memory ◽  
Visual Search ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Top Down

scholarly journals Individual differences in working memory capacity and visual search: The roles of top-down and bottom-up processing

2007 ◽  
Vol 14 (5) ◽  
pp. 840-845 ◽  
Author(s):  
Kenith V. Sobel ◽  
Matthew P. Gerrie ◽  
Bradley J. Poole ◽  
Michael J. Kane
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Visual Search ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Top Down ◽  
Bottom Up

scholarly journals Individual Differences in Working Memory Capacity and Visual Search in Reading

2021 ◽  
Author(s):  
Ralph S. Redden ◽  
Kaylee Eady ◽  
Raymond M Klein ◽  
Jean Saint-Aubin
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Visual Search ◽  
Dual Task ◽  
Cognitive Task ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Search Efficiency ◽  
Prose Passage ◽  
Wide Range

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.

scholarly journals Human Visual Search Follows Suboptimal Bayesian Strategy Revealed by a Spatiotemporal Computational Model

2019 ◽  
Author(s):  
Yunhui Zhou ◽  
Yuguo Yu
Keyword(s):  
Visual Search ◽  
Eye Movements ◽  
Visual System ◽  
Eye Movement ◽  
Search Strategy ◽  
Memory Capacity ◽  
Search Performance ◽  
Human Eye ◽  
Visibility Map ◽  
Temporal Course

AbstractHumans perform sequences of eye movements to search for a target in complex environment, but the efficiency of human search strategy is still controversial. Previous studies showed that humans can optimally integrate information across fixations and determine the next fixation location. However, their models ignored the temporal control of eye movement, ignored the limited human memory capacity, and the model prediction did not agree with details of human eye movement metrics well. Here, we measured the temporal course of human visibility map and recorded the eye movements of human subjects performing a visual search task. We further built a continuous-time eye movement model which considered saccadic inaccuracy, saccadic bias, and memory constraints in the visual system. This model agreed with many spatial and temporal properties of human eye movements, and showed several similar statistical dependencies between successive eye movements. In addition, our model also predicted that the human saccade decision is shaped by a memory capacity of around 8 recent fixations. These results suggest that human visual search strategy is not strictly optimal in the sense of fully utilizing the visibility map, but instead tries to balance between search performance and the costs to perform the task.Author SummaryDuring visual search, how do humans determine when and where to make eye movement is an important unsolved issue. Previous studies suggested that human can optimally use the visibility map to determine fixation locations, but we found that such model didn’t agree with details of human eye movement metrics because it ignored several realistic biological limitations of human brain functions, and couldn’t explain the temporal control of eye movements. Instead, we showed that considering the temporal course of visual processing and several constrains of the visual system could greatly improve the prediction on the spatiotemporal properties of human eye movement while only slightly affected the search performance in terms of median fixation numbers. Therefore, humans may not use the visibility map in a strictly optimal sense, but tried to balance between search performance and the costs to perform the task.

Sign in / Sign up

Export Citation Format

Share Document