scholarly journals Working memory contents capture attention in real-world visual search

2017 ◽  
Vol 17 (10) ◽  
pp. 671
Author(s):  
Shinyoung Jung ◽  
Yosun Yoon ◽  
Suk Won Han
Keyword(s):  
Working Memory ◽  
Visual Search ◽  
Real World ◽  
Memory Contents

Working Memory-Driven Attention in Real-World Search

Perception ◽  
2018 ◽  
Vol 47 (9) ◽  
pp. 966-975 ◽  
Author(s):  
Shinyoung Jung ◽  
Yosun Yoon ◽  
Suk Won Han
Keyword(s):  
Working Memory ◽  
Attentional Capture ◽  
Real World ◽  
Target Object ◽  
Visual Object ◽  
Indoor Scenes ◽  
Bias Attention ◽  
Memory Contents ◽  
Online Catalogue ◽  
World Environment

People’s attention is well attracted to stimuli matching their working memory. This memory-driven attentional capture has been demonstrated in simplified and controlled laboratory settings. The present study investigated whether working memory contents capture attention in a setting that closely resembles real-world environment. In the experiment, participants performed a task of searching for a target object in real-world indoor scenes, while maintaining a visual object in working memory. To create a setting similar to real-world environment, images taken from IKEA®’s online catalogue were used. The results showed that participants’ attention was biased toward a working memory-matching object, interfering with the target search. This was so even when participants did not expect that a memory-matching stimulus would appear in the search array. These results suggest that working memory can bias attention in complex, natural environment and this memory-driven attentional capture in real-world setting takes place in an automatic manner.

Visual Search Facilitation in Repeated Displays Depends on Visuospatial Working Memory

2012 ◽  
Vol 59 (1) ◽  
pp. 47-54 ◽  
Author(s):  
Angela A. Manginelli ◽  
Franziska Geringswald ◽  
Stefan Pollmann
Keyword(s):  
Working Memory ◽  
Visual Search ◽  
Control Experiment ◽  
Memory Load ◽  
Contextual Cueing ◽  
Long Term Memory ◽  
Visuospatial Working Memory ◽  
Working Memory Load ◽  
Memory Resources

When distractor configurations are repeated over time, visual search becomes more efficient, even if participants are unaware of the repetition. This contextual cueing is a form of incidental, implicit learning. One might therefore expect that contextual cueing does not (or only minimally) rely on working memory resources. This, however, is debated in the literature. We investigated contextual cueing under either a visuospatial or a nonspatial (color) visual working memory load. We found that contextual cueing was disrupted by the concurrent visuospatial, but not by the color working memory load. A control experiment ruled out that unspecific attentional factors of the dual-task situation disrupted contextual cueing. Visuospatial working memory may be needed to match current display items with long-term memory traces of previously learned displays.

Visual search within working memory.

2019 ◽  
Vol 148 (10) ◽  
pp. 1688-1700 ◽  
Author(s):  
Garry Kong ◽  
Daryl Fougnie
Keyword(s):  
Working Memory ◽  
Visual Search

scholarly journals How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Melissa Treviño ◽  
Xiaoshu Zhu ◽  
Yi Yi Lu ◽  
Luke S. Scheuer ◽  
Eliza Passell ◽  
...  
Keyword(s):  
Working Memory ◽  
Factor Analysis ◽  
Visual Search ◽  
Object Tracking ◽  
Visual Working Memory ◽  
Neuropsychological Tests ◽  
Digit Span ◽  
Digit Symbol ◽  
Attentional Capacity ◽  
Spatial Span

AbstractWe investigated whether standardized neuropsychological tests and experimental cognitive paradigms measure the same cognitive faculties. Specifically, do neuropsychological tests commonly used to assess attention measure the same construct as attention paradigms used in cognitive psychology and neuroscience? We built on the “general attention factor”, comprising several widely used experimental paradigms (Huang et al., 2012). Participants (n = 636) completed an on-line battery (TestMyBrain.org) of six experimental tests [Multiple Object Tracking, Flanker Interference, Visual Working Memory, Approximate Number Sense, Spatial Configuration Visual Search, and Gradual Onset Continuous Performance Task (Grad CPT)] and eight neuropsychological tests [Trail Making Test versions A & B (TMT-A, TMT-B), Digit Symbol Coding, Forward and Backward Digit Span, Letter Cancellation, Spatial Span, and Arithmetic]. Exploratory factor analysis in a subset of 357 participants identified a five-factor structure: (1) attentional capacity (Multiple Object Tracking, Visual Working Memory, Digit Symbol Coding, Spatial Span), (2) search (Visual Search, TMT-A, TMT-B, Letter Cancellation); (3) Digit Span; (4) Arithmetic; and (5) Sustained Attention (GradCPT). Confirmatory analysis in 279 held-out participants showed that this model fit better than competing models. A hierarchical model where a general cognitive factor was imposed above the five specific factors fit as well as the model without the general factor. We conclude that Digit Span and Arithmetic tests should not be classified as attention tests. Digit Symbol Coding and Spatial Span tap attentional capacity, while TMT-A, TMT-B, and Letter Cancellation tap search (or attention-shifting) ability. These five tests can be classified as attention tests.

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