scholarly journals 'Cognitive strategy' in visual search: how it works and when it generalises

2017 ◽  
Author(s):  
David Yates ◽  
Tom Stafford
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
Cognitive Strategy ◽  
Baseline Condition ◽  
Search Tasks ◽  
Initial Saccade ◽  
Unique Item

Recent evidence suggests that participants perform better on some visual search tasks when they are instructed to search the display passively (i.e. letting the unique item “pop” into mind) rather than actively (Smilek, Enns, Eastwood, & Merikle, 2006; Watson, Brennan, Kingstone, & Enns, 2010). We extended these findings using eye tracking, a neutral baseline condition (Experiment 1) and testing visual search over a wider range of eccentricies (10 ◦ –30 ◦ , Experiment 2). We show that the passive instructions led to participants delaying their initial saccade compared to participants given active or neutral instructions. Despite taking longer to start searching the display, passive participants then find and respond to the target faster. We show that this benefit does not extend to search where items were distributed in the true periphery.

Computer vision enhances mobile eye-tracking to expose expert cognition in natural-scene visual-search tasks

2014 ◽  
Author(s):  
Tommy P. Keane ◽  
Nathan D. Cahill ◽  
John A. Tarduno ◽  
Robert A. Jacobs ◽  
Jeff B. Pelz
Keyword(s):  
Computer Vision ◽  
Visual Search ◽  
Eye Tracking ◽  
Natural Scene ◽  
Search Tasks ◽  
Mobile Eye Tracking

scholarly journals Combining EEG and Eye Tracking: Using Fixation-Locked Potentials in Visual Search

2013 ◽  
Vol 6 (4) ◽  
Author(s):  
Brent Winslow ◽  
Angela Carpenter ◽  
Jesse Flint ◽  
Xuezhong Wang ◽  
David Tomasetti ◽  
...  
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
Time Pressure ◽  
Neural Pathways ◽  
Search Tasks ◽  
Analysis Process ◽  
Eeg Recordings ◽  
And Performance ◽  
Search Training ◽  
Areas Of Interest

Visual search is a complex task that involves many neural pathways to identify relevant areas of interest within a scene. Humans remain a critical component in visual search tasks, as they can effectively perceive anomalies within complex scenes. However, this task can be challenging, particularly under time pressure. In order to improve visual search training and performance, an objective, process-based measure is needed. Eye tracking technology can be used to drive real-time parsing of EEG recordings, providing an indication of the analysis process. In the current study, eye fixations were used to generate ERPs during a visual search task. Clear differences were observed following performance, suggesting that neurophysiological signatures could be developed to prevent errors in visual search tasks.

scholarly journals Eliminating the Low Prevalence Effect in Visual Search with a Remarkably Simple Strategy

2021 ◽  
Author(s):  
J. Eric T. Taylor ◽  
Matthew D. Hilchey ◽  
Blaire J. Weidler ◽  
Jay Pratt
Keyword(s):  
Visual Search ◽  
Similarity Search ◽  
Public Safety ◽  
Cognitive Strategy ◽  
High Rate ◽  
Dramatic Reduction ◽  
Search Tasks ◽  
Simple Strategy ◽  
Display Element ◽  
Low Prevalence

The low prevalence effect in visual search occurs when rare targets are missed at a disproportionately high rate. This effect has enormous significance in health and public safety and has proven resistant to intervention. In three experiments (Ns = 41, 40, 44), we document a dramatic reduction of the effect using a simple cognitive strategy requiring no training. Instead of asking participants to search for the presence or absence of a target, as is typically done in visual search tasks, we asked participants to engage in “similarity search” – to identify the display element most similar to a target on every trial, regardless of whether a target is present. Under normal search instructions, we observed strong low prevalence effects. Using similarity search, we failed to detect the low prevalence effect under identical visual conditions across three experiments.

scholarly journals Influence of scene structure and content on visual search strategies

2017 ◽  
Vol 14 (132) ◽  
pp. 20170406 ◽  
Author(s):  
Tatiana A. Amor ◽  
Mirko Luković ◽  
Hans J. Herrmann ◽  
José S. Andrade
Keyword(s):  
Visual Search ◽  
Eye Tracking ◽  
High Sensitivity ◽  
Search Strategies ◽  
Model Parameters ◽  
Artificial Eye ◽  
Search Tasks ◽  
Scene Structure ◽  
Visual Landscape

When searching for a target within an image, our brain can adopt different strategies, but which one does it choose? This question can be answered by tracking the motion of the eye while it executes the task. Following many individuals performing various search tasks, we distinguish between two competing strategies. Motivated by these findings, we introduce a model that captures the interplay of the search strategies and allows us to create artificial eye-tracking trajectories, which could be compared with the experimental ones. Identifying the model parameters allows us to quantify the strategy employed in terms of ensemble averages, characterizing each experimental cohort. In this way, we can discern with high sensitivity the relation between the visual landscape and the average strategy, disclosing how small variations in the image induce changes in the strategy.

In Search of Experience Effects: How TSA Officers Differ From Undergraduates on Visual Search Tasks

2012 ◽  
Author(s):  
Stephen R. Mitroff ◽  
Adam T. Biggs ◽  
Matthew S. Cain ◽  
Elise F. Darling ◽  
Kait Clark ◽  
...  
Keyword(s):  
Visual Search ◽  
Search Tasks ◽  
Experience Effects

Differences in visual search tasks between congenitally deaf and normally hearing adults

1998 ◽  
Vol 6 (3) ◽  
pp. 227-232 ◽  
Author(s):  
Philippe Stivalet ◽  
Yvan Moreno ◽  
Joëlle Richard ◽  
Pierre-Alain Barraud ◽  
Christian Raphel
Keyword(s):  
Visual Search ◽  
Search Tasks
Sign in / Sign up

Export Citation Format

Share Document