An Examination of Visual Search Success for Transportation Security Officers and Behavior Detection Officers

2015 ◽  
pp. 817-824 ◽  
Author(s):  
Randall D. Spain ◽  
Jerry W. Hedge ◽  
Katrina M. Ladd
Keyword(s):  
Visual Search ◽  
Behavior Detection ◽  
Transportation Security ◽  
Security Officers ◽  
And Behavior

Examining Predictors of Visual Search Success in Transportation Security Officers and Behavior Detection Officers

2017 ◽  
Vol 61 (1) ◽  
pp. 1308-1312 ◽  
Author(s):  
Randall D. Spain ◽  
Jerry W. Hedge ◽  
Jennifer K. Blanchard
Keyword(s):  
Visual Search ◽  
Spatial Ability ◽  
Video Game ◽  
Practical Implication ◽  
Future Research ◽  
Search Performance ◽  
Behavior Detection ◽  
Transportation Security ◽  
Security Officers ◽  
And Behavior

Transportation Security Officers (TSOs) and Behavior Detection Officers (BDOs) are an integral part of the Transportation Security Administration’s (TSA) multilayered security program. Both officers are required to visually search their environments for prohibited items and cues that might be indicative of a threat. The purpose of this project was to identify factors that predicted the visual search success of these officers. A simulated visual search task was completed by 375 TSOs and BDOs, along with a battery of surveys designed to measure individual differences in personality traits, abilities, hobbies, and spatial ability. Results showed that TSOs and BDOs were highly accurate in their searches but that TSOs searched images faster than BDOs without sacrificing accuracy. Additional results showed that the strongest predictors of visual search accuracy were search speed and search consistency, but spatial ability emerged as a significant predictor for TSOs and frequency of video-game play emerged as a significant predictor for BDOs. Additional traits were also correlated with search performance but did not emerge as significant predictors in our regression models. Practical implication and directions for future research are discussed.

Driver drowsiness and behavior detection in prolonged conditionally automated drives

2016 ◽  
Author(s):  
Jurgen Schmidt ◽  
Christian Braunagel ◽  
Wolfgang Stolzmann ◽  
Katja Karrer-Gauss
Keyword(s):  
Behavior Detection ◽  
Driver Drowsiness ◽  
And Behavior

scholarly journals Expectations and perceptual priming in a visual search task: Evidence from eye movements and behavior.

2019 ◽  
Vol 45 (4) ◽  
pp. 489-499 ◽  
Author(s):  
Olga Shurygina ◽  
Árni Kristjánsson ◽  
Luke Tudge ◽  
Andrey Chetverikov
Keyword(s):  
Visual Search ◽  
Eye Movements ◽  
Search Task ◽  
Visual Search Task ◽  
Perceptual Priming ◽  
And Behavior

Trend and Behavior Detection from Web Queries

2004 ◽  
pp. 173-183
Author(s):  
Peiling Wang ◽  
Jennifer Bownas ◽  
Michael W. Berry
Keyword(s):  
Behavior Detection ◽  
And Behavior ◽  
Web Queries

scholarly journals Temporal Binding and Segmentation in Visual Search: A Computational Neuroscience Analysis

2016 ◽  
Vol 28 (10) ◽  
pp. 1553-1567 ◽  
Author(s):  
Eirini Mavritsaki ◽  
Glyn Humphreys
Keyword(s):  
Visual Search ◽  
Brain Lesion ◽  
Search Display ◽  
Temporal Coding ◽  
Time And Space ◽  
Temporal Binding ◽  
Psychological Review ◽  
And Behavior ◽  
Attentional Inhibition ◽  
Over Time

Human visual search operates not only over space but also over time, as old items remain in the visual field and new items appear. Preview search (where one set of distractors appears before the onset of a second set) has been used as a paradigm to study search over time and space [Watson, D. G., & Humphreys, G. W. Visual marking: Prioritizing selection for new objects by top–down attentional inhibition of old objects. Psychological Review, 104, 90–122, 1997], with participants showing efficient search when old distractors can be ignored and new targets prioritized. The benefits of preview search are lost, however, if a temporal gap is introduced between a first presentation of the old items and the re-presentation of all the items in the search display [Kunar, M. A., Humphreys, G. W., & Smith, K. J. History matters: The preview benefit in search is not onset capture. Psychological Science, 14, 181–185, 2003a], consistent with the old items being bound by temporal onset to the new stimuli. This effect of temporal binding can be eliminated if the old items reappear briefly before the new items, indicating also a role for the memory of the old items. Here we simulate these effects of temporal coding in search using the spiking search over time and space model [Mavritsaki, E., Heinke, D., Allen, H., Deco, G., & Humphreys, G. W. Bridging the gap between physiology and behavior: Evidence from the sSoTS model of human visual attention. Psychological Review, 118, 3–41, 2011]. We show that a form of temporal binding by new onsets has to be introduced to the model to simulate the effects of a temporal gap, but that effects of the memory of the old item can stem from continued neural suppression across a temporal gap. We also show that the model can capture the effects of brain lesion on preview search under the different temporal conditions. The study provides a proof-of-principle analysis that neural suppression and temporal binding can be sufficient to account for human search over time and space.

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