Individual differences and situation awareness

Klamklay, Jaruwan

doi:10.31274/rtd-180813-14300

Cited by 1 publication

(3 citation statements)

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“…In this study, the increase in reaction time during the Stroop effect in SA-task correlated positively with the SA Index. This goes in line with the previous studies where delayed reaction times were observed when the font color and the word were different compared to when they were the same (Klamklay, 2002; Repov, 2004). This happens during the Stroop effect as the processing of a color impedes the simultaneous processing of a second stimulus attribute (word).…”

Section: Discussionsupporting

confidence: 92%

“…Past research (Jensen & Rohwer, 1966; Kang et al, 2013; Scarpina & Tagini, 2017) reported the application of the Stroop test in measuring cognitive functions, such as attention, processing speed, cognitive flexibility, and working memory. Specifically, Klamklay (2002), in their study, reported a high positive correlation of performance and SA with Stroop color and word test. Despite these works, there are many questions that are still needed to be addressed for a better understanding of the maintenance of SA.…”

Section: Introductionmentioning

confidence: 81%

“…Maintenance of SA is essential for optimum performance in the military, aviation domain. However, there are many physiological and psychological factors that can cause loss of SA (Endsley, Bolstad, & Carolina, 1994; Klamklay, 2002). These factors include attention, long-term and working memory, automaticity, and experience of an individual.…”

Section: Introductionmentioning

confidence: 99%

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Effects of Neural Mechanisms of Pretask Resting EEG Alpha Information on Situational Awareness: A Functional Connectivity Approach

2019

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Objective: In this study, the influence of pretask resting neural mechanisms on situational awareness (SA)-task is studied. Background: Pretask electroencephalography (EEG) information and Stroop effect are known to influence task engagement independently. However, neural mechanisms of pretask resting absolute alpha (PRAA) and pretask resting alpha frontal asymmetry (PRAFA) in influencing SA-task which is undergoing Stroop effect is still not understood. Method: The study involved pretask resting EEG measurements from 18 healthy individuals followed by functional magnetic resonance imaging (fMRI) acquisition during SA-task. To understand the effect of pretask alpha information and Stroop effect on SA, a robust correlation between mean reaction time, SA Index, PRAA, and PRAFA were assessed. Furthermore, neural underpinnings of PRAA, PRAFA in SA-task, and functional connectivity were analyzed through the EEG-informed fMRI approach. Results: Significant robust correlation of reaction time was observed with SA Index (Pearson: r = .50, pcorr = .05) and PRAFA (Pearson: r = .63; pcorr = .01), respectively. Similarly, SA Index significantly correlated with PRAFA (Pearson: r = .56, pcorr = .01; Spearman: r = .61, pcorr = .007), and PRAA (Pearson: r = .59, pcorr = .005; Spearman: r = .59, pcorr = .002). Neural underpinnings of SA-task revealed regions involved in visual-processing and higher-order cognition. PRAA was primarily underpinned at frontal-temporal areas and functionally connected to SA-task regions pertaining to the emotional regulation. PRAFA has correlated with limbic and parietal regions, which are involved in integration of visual, emotion, and memory information of SA-task. Conclusion: The results suggest a strong association of reaction time with SA-task and PRAFA and strongly support the hypothesis that PRAFA, PRAA, and associated neural mechanisms significantly influence the outcome of SA-task. Application: It is beneficial to study the effect of pretask resting information on SA-task to improve SA.

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Section: Discussionsupporting

confidence: 92%