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<title>SAM</title>
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<pubDate xmlns="http://apache.org/cocoon/i18n/2.1">Sat, 18 Apr 2026 04:53:24 GMT</pubDate>
<dc:date>2026-04-18T04:53:24Z</dc:date>
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<title>Effect of Interruptions and Cognitive Demand on Mental Workload: A Critical Review</title>
<link>http://hdl.handle.net/10985/25123</link>
<description>Effect of Interruptions and Cognitive Demand on Mental Workload: A Critical Review
KOUNDAL, Nitin; ABDALHADI, Abdualrhman; AL-QURAISHI, Maged S.; ELAMVAZUTHI, Irraivan; MOOSAVI, Mahdiyeh Sadat; GUILLET, Christophe; MERIENNE, Frédéric; SAAD, Naufal M.
Worker safety and productivity are crucial for effective job management. Interruptions to an individual’s work environment and their impact on mental health can have adverse effects. One prospective instrument for assessing and calculating an individual’s mental state in an interrupted scenario and cognitive demand levels is the use of physiological computing devices in conjunction with behavioral and subjective measurements. This study sought to address how to gather and compute data on individuals’ cognitive states in interrupted work settings through critical analysis. Thirty-three papers were considered after the literature search and selection procedure. This descriptive study is conducted from three perspectives: parameter measurement, research design, and data analysis. The variables evaluated were working memory, stress, emotional state, performance, and resumption lag. The subject recruitment, experimental task design, and measurement techniques were examined from the standpoint of the experimental design. Data analysis included computing and cognitive pre-processing. Four future research directions are suggested to address the shortcomings of the present studies. This study offers suggestions for researchers on experiment planning and using computing to analyze individuals’ cognitive states during interrupted work scenarios. Additionally, it offers helpful recommendations for organizing and conducting future research.
</description>
<pubDate>Fri, 29 Mar 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/25123</guid>
<dc:date>2024-03-29T00:00:00Z</dc:date>
<dc:creator>KOUNDAL, Nitin</dc:creator>
<dc:creator>ABDALHADI, Abdualrhman</dc:creator>
<dc:creator>AL-QURAISHI, Maged S.</dc:creator>
<dc:creator>ELAMVAZUTHI, Irraivan</dc:creator>
<dc:creator>MOOSAVI, Mahdiyeh Sadat</dc:creator>
<dc:creator>GUILLET, Christophe</dc:creator>
<dc:creator>MERIENNE, Frédéric</dc:creator>
<dc:creator>SAAD, Naufal M.</dc:creator>
<dc:description>Worker safety and productivity are crucial for effective job management. Interruptions to an individual’s work environment and their impact on mental health can have adverse effects. One prospective instrument for assessing and calculating an individual’s mental state in an interrupted scenario and cognitive demand levels is the use of physiological computing devices in conjunction with behavioral and subjective measurements. This study sought to address how to gather and compute data on individuals’ cognitive states in interrupted work settings through critical analysis. Thirty-three papers were considered after the literature search and selection procedure. This descriptive study is conducted from three perspectives: parameter measurement, research design, and data analysis. The variables evaluated were working memory, stress, emotional state, performance, and resumption lag. The subject recruitment, experimental task design, and measurement techniques were examined from the standpoint of the experimental design. Data analysis included computing and cognitive pre-processing. Four future research directions are suggested to address the shortcomings of the present studies. This study offers suggestions for researchers on experiment planning and using computing to analyze individuals’ cognitive states during interrupted work scenarios. Additionally, it offers helpful recommendations for organizing and conducting future research.</dc:description>
</item>
<item>
<title>Hemodynamic Response Asymmetry of the Prefrontal Cortex During a Cognitive Load Task</title>
<link>http://hdl.handle.net/10985/23389</link>
<description>Hemodynamic Response Asymmetry of the Prefrontal Cortex During a Cognitive Load Task
AL-QURAISHI, Maged S.; SAAD, Naufal M.; CHRISTOPHE, GUILLET; MERIENNE, Frédéric
Investigations of the prefrontal cortex (PFC) asymmetry have been conducted in neuroscience research during cognitive load using +electroencephalography (EEG) and other neuroimaging techniques. A few studies used functional near-infrared signals (fNIRS) to analyze asymmetry during cognitive load. This study examined the hemodynamic response asymmetry in the PFC area during N-back load memory tasks, including ive, 2-, and 3-back electroencephalography (EEG) and other neuroimaging techniques. A few studies used functional near-infrared signals (fNIRS) to analyze asymmetry during cognitive load. This study examined the hemodynamic response asymmetry in the PFC area during N-back load memory tasks, including 1-, 2-, and 3-back. The investigation results show that the asymmetry index value fluctuates as the level of memory load rises. In particular, the 1-back task's positive asymmetry index value (M = 0.2761,SD = 0.4139) suggested that left-hemisphere activity was more remarkable than right-hemisphere activation. The asymmetry index, on the other hand, revealed a negative value of (M = - 0.2105,SD= 0.4252) and (M = - 0.3665,SD = 1.2472) for the 2-back and 3-back memory tasks, respectively, indicating that the right hemisphere experienced a more significant increase in Hbo activation than the left.
</description>
<pubDate>Thu, 01 Dec 2022 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/23389</guid>
<dc:date>2022-12-01T00:00:00Z</dc:date>
<dc:creator>AL-QURAISHI, Maged S.</dc:creator>
<dc:creator>SAAD, Naufal M.</dc:creator>
<dc:creator>CHRISTOPHE, GUILLET</dc:creator>
<dc:creator>MERIENNE, Frédéric</dc:creator>
<dc:description>Investigations of the prefrontal cortex (PFC) asymmetry have been conducted in neuroscience research during cognitive load using +electroencephalography (EEG) and other neuroimaging techniques. A few studies used functional near-infrared signals (fNIRS) to analyze asymmetry during cognitive load. This study examined the hemodynamic response asymmetry in the PFC area during N-back load memory tasks, including ive, 2-, and 3-back electroencephalography (EEG) and other neuroimaging techniques. A few studies used functional near-infrared signals (fNIRS) to analyze asymmetry during cognitive load. This study examined the hemodynamic response asymmetry in the PFC area during N-back load memory tasks, including 1-, 2-, and 3-back. The investigation results show that the asymmetry index value fluctuates as the level of memory load rises. In particular, the 1-back task's positive asymmetry index value (M = 0.2761,SD = 0.4139) suggested that left-hemisphere activity was more remarkable than right-hemisphere activation. The asymmetry index, on the other hand, revealed a negative value of (M = - 0.2105,SD= 0.4252) and (M = - 0.3665,SD = 1.2472) for the 2-back and 3-back memory tasks, respectively, indicating that the right hemisphere experienced a more significant increase in Hbo activation than the left.</dc:description>
</item>
<item>
<title>Study of the Acute Stress Effects on Decision Making Using Electroencephalography and Functional Near-Infrared Spectroscopy: A Systematic Review</title>
<link>http://hdl.handle.net/10985/25122</link>
<description>Study of the Acute Stress Effects on Decision Making Using Electroencephalography and Functional Near-Infrared Spectroscopy: A Systematic Review
ABDALHADI, Abdualrhman; KOUNDAL, Nitin; YUSOFF, Mohd Zuki; AL-QURAISHI, Maged S.; MERIENNE, Frédéric; SAAD, Naufal M.
This systematic review provides a comprehensive analysis of studies that use electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to investigate how acute stress affects decision-making processes. The primary goal of this systematic review was to examine the influence of acute stress on decision making in challenging or stressful situations. Furthermore, we aimed to identify the specific brain regions affected by acute stress and explore the feature extraction and classification methods employed to enhance the detection of decision making under pressure. Five academic databases were carefully searched and 27 papers that satisfied the inclusion criteria were found. Overall, the results indicate the potential utility of EEG and fNIRS as techniques for identifying acute stress during decision-making and for gaining knowledge about the brain mechanisms underlying stress reactions. However, the varied methods employed in these studies and the small sample sizes highlight the need for additional studies to develop more standardized approaches for acute stress effects in decision-making tasks. The implications of the findings for the development of stress induction and technology in the decision-making process are also explained.
</description>
<pubDate>Thu, 11 Apr 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/25122</guid>
<dc:date>2024-04-11T00:00:00Z</dc:date>
<dc:creator>ABDALHADI, Abdualrhman</dc:creator>
<dc:creator>KOUNDAL, Nitin</dc:creator>
<dc:creator>YUSOFF, Mohd Zuki</dc:creator>
<dc:creator>AL-QURAISHI, Maged S.</dc:creator>
<dc:creator>MERIENNE, Frédéric</dc:creator>
<dc:creator>SAAD, Naufal M.</dc:creator>
<dc:description>This systematic review provides a comprehensive analysis of studies that use electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to investigate how acute stress affects decision-making processes. The primary goal of this systematic review was to examine the influence of acute stress on decision making in challenging or stressful situations. Furthermore, we aimed to identify the specific brain regions affected by acute stress and explore the feature extraction and classification methods employed to enhance the detection of decision making under pressure. Five academic databases were carefully searched and 27 papers that satisfied the inclusion criteria were found. Overall, the results indicate the potential utility of EEG and fNIRS as techniques for identifying acute stress during decision-making and for gaining knowledge about the brain mechanisms underlying stress reactions. However, the varied methods employed in these studies and the small sample sizes highlight the need for additional studies to develop more standardized approaches for acute stress effects in decision-making tasks. The implications of the findings for the development of stress induction and technology in the decision-making process are also explained.</dc:description>
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