Effect of Mental Workload Related Stress on Physiological Signals

2021 ◽  
Author(s):  
Roha Riaz ◽  
Nuzhat Naz ◽  
Mnahil Javed ◽  
Farhat naz ◽  
Hamza Toor
Keyword(s):  
Mental Workload ◽  
Physiological Signals ◽  
Related Stress

scholarly journals Classification of Drivers' Workload Using Physiological Signals in Conditional Automation

2021 ◽  
Vol 12 ◽  
Author(s):  
Quentin Meteier ◽  
Marine Capallera ◽  
Simon Ruffieux ◽  
Leonardo Angelini ◽  
Omar Abou Khaled ◽  
...  
Keyword(s):  
Secondary Task ◽  
Time Window ◽  
Mental Workload ◽  
Cognitive Task ◽  
Physiological Signals ◽  
Machine Learning Techniques ◽  
Physiological Data ◽  
Automated Driving ◽  
Physiological Indicators ◽  
High Level

The use of automation in cars is increasing. In future vehicles, drivers will no longer be in charge of the main driving task and may be allowed to perform a secondary task. However, they might be requested to regain control of the car if a hazardous situation occurs (i.e., conditionally automated driving). Performing a secondary task might increase drivers' mental workload and consequently decrease the takeover performance if the workload level exceeds a certain threshold. Knowledge about the driver's mental state might hence be useful for increasing safety in conditionally automated vehicles. Measuring drivers' workload continuously is essential to support the driver and hence limit the number of accidents in takeover situations. This goal can be achieved using machine learning techniques to evaluate and classify the drivers' workload in real-time. To evaluate the usefulness of physiological data as an indicator for workload in conditionally automated driving, three physiological signals from 90 subjects were collected during 25 min of automated driving in a fixed-base simulator. Half of the participants performed a verbal cognitive task to induce mental workload while the other half only had to monitor the environment of the car. Three classifiers, sensor fusion and levels of data segmentation were compared. Results show that the best model was able to successfully classify the condition of the driver with an accuracy of 95%. In some cases, the model benefited from sensors' fusion. Increasing the segmentation level (e.g., size of the time window to compute physiological indicators) increased the performance of the model for windows smaller than 4 min, but decreased for windows larger than 4 min. In conclusion, the study showed that a high level of drivers' mental workload can be accurately detected while driving in conditional automation based on 4-min recordings of respiration and skin conductance.

scholarly journals Assessment of mental workload based on multi-physiological signals

2020 ◽  
Vol 28 ◽  
pp. 67-80 ◽  
Author(s):  
Xiaoli Fan ◽  
Chaoyi Zhao ◽  
Xin Zhang ◽  
Hong Luo ◽  
Wei Zhang
Keyword(s):  
Mental Workload ◽  
Physiological Signals

Risk Factors and Mediators of Suicidal Ideation Among Korean Adolescents

Crisis ◽  
2018 ◽  
Vol 39 (1) ◽  
pp. 4-12 ◽  
Author(s):  
Yi Jin Kim ◽  
Sung Seek Moon ◽  
Jang Hyun Lee ◽  
Joon Kyung Kim
Keyword(s):  
High School Students ◽  
Suicidal Ideation ◽  
Structural Equation ◽  
Equation Modeling ◽  
Outcome Variable ◽  
Suicidal Behaviors ◽  
Thwarted Belongingness ◽  
Perceived Burdensomeness ◽  
Korean Adolescents ◽  
Related Stress

Abstract. Background: A significant number of Korean adolescents have suicidal ideations and it is more prevalent among adolescents than any other age group in Korea. Aims: This study was conducted to attain a better understanding of the contributing factors to suicidal ideation among Korean adolescents. Method: We recruited 569 high school students in Grades 10 and 11 in Pyeongtaek, Korea. The Beck Scale for Suicidal Ideation was used to measure suicidal ideation as the outcome variable. The Interpersonal Needs Questionnaire, the Beck Hopelessness Scale, the School Related Stress Scale, the Olweus Bully/Victim Questionnaire, and the Youth Risk Behavior Surveillance questions were used to measure thwarted belongingness and perceived burdensomeness, hopelessness, school-related stress, bullying, and previous suicidal behaviors, respectively. Data analyses included descriptive statistics and structural equation modeling. Results: The findings suggest that perceived burdensomeness, hopelessness, school-related stress, and previous suicidal behaviors have significant direct effects on suicidal ideation. Hopelessness fully mediated the relation between thwarted belongingness and suicidal ideation, and partially mediated between perceived burdensomeness, school-related stress, and suicidal ideation. Conclusion: These findings provide more specific directions for a multidimensional suicide prevention program in order to be successful in reducing suicide rates among Korean adolescents.

Short Stress State Questionnaire

2015 ◽  
Vol 31 (1) ◽  
pp. 20-30 ◽  
Author(s):  
William S. Helton ◽  
Katharina Näswall
Keyword(s):  
Stress State ◽  
Factor Structure ◽  
Human Performance ◽  
Self Report ◽  
Confirmatory Factor ◽  
Stress States ◽  
Related Stress ◽  
Using Data ◽  
Task Conditions ◽  
Multiple Samples

Conscious appraisals of stress, or stress states, are an important aspect of human performance. This article presents evidence supporting the validity and measurement characteristics of a short multidimensional self-report measure of stress state, the Short Stress State Questionnaire (SSSQ; Helton, 2004 ). The SSSQ measures task engagement, distress, and worry. A confirmatory factor analysis of the SSSQ using data pooled from multiple samples suggests the SSSQ does have a three factor structure and post-task changes are not due to changes in factor structure, but to mean level changes (state changes). In addition, the SSSQ demonstrates sensitivity to task stressors in line with hypotheses. Different task conditions elicited unique patterns of stress state on the three factors of the SSSQ in line with prior predictions. The 24-item SSSQ is a valid measure of stress state which may be useful to researchers interested in conscious appraisals of task-related stress.

Treating Work-Related Stress in Professionals Who Heal

PsycCRITIQUES ◽  
2007 ◽  
Vol 52 (33) ◽  
Author(s):  
Barry Schneider ◽  
Angela Kuemmel
Keyword(s):  
Work Related Stress ◽  
Work Related ◽  
Related Stress
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