• Journal of the Korean Society of School Health
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• v.19 no.1
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• pp.79-88
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• 2006

Purpose : To identify general characteristics of school personnel with recent fatigue which was the most frequent symptom among subjective symptoms and to explore fatigue-related factors by evaluating physical and perceived health status, life style, and symptoms through data mining techniques. Methods : We collected a data of the 1,147(male 545, female 602) who were elementary, middle, or high school personnel, answered a questionnaire, and received physical examination in Seoul School Health Center from September to November in 2000. And we investigated the differences between fatigue group and non-fatigue group for demographic characteristics, physical health status, perceived health status, symptoms, and laboratory values by frequency, chi-square test, t-test, or simple logistic regression analysis by SAS package 8.1, and then selected significant variables as input variables of a decision tree analysis of CART model by SAS E-miner. Results : In general characteristics, the fatigue consisted of 41.1%(male 35.2%, female 46.4%) among 1,147 school personnel. In classical statistics, factors related with fatigue were female, lower means of systolic and diastolic pressure, young age, personnel in middle school, irregular eating habit, no exercise a week or less than 30minutes exercise a day, perception of unhealthy status, and subjective symptoms including short of breath at exercise. In simple logistic regression to examine the relationship between selected independent variables and fatigue as a dependent variable, the odds ratio of gender (female vs male) was 1.58 times, and young age ( 20s vs 60s) 20.67 times, and middle vs high school personnel 1.86 times. However, we mined combined several characteristics by SAS-E miner. In CART model, if health perception was healthy, and age was >= 37.5 years, the proportion of the fatigue was only 19.3%. but if health perception was not healthy and symptom was severe 'short of breath' during exercise and age was < 53.5 years, and BMI was >= 22.69, the proportion of the fatigue was up to 84.8%. Conclusions : The fatigue consisted of 41.1%(male 35.2%, female 46.4%). In classical statistics, fatigue-related factors among school personnel were young age, female gender, perceived unhealthy status, subjective physical symptoms, poor life-style, and lower blood pressure rather than only physical health status. However, in data mining, if health perception was healthy and age was >= 37.5 years, the proportion of the fatigue was only 19.3%. but if health perception was not healthy and symptom was severe 'short of breath' during exercise and age was < 53.5 years, and BMI was >= 22.69, the proportion of the fatigue was up to 84.8%.

• Journal of the Ergonomics Society of Korea
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• v.36 no.4
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• pp.293-303
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• 2017

Objective: This study aims to evaluate visual discomfort and visual fatigue caused by watching HMD and smartphones by conducting both subjective and objective measure. Background: With the rapid development of mobile Head-Mounted Display (HMD), the problem of visual discomfort and visual fatigue caused by watching Virtual Reality (VR) contents became a crucial concern for consumers and manufacturers, especially given that the casing of mobile HMD keeps the phone at a specified distance from the lenses that is close to the eyes. Method: Two smartphones were chosen for a preliminary study: LG G5 and Galaxy S7. As for a main study, iPhone 6S and Galaxy S7 were used. After being exposed to the selected clips, participants were asked to answer Simulator Sickness Questionnaire (SSQ) and went through optometric tests that measure tear break-up time, spherical equivalent, and contrast sensitivity. Results: The subjective assessments indicate that HMD causes more visual discomfort compared to watching a smartphone. Furthermore, the experimental result confirms that watching a HMD causes more eye dryness compared to smartphones. Conclusion: The result of the study compared visual discomfort and visual fatigue of two different displays, HMD and smartphone, and confirmed that watching HMD causes more visual discomfort and visual fatigue. Application: Ultimately, this study could help manufacturers understand the strengths and weaknesses of different display forms, providing guidance for an effective application of HMD.

• The Korean Journal of Emergency Medical Services
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• v.16 no.2
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• pp.31-41
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• 2012

Purpose : The purpose of the present study is to analyze the accuracy and fatigue felt by lay persons receiving CPR training when they perform hands only CPR (HOCPR) and traditional CPR (TCPR). The performance of CPR data will provide the criteria of dispatcher guidelines for the general public. Methods : For 2 minutes duration, HOCPR was conducted by 51 subjects and TCPR was conducted by 48 subjects. The accuracy measurement of chest compressions was based on the 2010 AHA guideline; the subjective fatigue level in before and after experiment was measured by a self-administered questionnaire. Results : There were no significant differences between the average depth, chest compression depth and chest compression location in terms of chest compression accuracy. However, there were significant differences between the two experimental groups in the accuracies for average speed and chest compression speed. The subjective fatigue level showed no significant difference. Conclusion : The experimental group performing HOCPR showed more accurate compression speed and lower fatigue level. These results suggested that HOCPR would be more effective in training the lay persons in accordance with the voice-instructed CPR.

• Safety and Health at Work
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• v.12 no.4
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• pp.462-470
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• 2021

Background: Fatigue is pervasive, under-reported, and potentially deadly where flight operations are concerned. The aviation industry appears to lack a standardized, practical, and easily replicable protocol for fatigue risk assessment which can be consistently applied across operators. Aim: Our paper sought to present a framework, supported by real-world data with subjective and objective parameters, to monitor aircrew fatigue and performance, and to determine the safe crew configuration for commercial airline operations. Methods: Our protocol identified risk factors for fatigue-induced performance degradation as triggers for fatigue risk and performance assessment. Using both subjective and objective measurements of sleep, fatigue, and performance in the form of instruments such as the Karolinska Sleepiness Scale, Samn-Perelli Crew Status Check, Psychomotor Vigilance Task, sleep logs, and a wearable actigraph for sleep log correlation and sleep duration and quality charting, a workflow flagging fatigue-prone flight operations for risk mitigation was developed and trialed. Results: In an operational study aimed at occupational assessment of fatigue and performance in airline pilots on a three-men crew versus a four-men crew for a long-haul flight, we affirmed the technical feasibility of our proposed framework and approach, the validity of the battery of assessment instruments, and the meaningful interpretation of fatigue and work performance indicators to enable the formulation of safe work recommendations. Conclusion: A standardized occupational assessment protocol like ours is useful to achieve consistency and objectivity in the occupational assessment of fatigue and work performance.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.741-747
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• 2022

Fatigue lowers an individual's ability and makes it difficult to perform work. As fatigue accumulates, concentration decreases and thus the possibility of causing a safety accident increases. Awareness of fatigue is subjective, but it is necessary to quantitatively measure the level of fatigue in the actual field. In previous studies, it was proposed to measure the level of fatigue by expert judgment by adding objective indicators such as bio-signal analysis to subjective evaluations such as multidisciplinary fatigue scales. However this method is difficult to evaluate fatigue in real time in daily life. This paper is a study on the fatigue classification model that determines the fatigue level of workers in real time using speech data recorded in the field. Machine learning models such as logistic classification, support vector machine, and random forest are trained using speech data collected in the field. The performance evaluation showed good performance with accuracy of 0.677 to 0.758, of which logistic classification showed the best performance. From the experimental results, it can be seen that it is possible to classify the fatigue level using speech signals.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.229-238
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• 2018

The purpose of this study is to examine the difference in the mediating effects of relief from fatigue through sleep and perceived subjective health in the relationship between perceived stress and subjective happiness in middle school students who attempted suicide. The analysis was conducted using Path analysis, the Bootstrapping method, Phantom variable and Multiple group analysis by AMOSS using the IBM SPSS 23 and IBM SPSS AMOS 23 programs with 820 middle school students who attempted suicide in the past 12 months using the raw data of the Korea Risk Behavior Web-Based Survey (2016). In the relationship between perceived stress and perceived subjective health, the indirect effect of relief from fatigue through sleep and perceived subjective health (${\beta}=-.12$, p=.003) was statistically significant. The difference in the magnitude of the two indirect effects was found to be greater for the subjective health status than for relief from fatigue through sleep (difference = .02, p=.028) and the effects were greater for the males (${\beta}=.44$, p <.001) than for the females (${\beta}=.23$, p<.001). Based on the findings, it is necessary to develop and apply an educational program that includes the factors that contribute to improving the happiness of middle school students.

• Safety and Health at Work
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• v.7 no.2
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• pp.124-129
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• 2016

Background: Work-related fatigue has a strong impact on performance and safety but so far, no agreed upon method exists to detect and quantify it. It has been suggested that work-related fatigue cannot be quantified with just one test alone, possibly because fatigue is not a uniform construct. The purpose of this study is therefore to measure work-related fatigue with multiple tests and then to determine the underlying factorial structure. Methods: Twenty-eight employees (mean: 36.11; standard deviation 13.17) participated in five common fatigue tests, namely, posturography, heart rate variability, distributed attention, simple reaction time, and subjective fatigue before and after work. To evaluate changes from morning to afternoon, t tests were conducted. For further data analysis, the differences between afternoon and morning scores for each outcome measure and participant (${\Delta}$ scores) were submitted to factor analysis with varimax rotation and each factor with the highest-loading outcome measure was selected. The ${\Delta}$ scores from tests with single and multiple outcome measures were submitted for a further factor analysis with varimax rotation. Results: The statistical analysis of the multiple tests determine a factorial structure with three factors: The first factor is best represented by center of pressure (COP) path length, COP confidence area, and simple reaction time. The second factor is associated with root mean square of successive difference and useful field of view (UFOV). The third factor is represented by the single ${\Delta}$ score of subjective fatigue. Conclusion: Work-related fatigue is a multidimensional phenomenon that should be assessed by multiple tests. Based on data structure and practicability, we recommend carrying out further studies to assess work-related fatigue with manual reaction time and UFOV Subtest 2.

• Science of Emotion and Sensibility
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• v.17 no.4
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• pp.3-18
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• 2014

In this study, drivers' longitudinal car control, subjective fatigue, and perceived fidelity were compared between 2D and 3D display driving simulation. The results can be summarized as followings. First, in all target speed conditions, the drivers tended to drove faster in 2D display condition than 3D display condition. Second, speed deviation from target speed increased as target speed decreased. Third, distances between the lead vehicle and the driver's vehicle were significantly reduced in the 3D display condition when the speeds of the lead vehicle were relatively fast(i. e., over 80km/h). Fourth, although the perceived fidelity was not significantly different between the two display conditions, subjective fatigue was higher in the 3D display condition than in the 2D display condition.

• Korean Journal of Otorhinolaryngology-Head and Neck Surgery
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• v.60 no.3
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• pp.99-106
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• 2017

Listening effort is defined as a listener's mental exertion required to understand a speaker's auditory message, especially when distracting conditions are present. This review paper analyzed several subjective scaling tools used to measure the listening effort in order to suggest the best tool for use with hearing-impaired listeners who have to expend much effort even in everyday life. We first explained the importance of measuring listening effort and discussed various kinds of measurements. We then analyzed and categorized 15 recently published articles (i.e., from 2014 to 2016) into three topics: performance and listening effort, listening effort and fatigue, and clinical implication of listening effort. We compared the articles in terms of pros and cons and also identified 10 tools for use in the subjective scaling. Although none of these tools were unified or standardized easily, we concluded that 7-point scale would be the most reasonable as a less time-consuming measurement for compartmentalizing the degree of listening effort. If used with objective tools for measuring the listening effort, the subjective scaling could be a powerful tool for clinical use.

• Journal of Korean Academy of Medicine & Therapy Science
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• v.10 no.2
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• pp.73-80
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• 2018

Objective: We developed an ergonomic pruning shears that allows the user to freely adjust the width of the grip and conducted this study to examine the effects of the pruning shears on grip strength and the fatigue of the fingers. Method: The maximum grip strength was first measured with an digital dynamometer, and the maximum grip strength was measured again after the subjects repeated scissoring 100 times using general pruning shears or ergonomic pruning shears. Borg's CR-10 scale was used to measure subjective fatigue after using the two pruning shears. Results: When the grip strength values after using the two pruning shears were compared with each other the mean grip strength after using ergonomic pruning shears was 27.69 kg, which was higher than that after using general pruning shears, 25.73 kg (p<.05). The subjective fatigue when the two pruning shears were used was shown to be 3.6 points for general pruning shears and 1.73 points for ergonomic pruning shears (p<.05). Conclusion: After repeating scissoring 100 times, the fatigue of the fingers was lower when ergonomic pruning shears were used than when general pruning shears were used and grip strength was higher when ergonomic pruning shears were used than when general pruning shears were used.