• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.69
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• pp.51-64
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• 2001

A laboratory experiment was conducted to investigate the effects of working posture. work/rest ration, and task type on the physical workload in automobile assembly jobs. Ten healthy male university students participated as subjects in the experiment. East subject performed 18 experimental session with combination of 3 working posture 3 work/rest ratio and 2 task types. To examine the effect of various working conditions on workload, DMG analysis was performed on 4 different muscles in the neck an arm area, Also RPE scale and heart rate were taken as response variables. The result showed that all working conditions considered in the experiment had significant effects on the workload concluding that labor intensity in auto assembly jobs should be adjusted with respect to different levels of working posture, work/rest ratio, and task type. Detailed analysis are presented in the paper.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.250-256
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• 2024

This study aims to examine the impact of perceived control on individuals' state boredom. We hypothesized that perceived control is negatively correlated with state boredom and is anticipated to be a significant predictor of state boredom after controlling for pre-task boredom. An experiment was conducted with 98 university students. All participants engaged in an identical task designed to induce boredom, with only participants in the experimental group given a choice during the task to enhance their perceived control. Correlational analysis revealed a significant negative relationship between perceived control and state boredom. Hierarchical regression analysis demonstrated that perceived control remained a significant predictor of post-task boredom even after controlling for pre-task boredom. The study concludes with a discussion of the limitations, the implications of the findings, and suggestions for future research.

• Journal of Gifted/Talented Education
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• v.21 no.4
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• pp.961-977
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• 2011

The purpose of this study was to investigate the relationship between learning motivation and task commitment and find sub factors of learning motivation that affect task commitment. For this study 30 science gifted student (4th and 5th grade in elementary school) participated. The survey instruments used for this study were Academic Motivation Scale and Task Commitment Scale. The statistical methods employed for data analysis were the correlation analysis and multiple regression analysis. The result of this study were as follows: First, the learning motivation and task commitment of science gifted students showed similar levels. But there was differences of strength each sub factors of learning motivation and task commitment. Second, there was a significant positive correlation between learning motivation and task commitment. Also, learning motivation has the explanatory power of predictive variable for the task commitment approximately 49.3%. Expecially learning motivation has significant positive correlation with responsibility and self-control that sub factors of task commitment. Among the sub factor of learning motivation, confidence has most correlations with sub factors of task commitment and significant impact on task commitment. This result indicate that we need to develop learning motivation to improve task commitment and especially develop learning motivation program to grow up confidence of science-gifted.

• Journal of the Ergonomics Society of Korea
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• v.32 no.1
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• pp.59-68
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• 2013

Objective: The purpose of this paper is to introduce a task complexity model combining task design aspects and complexity dimensions and to explain an approach to identifying and organizing task complexity factors based on the model. Background: Task complexity is a critical concept in describing and predicting human performance in complex systems such as nuclear power plants(NPPs). In order to understand the nature of task complexity, task complexity factors need to be identified and organized in a systematic manner. Although several methods have been suggested for identifying and organizing task complexity factors, it is rare to find an analytical approach based on a theoretically sound model. Method: This study regarded a task as a system to be designed. Three levels of design ion, which are functional, behavioral, and structural level of a task, characterize the design aspects of a task. The behavioral aspect is further classified into five cognitive processing activity types(information collection, information analysis, decision and action selection, action implementation, and action feedback). The complexity dimensions describe a task complexity from different perspectives that are size, variety, and order/organization. Combining the design aspects and complexity dimensions of a task, we developed a model from which meaningful task complexity factors can be identified and organized in an analytic way. Results: A model consisting of two facets, each of which is respectively concerned with design aspects and complexity dimensions, were proposed. Additionally, twenty-one task complexity factors were identified and organized based on the model. Conclusion: The model and approach introduced in this paper can be effectively used for examining human performance and human-system interface design issues in NPPs. Application: The model and approach introduced in this paper could be used for several human factors problems, including task allocation and design of information aiding, in NPPs and extended to other types of complex systems such as air traffic control systems as well.

• Quality Improvement in Health Care
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• v.21 no.2
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• pp.40-56
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• 2015

Objectives: To outline overall duties of quality improvement (QI) performers within a health care organization, thus describing their key tasks, including task element-related frequency, importance and difficulty in enough detail. Methods: A DACUM (Developing A CurriculUM) workshop took place to outline overall job activities of QI performers. To examine the scope of their duty and task, we performed a questionnaire survey of 338 QI performers from 111 hospitals. Results: The results of our survey showed that for the task assigned to each QI performer, there were 10 duties, 31 tasks and 119 task elements. Respondents cited a project planning as the most frequent/important duty, and a research was the highest level of difficulty in their duty. They also said that the most frequent task was index management, the most important task was a business plan, and the highest level of difficulty was a practical application of QI research. QI performers added that the most frequent task element was receipt of patient safety reporting in patient safety system, the most important task element was an analysis for patient safety and its improvement, and the highest level of difficulty was a regional influence analysis related to the patient safety and its improvement. Conclusion: To ensure that QI performers play a pivotal role as a manager to better improve patient safety and the quality of health care services, proper training program for them should be developed by reflecting the results of our study.

• Journal of Biomedical Engineering Research
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• v.27 no.6
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• pp.323-331
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• 2006

The purpose of this study was to investigate the effect of performing a cognitive task during treadmill walking on the stride rate variability. Ten university students(age $24.0{\pm}0.25$, height $172{\pm}3.1cm$, weight $66{\pm}5.3kg$) were participated in dual task experiments which consist of both walking alone and walking with a cognitive task. Two-back task was selected for the cognitive task since it did not have learning effect during the experimental procedure.3D motion analysis system was used to measure subject's position data by changing walking speed with 4.8, 5.6, 6.4, 6.8, and 7.2 km/hr. Stride rate was calculated by the time between heel contact and heel contact. Accuracy rate of a cognitive task during walking, coefficient of variance, allometric scaling methods and Fano factor were used to estimated the stride rate variability. As the walking speed increased, accuracy rate decreased and the logarithmic value of Fano factor increased which showed the statistical difference. Thus it can be concluded that the gait control mechanism is distracted by the secondary attention focus which is the cognitive task ie. two-back task. Further study is needed to clarify this by increasing the number of subject and experiment time.

• Journal of the Korean Society of Safety
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• v.18 no.2
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• pp.104-118
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• 2003

It has been criticized that conventional human reliability analysis (HRA) methodologies for probabilistic safety assessment (PSA) have been focused on the quantification of human error probability (HEP) without detailed analysis of human cognitive processes such as situation assessment or decision-making which are crticial to successful response to emergency situations. This paper introduces a new human reliability analysis (HRA) methodology, AGAPE-ET (A guidance And Procedure for Human Error Analysis for Emergency Tasks), focused on the qualitative error analysis of emergency tasks from the viewpoint of the performance of human cognitive function. The AGAPE-ET method is based on the simplified cognitive model and a taxonomy of influencing factors. By each cognitive function, error causes or error-likely situations have been identified considering the characteristics of the performance of each cognitive function and influencing mechanism of PIFs on the cognitive function. Then, overall human error analysis process is designed considering the cognitive demand of the required task. The application to an emergency task shows that the proposed method is useful to identify task vulnerabilities associated with the performance of emergency tasks.

• Journal of The Korean Society of Integrative Medicine
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• v.5 no.2
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• pp.51-62
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• 2017

Purpose : The purpose of this study was to identify the difference in roles between administrative staff and head resident officer in a university. In health care service design, the DACUM has been used to understand relationships between nurses and nurses' aides. Methods : Administrative staff and head resident officer's jobs were analyzed using DACUM. We organized a DACUM committee and workshop. The committee comprised of six members discussed their roles, duties, and task elements. Result : The DACUM for administrative staff consisted of 8 duties and 30 task elements, and for the head resident officer it consisted of 8 duties and 23 task elements. Conclusion : In conclusion, the role of the administrative staff and head resident is similar but different in terms of task elements. To increase job efficiency, it is important to separate roles and responsibilities in the job.

• Journal of Agricultural Extension & Community Development
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• v.26 no.2
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• pp.57-68
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• 2019

This paper was done as an exploratory study aiming to identify the relationship between small group characteristic factors and perceived performance in the Village Development Committee (VDC) in Saemaul Undong project in Laos. The data were gathered from 166 members in 17 VDCs in Vientian province, however 135 questionnaires were used in analysis. Structure Equation Model was applied in the analysis with Amos 21. The major finding of this study were as follows; firstly decision making was more influenced by task cohesion than social cohesion, secondly organizational citizen behavior was influenced by both task cohesion and social cohesion. However, social cohesion had more influence than task cohesion, thirdly the VDC members learned their technical knowledge from decision-making process, and influenced to their perceived performance level and to VDC sustainablity, and fourthly in overall, committee members implemented their jobs based on task-oriented.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.7-8
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• 2019

In this paper, we applied the migration technique to real-time tasks that have relatively low criticality but still important to be dropped by the mixed-criticality scheduling algorithms. The proposed drop and migrate algorithm analyzes the schedulability by calculating CPU utilization and response time of using task migration. We provide analysis to guarantee the deadline of LO-tasks, by transforming the response time equation specified with migration time. The transformed response time equation was able to analyze the migration schedulability. This algorithm can be used with various mixed-criticality schedulers as a supplementary method. We expect this algorithm will be used for scheduling LO-tasks such as communication task that requires safety guarantee especially in platooning and autonomous driving by utilizing the advantages of multiple node connectivities.