• Nuclear Engineering and Technology
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• v.45 no.2
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• pp.151-164
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• 2013

A key input for the assessment of Human Error Probabilities (HEPs) with Human Reliability Analysis (HRA) methods is the evaluation of the factors influencing the human performance (often referred to as Performance Shaping Factors, PSFs). In general, the definition of these factors and the supporting guidance are such that their evaluation involves significant subjectivity. This affects the repeatability of HRA results as well as the collection of HRA data for model construction and verification. In this context, the present paper considers the TAsk COMplexity (TACOM) measure, developed by one of the authors to quantify the complexity of procedure-guided tasks (by the operating crew of nuclear power plants in emergency situations), and evaluates its use to represent (objectively and quantitatively) task complexity issues relevant to HRA methods. In particular, TACOM scores are calculated for five Human Failure Events (HFEs) for which empirical evidence on the HEPs (albeit with large uncertainty) and influencing factors are available - from the International HRA Empirical Study. The empirical evaluation has shown promising results. The TACOM score increases as the empirical HEP of the selected HFEs increases. Except for one case, TACOM scores are well distinguished if related to different difficulty categories (e.g., "easy" vs. "somewhat difficult"), while values corresponding to tasks within the same category are very close. Despite some important limitations related to the small number of HFEs investigated and the large uncertainty in their HEPs, this paper presents one of few attempts to empirically study the effect of a performance shaping factor on the human error probability. This type of study is important to enhance the empirical basis of HRA methods, to make sure that 1) the definitions of the PSFs cover the influences important for HRA (i.e., influencing the error probability), and 2) the quantitative relationships among PSFs and error probability are adequately represented.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.291-292
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• 2023

In line with the advent of the 4th industrial revolution, project performance such as construction productivity and safety is being improved through the use of various smart technologies in construction projects. However, most studies focus on case analysis according to technology application, and research on performance impact and evaluation methods is insufficient. However, the performance impact of the use of smart construction technology can vary greatly depending on the capabilities and level of support of the organization using the technology. Therefore, this study aims to establish factors that affect the performance of smart construction technology utilization at the organizational level and analyze the performance impact relationship. The results of this study will provide the basis for establishing an organizational system and evaluating performance for the efficient use of smart construction technology in the future.

• Journal of the Korean Society of School Health
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• v.21 no.1
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• pp.1-9
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• 2008

Purpose : To investigate the degree of apearance satisfaction, self-es teem and school maladjustment and the corelation among the three variables in elementary, middle and high school student. Method : The subject of this study was total 878 students of elementar y, midle, and high schol in Seoul. The data were collected through a sel f-administered questionaire f rom June, 18 to June, 29, 2007. Results : The mean of apearance satisfaction was 29.8. Apearance sati according to school, presence of parents, academic performance, and the number of friend. The mean of self-estem was 77.9. Self-esteem showed significant diferences according to grade, academic performance, and the number of friend. The mean of school maladjustment was 54.3. School maladjustment gender, academic performance, and the number of friend. In the corelation among three variables, there was a positive corelation betwen apearance satisfaction and self-esteem but there was a negative corelation betwen appearance satisfaction and school maladjustment, and also a negative corr multiple linear regresion analysis to investigate influencing factor on schol maladjustment, apearance satisfaction and self-estem were significant variables. Conclusion : We should make regular education program and provide students through school classes which help from their parents.

• Journal of Distribution Science
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• v.17 no.8
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• pp.35-44
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• 2019

Purpose - This study examines the changes in the mobile MMORPG market in recent years and the factors affecting the performance of mobile games through flow experience according to the characteristics of game content. Research design, data, and methodology - This study focuses on the fact that the cause of game use behavior changes is the flow experience which influences the duration of mobile game continuation. The flow experience and the influencing factors are divided into the relationship between first, second-leading factors, and lagged factors. Results - The user's sense of challenge, skillfulness, concentration, and reality influenced the flow experience as a leading factor influencing the performance of MMORPG games. On the other hand, fun and preference were found to be the outcomes of the flow experience. This is because the game content is experienced not through passive enjoyment but by intentionally enjoying the game content. The flow experience has a positive effect on the intention of continuous use as in the previous study. Conclusions - This study found that the flow experience of game users is necessary for continuous use by organizing relationships of flow experience in mobile MMORPG users' gaming behavior.

• Journal of the Korean School Mathematics Society
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• v.15 no.3
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• pp.487-509
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• 2012

This study, in order to contribute to improvement of the affective domain for mathematics which is one of the largest issues of mathematics education, examined the background variables influencing mathematics anxiety of middle/high school students. As the result, the middle school students showed a greater level of anxiety than the high school students did, and especially the anxiety level according to environment factor and learning strategy factor was high. Also, male students showed overall a greater mathematics anxiety than female students did, and both group of students showed a higher anxiety level according to environment factor and learning strategy factor. Besides, the greater the time spent on private education was, the higher the mathematics anxiety level, and in test/performance factor, the group with low self-initiated learning time showed a higher level of mathematics anxiety compared to other two groups. Among four subfactors of mathematics anxiety test, the students overall scored lowest in anxiety for test/performance factor, and highest in environment factor.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.3
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• pp.29-47
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• 2024

Many domestic and foreign studies derive factors that significantly affect the use of shared E-scooters based on performance data, but few studies have been conducted with comparative analysis models using predictive power, applying them to other regions. Therefore, by clearly establishing detailed influencing factors and scope in Gwangjin-gu and Gangnam-gu by using domestic shared E-scooter performance data, this study enhances predictive power, and the Geographically Weighted Regression model is derived through spatial autocorrelation verification. Based on the results, the direction of a construction model created from regional differences was presented, and major implications from the user's perspective are derived based on the difference between actual use and the model's prediction.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.3
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• pp.310-319
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• 2012

Purpose: The purpose of this study was to analyze emotional labor factors influencing job satisfaction, intent to leave, and nursing performance of clinical nurses. Method: The participants were 384 clinical nurses working in a hospital. Study design was cross sectional survey. Subcategories of emotional labor (frequency of emotional labor, attentiveness of emotional display, mismatch of emotions) of emotional labor were dependent variables. Job satisfaction, intent to leave, and nursing performance were independent variables. Data were analyzed by hierarchial multiple regression. Results: The strength of emotional labor of nurses was similar for all participants in spite of differences in age, position, and clinical career. Total score for emotional labor was 3.21, frequency of emotional labor 3.34, attentiveness of emotional display 3.41, and mismatch of emotions 2.87. Mismatch of emotions influenced job satisfaction (F=12.53, p<.001) $R^2$ 27%, intent to leave (F=8.51, p<.001) $R^2$ 19%, and nursing performance (F=5.80, p<.001) $R^2$ 15%, Conclusion: These findings indicate that the factor (mismatch of emotion) is an important variable for clinical nurses in human resource management. Therefore, nurse managers should consider this factor for the improvement of organizational effectiveness.

• Journal of Information Technology Applications and Management
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• v.26 no.6
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• pp.29-46
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• 2019

This study analyzed the factors influencing the technology acceptance of the general public in the drones and ARs, one of the key technologies of the industry 4.0. The theoretical basis was the extended unified theory of acceptance and use of technology model(UTAUT2), which uses performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation as factors common to both services. The price value factor was excluded considering that most ARs were free, and the perceived risk factors, including privacy, which were not in UTAUT2, were included because they are important factors for ICT technology acceptance. The hypothesis was tested by structure equation model. Social influence and hedonic motivation had a positive(+) effect on intention to use technology. On the other hand, in the case of effort expectancy, neither the AR nor the drone had a significant influence on intention to use technology. Furthermore, performance expectancy had a positive(+) effect on intention to use in AR, but no significant influence was found out in drones. On the contrary, in the case of the facilitating conditions, the influence of the drones was positive (+), but the relation of AR was not investigated. The perceived risk was tested for the negative (-) influence of use intention of AR, but no significant relationship was found out for the drones. Among the significant influencing factors, hedonic motivation was the most powerful factor in AR and drones. Theoretical and practical implications are presented based on these results.

• Journal of Embryo Transfer
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• v.25 no.1
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• pp.57-66
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• 2010

The conception rate of cow is a major factor in farm management. The environment of farm and management of cow are the best influencing factors on conception rate, and the fertility of bull is the second influencing factor. In Hanwoo bull, however, the informations limited to performance and carcass traits have been offered to Hanwoo farmer. Therefore, this study analysed the estimated relative conception rates (ERCR) for estimation of fertility of bulls, using the 8,892 mating data with 116 heads of prove bull to produce progeny. Mean of least square means of conception rate after first insemination was 50.95% in bull herds. On the standard of this mean, ERCRs after first insemination of each bull were analysed. Values ranged from -26.1% to +21.0%, the difference was 47.1%. Among 116 heads of bull analysed, KPN582 showed the highest ERCR as 21.0%, KPN550 (18.3%), KPN656 (16.7%), KPN632 (15.8%), KPN690 (14.9%) were gone behind, but KPN621 was the lowest as -26.1%, KPN680 (-21.3%), KPN674 (-16.2%), KPN569 (-15.9%), KPN699 (-14.9%) were succeeded. If ERCRs of Hanwoo bull will be offered to Hanwoo farmer, it will be worthwhile.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.281-284
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• 2008

Performance evaluation exposing the performance of structure is affected by the material and structural characteristics. these should be necessary for the analysis about the effect of structure performance. Thus, to evaluate the structural performance affected the material properties and structural characteristics, firstly it is conducted the eigenvalues analysis and non-linear static analysis of the structure, secondly it is analyzed the performance influence factor of the structure. The performance influence factors affecting the performance of structure divided into five classes(strength of concrete, longitudinal and transverse reinforcement, aspect ratio, axial force). From the result of analysis about the change of performance influence factor, the more the strength of concrete is increasing, the more the maximum shear force is increasing and the yield displacement is not changed, the more longitudinal reinforce is increasing, the more yield displacement and the maximum basis shear force is increasing, the more the transverse reinforce is increasing, the change of maximum basis shear force is trivial. The yield displacement of structure is increasing and the maximum basis shear force is decreasing by increasing the aspect ratio, the more the axial force increases, the more yield displacement and maximum basis shear force decease.