• 한국안전학회지
• /
• 제18권2호
• /
• pp.104-118
• /
• 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.

• 대한인간공학회지
• /
• 제14권1호
• /
• pp.25-35
• /
• 1995

For information processing tasks, it is an important cognitive skill to manipulate and store information, which is known as information intake. One of the tasks which greatly involve this skill would be a spreadsheet calculation task. In this study, a spreadsheet calculation task is analyzed by the cognitive task analysis based on the cognitive factors having been usef for a model of human information processing. By the results of the cognitive task analysis, the spreadsheet calculation tasks to be used in the experiments are designed and the testbattery of cognitive abilities assessment (CCAB ; complex cognitive asssessment battery) are selected. Then, the features of cognitive demands and a human performance model of the spreadsheet calculation task are suggested by means of correlation analysis, principal component factor analysis, and regression analysis of the results of the experiments on task performances and the assessment of cognitive abilities. Also, the application of the results of the study to job placement and further research issues are described.

• Journal of the Korean Data Analysis Society
• /
• 제20권6호
• /
• pp.2781-2792
• /
• 2018

From a cognitive perspective, this study investigates the role of emergent leaders in developing team cognition and affecting team performance. With application of the cognitive complexity theory, this study hypothesizes that emergent leaders' cognitive complexity will be positively associated with team cognitive complexity, and that team cognitive complexity will be positively associated with team performance. In addition, team cognitive complexity is hypothesized to mediate the effect of the cognitive complexity of emergent leaders on team performance. To test the research hypotheses, data were obtained from 100 teams comprising a total of 339 undergraduate students who participated in a business simulation game. The findings of this study suggests that the cognitive complexity of emergent leaders is a significant predictor of team cognitive complexity, and that team cognitive complexity is positively related to team performance. Moreover, team cognitive complexity significantly mediates the effect of emergent leaders' cognitive complexity and team performance.

• 품질경영학회지
• /
• 제23권3호
• /
• pp.69-83
• /
• 1995

In a large number of literature on of inspection tasks, one of the most consistent findings is the existence of large and consistent differences among inspectors. It is possible that the individual difference is described by the difference of cognitive skills, because cognitive skills are required more than manual skills in inspection tasks. Therefore, a set of cognitive factors in human information processing may underly human performance in inspection tasks. In this study, a cognitive skill was described as the relative importance of the cognitive factors involved. A hierarchical task analysis and a fuzzy hierarchical analysis were used to represent how the importance of cognitive factors contribute to inspection performance. An experiment was conducted using the computer simulations of PCB inspection tasks. The results revealed that the subject group with better performance showed the importance weights of cognitive factors in the following rank; (attention, perception, judgement, classification, recognition)<(detection)$\ll$(memory). The results of the experiment can serve as a selection criterion for efficient inspection performance and the information of skilled learning for an inspection training program. The usefullness of a hierarchical task analysis and a fuzzy hierarchical task analysis for the analysis of cognitive tasks are also confirmed.

• 대한통합의학회지
• /
• 제8권4호
• /
• pp.277-289
• /
• 2020

Purpose : This study aims to confirm the clinical usefulness of computerized cognitive therapy program for patients with brain diseases in Korea and to present basic data that can confirm the effectiveness of computerized cognitive therapy program to experts related to rehabilitation in the future. Methods : A systematic review and meta-analysis research method was used to confirm the clinical effectiveness of computerized cognitive therapy applied to patients with brain diseases in Korea. Based on the national institute of health and medical colleges association (NECA) systematic literature manual and preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines for conducting research through systematic review and meta-analysis methods. Systematic review was PICOST-SD was used to research and select papers. For meta-analysis, the data was input and analyzed separately by literature result using the revman manager 5.3 program and the results were presented visually through tables and forest, funnel plot figure. Results : As a result of comprehensive analysis of the contents of the finally selected literature, it as found that studies on stroke and dementia were mainly conducted. In addition, through the evaluation of the quality of the literature, most of the existing computerized cognitive therapy studies were identified as high-quality studies, but the results were insufficient for randomization and blinding. And through meta-analysis, the clinical effectiveness of computerized cognitive therapy on cognitive function, activities of daily living, and visual perception function of patients with brain disease was found. Conclusion : The research literature that applied computerized cognitive therapy to brain disease subjects was comprehensively analyzed and identified. It is thought that this could be used as basic data on the characteristics of cognitive therapy that should be applied to patients with brain diseases in the future and the usefulness of computerized cognitive therapy program in actual clinical practice.

• 한국안전학회지
• /
• 제16권3호
• /
• pp.117-124
• /
• 2001

This paper introduces m analysis framework and procedure for the support of the cognitive error analysis of emergency tasks in nuclear poler plants. The framework provides a new perspective in the utilization of influencing factors into error prediction. The framework can be characterized by two features. First, influencing factors that affect the occurrence of human error me classified into three groups, i.e., task characteristic factors(TCF), situation factors(SF), and performance assisting factors(PAF). This classification aims to support error prediction from the viewpoint of assessing the adequacy of PAF under given TCF and SF. Second, the assessment of influencing factors is made by each cognitive function. Through this, influencing factors assessment and error prediction can be made in an integrative way according to each cognitive function. In addition, it helps analysts identify vulnerable cognitive functions and error factors, and obtain specific nor reduction strategies. The proposed framework was applied to the error analysis of the bleed and feed operation of nuclear emergency tasks.

• International Journal of Advanced Culture Technology
• /
• 제9권1호
• /
• pp.143-151
• /
• 2021

This study was a cross-sectional descriptive research to analyze the effects of sub-factors of cognitive emotional control on happiness levels. The participants of the study were 201 men and women in their 20s, and data were collected online from January 1 to 15 collected data were, 2001 using structured cognitive control and happiness level questionnaires. The collected data were conducted Independent t-test, Pearson correlation analysis, simple regression analysis, multiple regression Analysis, hierarchical regression analysis using SPSS 18.0 statistic program. As a result, the study appeared that the level of happiness by gender does not differ, and cognitive emotional control affected 58.5%. The average of cognitive emotional control was higher for all men, but women were higher than men in criticized others. Also, acceptance was the sub-factor of emotional control that most affected the level of happiness (β=-.587, p<0.01). Based on the results of this study, it is suggested that a systematic program on subject of acceptance, a sub-factor of cognitive emotional control, should be developed to improve the level of happiness.

• 복식문화연구
• /
• 제23권6호
• /
• pp.940-954
• /
• 2015

The purpose of this study is to identify the antecedents of repurchase intention toward fast fashion brands. Perceived quality, perceived price, deindividuation, and overly trendy styles, which are product characteristic variables, and fashion innovativeness, which is a consumer characteristic variable, were considered as antecedents. It was hypothesized that product and consumer characteristics influence repurchase intention toward fast fashion brands not only directly, but also indirectly through cognitive dissonance. Data were gathered by surveying university students in Seoul using convenience sampling. Three hundred and fifty-two questionnaires were used in the statistical analysis. SPSS was used for exploratory factor analysis, and AMOS was used for confirmatory factor analysis and path analysis. The factor analysis of product characteristics revealed four dimensions: "perceived quality", "perceived price", "deindividuation", and "overly trendy styles", and the factor analysis of consumer characteristics revealed one dimension. The factor analysis of cognitive dissonance revealed two dimensions, "regrets" and "perceived uncertainty." The hypothesized path test proved that perceived quality, deindividuation, overly trendy styles, and fashion innovativeness influence repurchase intention directly. Perceived price and deindividuation influence repurchase intention indirectly through the factor of cognitive dissonance, which is the perceived uncertainty, indicating the importance of cognitive dissonance. The results indicate effective marketing strategies should be used to decrease consumers' cognitive dissonance, and suggestions for future study are provided.

• Journal of Information Technology Applications and Management
• /
• 제29권3호
• /
• pp.75-93
• /
• 2022

The purpose of this study is to compare and analyze each government's ICT SME support policies to cope with changes in the ICT ecosystem paradigm. In particular, the core policies and policy trends of the Moon's government are presented through keyword network analysis and cognitive map analysis. As a result, core technologies such as ICT(Information Communication Technology), AI(Artificial Intelligence), Big Data, and 5G, which have high values of betweenness centrality and closeness centrality, are major keywords with high propagation power. The cognitive map analysis shows that the opportunity factors for the 4th industrial revolution are being activated through the ICT infrastructure circulation process, the domestic market circulation process, and the global market circulation process. This study is meaningful in terms of cognitive map analysis and utilization based on scientific analysis.

• 대한의용생체공학회:의공학회지
• /
• 제43권4호
• /
• pp.185-192
• /
• 2022

Early detection of mild cognitive impairment can help prevent the progression of dementia. The purpose of this study was to design and validate a machine learning model that automatically differential diagnosed patients with mild cognitive impairment and identified cognitive decline characteristics compared to a control group with normal cognition using resting-state quantitative electroencephalogram (qEEG) with eyes closed. In the first step, a rectified signal was obtained through a preprocessing process that receives a quantitative EEG signal as an input and removes noise through a filter and independent component analysis (ICA). Frequency analysis and non-linear features were extracted from the rectified signal, and the 3067 extracted features were used as input of a linear support vector machine (SVM), a representative algorithm among machine learning algorithms, and classified into mild cognitive impairment patients and normal cognitive adults. As a result of classification analysis of 58 normal cognitive group and 80 patients in mild cognitive impairment, the accuracy of SVM was 86.2%. In patients with mild cognitive impairment, alpha band power was decreased in the frontal lobe, and high beta band power was increased in the frontal lobe compared to the normal cognitive group. Also, the gamma band power of the occipital-parietal lobe was decreased in mild cognitive impairment. These results represented that quantitative EEG can be used as a meaningful biomarker to discriminate cognitive decline.