• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.38-48
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• 2017

Finding causes of workers' unsafe behaviors is important to prevent construction accidents because 80 percent of accidents occur by workers' unsafe behaviors. In this regard, this research aims to investigate possible reasons of workers' unsafe behaviors based on workers' cognitive process model using System dynamics. This study is based on two ways of workers' cognitive process which are in relation to hazard perception and failure of hazard perception. Based on existing literature, causal loops for workers' cognitive process are developed to explain workers' habituation by staying out of accidents, safety learning by experience, failure of hazard perception, and attitude change by accidents. The interactions between the developed loops provide managerial insights to reduce workers' unsafe behaviors from a safety manager's perspective including increasing the probability of workers' hazard perception through knowledge management, maintaining workers' positive attitude toward safety, and controlling first-line supervisors to eliminate workers' unsafe behavior. The research allows us to better understand the causes and solutions of workers' unsafe behaviors in workers' cognitive perspectives.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.243-253
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• 1994

Work environments have been changed with the advent of new technologies, such as computer technology. The newer technologies, the more changes in our work conditions. However, human cognitive limits can't keep up with the change of work environments. Mental workload has been an important factors in designing modem work environments such as human-computer interaction. Designing man-machine systems requires knowledge and evaluation of the human cognitive processes which control information flow workload. Futhermore, under an urgent situation, human operator may suffer the work stress, work error, and resultant deleterious work performance. To describe the work performance in the urgent work situations, with time stress and dynamic event occurence, a new concept of information density was introduced. For a series of experiments performed for this study, three independent variables(information amount system processing time, information density) were evaluated using such dependent variables as reaction time, number of error, and number of failure. The results of statistical anlysiss indicate that the amount of information effected on all of five dependent measure. Number of failure and number of secondary task score were effected by both amount of information and operational speed of system, but reaction time of secondary task were effected by both amount of information and information density.

• Journal of Pharmacopuncture
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• v.27 no.3
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• pp.253-263
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• 2024

Objectives: Nurses face mental health issues like emotional labor, stress, and depression, increasing the risk of medical errors. This study assesses the mental health and medical errors among nurses in Korean medicine clinics in South Korea. Methods: The cross-sectional analysis involved 83 nurses, examining relationships between emotional labor, stress, depression, cognitive failure, Hwa-byung (HB) (a syndrome of suppressed anger in Korean culture), and medical errors. It identified factors associated with HB and medical errors using multiple regression analysis, presenting their odds ratios (ORs) with 95% confidence intervals (CIs). Results: The findings revealed a current HB prevalence of 19.28% and a 6-month medical error prevalence of 16.87% among participants. The regression analysis showed that higher levels of depression (OR = 1.368, 95% CI = 1.098 to 1.703, p = 0.005), cognitive failure (OR = 1.072, 95% CI = 1.011 to 1.136, p = 0.020), and HB trait (OR = 1.136, 95% CI = 1.005 to 1.284, p = 0.041) significantly correlated with HB presence. Conclusion: This groundbreaking study on this previously under-researched nurse workforce highlights the critical need for comprehensive mental health care, with the objective of significantly enhancing their mental well-being and improving their overall work environment.

• The Journal of Information Systems
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• v.1
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• pp.95-109
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• 1992

A number of success story about various application areas including manufacturing, accounting, finance, education, and engineering are reported. MIS professionals predicted that expert systems would improve the productivity enormously. However, the expert system revolution has not happened yet. Although not reported in the open society widely, there are failure stories of expert systems. Most of problems concerning expert system failure stem from the non-technical issues such as cognitive and psychological problems rather than the technical issues. We hypothesize that human factor principle enables designers to handle most of these non-technical problems elegantly and to improve the performance and acceptance of the expert systems. Major reasons for expert system failure and needs of human factors are discussed. Human factor guidelines to expert system make the prospects of the expert systems with human factors clear and understandable.

• Proceedings of the KIEE Conference
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• 1993.07a
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• pp.430-432
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• 1993

In this paper, an algorithm for the fault diagnosis using simple FCM(Fuzzy Cognitive Map) is proposed FCMs which store uncertain causal knowledges are fuzzy signed graphs with feedback. The algorithm allows searching the origin of fault and the ways of propagating the abnormality throughout the process simply and has following characteristics. First, it can distinguish the cause of soft failure which can degenerate the process as well as hard failure. Second, it is proper for the processes which have difficulties to establish the exact quantative model. Finally, it has short amputation time in comparison with the fault tree or the other AI methods. The applicability of the proposed algorithm for the fault diagonosis to a tank or pipeline system is demonstrated

• Asia Marketing Journal
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• v.19 no.3
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• pp.19-44
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• 2017

Researchers do not fully understand consumers' responses to negative co-branding events; thus, they report inconsistent evidence regarding the negative impact on the partnering brands. Our research bridges a gap in this research stream, and answers an important question: When a service failure occurs, could the two different models of consumers' brand schema change affect their negative perception of each brand partner? By using a theoretical and mathematical modeling approach, we offer two propositions. The first proposition shows that, under consumers' book-keeping cognitive process, the negative spillover effect occurs for both brands. The second proposition argues that, when the sub-typing model is assumed, it is possible that one brand suffers while the other escapes the blame for the failure. To our knowledge, this is one of the first few studies to identify circumstances in which a negative spillover effect may or may not occur to brand partners in co-branding service failures.

• Annals of Clinical Neurophysiology
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• v.3 no.2
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• pp.136-142
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• 2001

Background : Nervous system dysfunction is a major complication of end stage renal disease. Although severe neurologic symptoms are partially or completely reversed by adequate hemodialysis, even optimally dialyzed patients will usually not return to normal neurocognitive function. To investigate the influence of chronic renal failure and hemodialysis on higher cognitive function electrophysiologically, we studied auditory P300 event-related potentials in 14 hemodialysis patients and 14 age- and sex-matched normal healthy controls. Methods : The subjects consisted of 14 patients(M: 6, F: 8) with chronic renal failure(CRF) for 1 to 10 years and 14 age- and sex-matched healthy controls(M: 5, F: 9). For the reliability of study, patients with diabetes mellitus, abnormal brain CT findings, or low mini-mental state score(below 20) were excluded. Event related potentials(ERPs) for hemodialysis patients were performed at pre- and post-hemodialysis. To obtain ERPs, subjects underwent 2-tone auditory discrimination test(oddball paradigm). Results : Although the age(control: $48.79{\pm}10.31years$, CRF: $51.21{\pm}7.61years$) and mini-mental state score(control: $27.00{\pm}1.71points$, predialysis CRF: $25.07{\pm}3.58points$) were not different in normal control and CRF groups significantly(P>0.05), P300 latencies at Cz(control: $288.11{\pm}17.36msec$, predialysis CRF: $332.35{\pm}42.34msec$) were significantly delayed(P<0.05)and the duration of Trail making test A was significantly prolonged(control: $64.2{\pm}24.2sec$, CRF: $118.9{\pm}101sec$) in CRF group. P300 latencies between pre- and post-hemodialysis CRF patients(predialysis CRF: $332.35{\pm}42.34msec$, postdialysis CRF: $325.82{\pm}38.69msec$) were not significantly different. The P300 latency was not related with the duration of CRF(Spearman's correlation test, r=0.25, P>0.05) and the frequency of hemodialysis(Spearman's correlation test, r=0.28, P>0.05). Conclusions : From these results, we suggest that P300 latency is valuable in evaluating cognitive brain dysfunction in patients with CRF and hemodialysis does not have a significant effect on cognitive brain dysfunction in patients with CRF.

• Journal of Korean Elementary Science Education
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• v.42 no.4
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• pp.577-590
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• 2023

This study explored types of failure encountered by elementary school students during the engineering design process and how they coped with them. To achieve this goal, we developed and taught engineering design lessons on water shortages to four fourth-grade classes, observing and interviewing seven focus groups. Our analysis revealed that student failures can be categorized into two main types: those caused by cognitive factors and those influenced by environmental factors. While cognitive failures are typically within students' control, environmental factors are beyond their reach. Our findings also showed that students tended to avoid discussing the root causes of failure and instead relied on ad hoc solutions. Additionally, some students lowered their expectations for success to avoid failure. Based on our findings, we offer practical recommendations for educators to help students learn from their failures in a constructive manner.

• The Journal of Industrial Distribution & Business
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• v.10 no.5
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• pp.59-66
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• 2019

Purpose - Many studies show that dissatisfied customers are silent rather than expressing complaints directly to firms. Although silent voices are pervasive in service failure, they have received little attention from researchers. Silence implies a multidimensional nature, not just the opposite of voice. This study focuses on two types of silent students in higher education: acquiescent silence and defensive silence. This study also proposes cognitive trust and affective trust as variables affecting student silence. The objective of this study is to analyse the effects of trust types on student silence and exit intention. Research design, data, and methodology - To test the proposed model, this study conducted a survey with undergraduate students who selected silence in a dissatisfied relationship with a professor. Respondents were asked to respond to the questionnaire, recalling the dissatisfaction at that time. A total of 300 students was surveyed from whom 275 completed questionnaires was obtained. The structural equation model analysis was used for the hypothesis test. Results - First, cognitive trust was negatively related to acquiescent and defensive silence. Second, affective trust was negatively related to acquiescent and defensive silence. Third, cognitive trust was negatively exit intention, but affective trust didn't significantly reduce exit intention. Forth, acquiescent silence was positively related to exit intention, but defensive silence didn't have a significant positive impact on exit intention. Thus, a key result of this analysis was that acquiescent silence enhances exit intention. Conclusions - The findings of the study provide a better understanding of the types of silence, and the role of trust, thus furthering the implication of student reactions to dissatisfaction. In particular, this study is meaningful in that it confirms the value of student silence in the context of complaint management. Acquiescent silence should be more importantly managed because it has stronger negative motive than defensive silence. Acquiescent silence is reduced through various channels(mail, telephone, counseling) that can express complaints. Cognitive trust and affective trust are a essential factors in reducing silence. Also, in explaining exit intention, cognitive trust plays a more important role than affective trust.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.2
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• pp.782-795
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• 2019

Safety is always acritical focus of exploration of ocean resources, and it is well recognized that human factor is one of the major causes of accidents and breakdowns. Our research developed a dynamic human reliability assessment approach, Predicted Mean Vote-Cognitive Reliability and Error Analysis Method (PMV-CREAM), that is applicable to monitoring the cognitive reliability of oceanauts during deep-sea missions. Taking into account the difficult and variable operating environment of manned submersibles, this paper analyzed the cognitive actions of oceanauts during the various procedures required by deep-sea missions, and calculated the PMV index using human factors and dynamic environmental data. The Cognitive Failure Probabilities (CFP) were calculated using the extended CREAM approach. Finally, the CFP were corrected using the PMV index. This PMV-CREAM hybrid model can be utilized to avoid human error in deep-sea research, thereby preventing injury and loss of life during undersea work. This paper verified the method with "Jiaolong" manned submersible 7,000 m dive test. The"Jiaolong" oceanauts CR(Corrected CFP) is dynamic from 3.0615E-3 to 4.2948E-3, the CR caused by the environment is 1.2333E-3. The result shown the PMV-CREAM method could describe the dynamic human reliability of manned submersible caused by thermal environment.