• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.68-68
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• 2018

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1214-1218
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• 2010

As a study on activities associated with sleeping, this paper is aimed to trace a behavior log by differentiating human behavior patterns. Toward this research purpose, we define a behavior log and a simplified feature vector about human behavior patterns associated with sleeping. Then, based on thresholds of the feature vector, we did experiments applying the individual-base behavior pattern decision algorithm to human behavior patterns. The important results derived from these experiments indicate that the proposed approach reflecting individual behavioral characteristics is more useful than the existing single group approach.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.1
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• pp.58-65
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• 2007

Behavioral sequences of the medaka (Oryzias latipes) were continuously investigated through an automatic image recognition system in response to medaka treated with the insecticide and medaka not treated with the insecticide, diazinon (0.1 mg/l) during a 1 hour period. The observation of behavior through the movement tracking program showed many patterns of the medaka. After much observation, behavioral patterns were divided into four basic patterns: active-smooth, active-shaking, inactive-smooth, and inactive-shaking. The "smooth" and "shaking" patterns were shown as normal movement behavior. However, the "shaking" pattern was more frequently observed than the "smooth" pattern in medaka specimens that were treated with insecticide. Each pattern was classified using classification methods after the feature choice. It provides a natural way to incorporate prior knowledge from human experts in fish behavior and contains the information in a logical expression tree. The main focus of this study was. to determine whether the decision tree could be useful for interpreting and classifying behavior patterns of the medaka.

• Korean Journal of Human Ecology
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• v.14 no.3
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• pp.365-378
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• 2005

The purpose of this study is to investigate the relationship among mothers' parenting stress, children's emotional-behavioral problems, and development of children's play patterns. For this study, we observed 81 5-year-old children attending a kindergarten in Southern Chungcheong province. The results of this study are as follows: First, as the mothers felt more parenting stress, the children showed more emotional-behavioral problems. This means that there exists a positive relationship between two factors. Second, aggression, oppositional defiance, and attention deficit among the children's emotional-behavioral problems had a significant, negative influence on the frequency of non-play and parallel play, while they had a significant, affirmative effect on the frequency of group play. Consequently, this study found that mother's parenting stress and child's emotional-behavioral problems affect the development of child's play patterns both directly and indirectly.

• Journal of the Korean Home Economics Association
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• v.45 no.9
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• pp.53-62
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• 2007

The purposes of this study were to look at the patterns of Korean preschoolers' cortisol levels at home and to examine the relations of cortisol pattern to the preschooler's internalizing behavioral tendency with focused on behavioral inhibition and internalizing problematic behavior. The subjects of the study were forty 4-year old preschoolers(27 boys and 13 girls). Saliva was collected at home during the weekends, and cortisol was analyzed by Radioimmunoassay procedure. "Strange Peer Situation Experiment" developed by Rubin, Coplan, Fox and Calkins(1995) and revised by Rubin, Burgess and Hastings(2002) was used to measure the preschooler's behavior inhibition. Problematic behavior was measured through a "Korean Children's Behavior Checklist" (Oh, K. J., Lee, H. R., Hong, K. E., & Ha, E. H., 1997). The results were as follows: First, on average for a 4-year old, the level of cortisol was 0.22 in the morning, and 0.14 in the afternoon. There was a pattern that cortisol levels had declined in the afternoon. There was no difference in cortisol levels between genders. Secondly, there was a tendency that children of higher inhibition level at the lab showed the higher cortisol levels in the morning. However, this difference was not statistically significant. Thirdly, the higher the cortisol levels at home, the more showed internalizing behavior. Externalizing behavior was not correlated with the cortisol levels. It was concluded that cortisol may be related to children's internalizing behavior tendency.

• Journal of Korean Academy of Nursing Administration
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• v.19 no.1
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• pp.28-38
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• 2013

Purpose: Human factor is one of the major causes of medication errors. The purpose of this study was to identify nurses' perception and experience of medication errors, examine the relationship of Dominance, Influence, Steadiness, Conscientiousness (DISC) behavior patterns and medication errors by nurses. Methods: A descriptive survey design with a convenience sampling was used. Data collection was done using self-report questionnaires answered by 308 nurses from one university hospital and two general hospitals. Results: The most frequent DISC behavioral style of nurses was influence style (41.9%), followed by steadiness style (23.7%), conscientiousness style (20.4%), and dominance style (14.0%). Differences in the perception and experience level of medication errors by nurses' behavioral pattern were not statistically significant. However, nurses with conscientiousness style had the lowest scores for in experience of medication errors and the highest scores for perception of medication errors. Conclusion: The results of this study show that identification of the behavior pattern of nurses and application of this education program can prevent medication errors by nurses in hospitals.

• ETRI Journal
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• v.44 no.3
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• pp.426-437
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• 2022

To understand the multilateral characteristics of human behavior and physiological markers related to physical, emotional, and environmental states, extensive lifelog data collection in a real-world environment is essential. Here, we propose a data collection method using multimodal mobile sensing and present a long-term dataset from 22 subjects and 616 days of experimental sessions. The dataset contains over 10 000 hours of data, including physiological, data such as photoplethysmography, electrodermal activity, and skin temperature in addition to the multivariate behavioral data. Furthermore, it consists of 10 372 user labels with emotional states and 590 days of sleep quality data. To demonstrate feasibility, human activity recognition was applied on the sensor data using a convolutional neural network-based deep learning model with 92.78% recognition accuracy. From the activity recognition result, we extracted the daily behavior pattern and discovered five representative models by applying spectral clustering. This demonstrates that the dataset contributed toward understanding human behavior using multimodal data accumulated throughout daily lives under natural conditions.

• Proceedings of the ESK Conference
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• 1996.10a
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• pp.47-55
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• 1996

This study developed a comprehensive and easily applicable nuclear reactor control system evaluation method using reactor operators behavioral and mental workload database. A proposed control panel design cycle consists of the 5 steps: (1) finding out inconvenient, erroneous, and mentally stressful factors for the proposed design through evaluative experiments, (2) drafting improved design alternatives considering detective factors found out in the step (1), (3) comparative experiements for the design alternatives, (4) selecting a best design alternative, (5) returning to the step (1) and repeating the design cycle. Reactor operators behavioral and mental workload database collected from evaluative experiments in the step (1) and comparative experiments in the step (3) of the design cycle have a key roll in finding out defective factors and yielding the criteria for selection of the proposed reactor control systems. The behavioral database was designed to include the major informations about reactor operators' control behaviors: beginning time of operations, involved displays, classification of observational behaviors, dehaviors, decisions, involved control devices, classification of control behaviors, communications, emotional status, opinions for man-machine interface, and system event log. The database for mental workload scored from various physiological variables-EEG, EOG, ECG, and respir- ation pattern-was developed to indicate the most stressful situation during reactor control operations and to give hints for defective design factors. An experimental test for the evaluation method applied to the Compact Nuclear Simulator (CNS) installed in Korea Atomic Energy Research Institute (KAERI) suggested that some defective design factors of analog indicators should be improved and that automatization of power control to a target level would give relaxation to the subject operators in stressful situation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.332-340
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• 2013

As a means for users to interact online, Social Network Service focuses on facilitating the building of social relation. Also, Social Network Service(SNS) provides various functions for managing relationships and sharing information based on relationships. Analyzing behavioral characteristics and the process of relationship formation can help to identify the characteristics of the model for online human relationship. In this paper, we analyze usage pattern based on characteristics posted messages of influential users in Twitter. Also, classifying Facebook users into influential group and uninfluential group based on the number of their social relations, we analyze and compare characteristics of relationship formation patterns of the two classified groups. In addition, we present characteristics of human relation model in social network according to the pattern analysis.

• Nutrition Research and Practice
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• v.8 no.5
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• pp.571-579
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• 2014

BACKGROUND/OBJECTIVES: The objectives were to investigate the effect of a 12-wk intervention with behavioral modification on clinical characteristics and dietary intakes of young and otherwise healthy obese and to identify factors for successful weight loss. The goal was to lose 0.5 kg per week by reducing 300-500 kcal/day and by increasing physical activities. SUBJECTS AND METHODS: Forty four obese subjects (BMI > 25) and 19 normal weight subjects (BMI 18.5-23) finished the 12-week intervention. Obese subjects participated in 5 group educations and 6 individual counseling sessions. Normal weight subjects attended 6 individual counseling sessions for evaluations of dietary intake and exercise pattern. Anthropometric and clinical characteristics and 3-day dietary records were evaluated at baseline and week12. RESULTS: Weight and serum triglyceride and free fatty acid concentrations in obese group decreased significantly with intervention. Intakes of energy, fat, and cholesterol decreased significantly in the obese. Active participation, realistic weight loss goal setting, and weight gain after high school graduation not during childhood were identified as key factors for successful weight loss. CONCLUSIONS: The 12-week intervention with behavioral modification resulted in reduced energy and fat intakes and led to significant weight loss and improvements of clinical characteristics in the obese. The finding that those who became obese during childhood lost less weight indicates the importance of 'early' intervention.