• ETRI Journal
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• v.38 no.6
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• pp.1229-1239
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• 2016

For efficient interaction between humans and robots, robots should be able to understand the meaning and intention of human behaviors as well as recognize them. This paper proposes an interactive human intention reading method in which a robot develops its own knowledge about the human intention for an object. A robot needs to understand different human behavior structures for different objects. To this end, this paper proposes a hierarchical behavior knowledge network that consists of behavior nodes and directional edges between them. In addition, a human intention reading algorithm that incorporates reinforcement learning is proposed to interactively learn the hierarchical behavior knowledge networks based on context information and human feedback through human behaviors. The effectiveness of the proposed method is demonstrated through play-based experiments between a human and a virtual teddy bear robot with two virtual objects. Experiments with multiple participants are also conducted.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.485-486
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• 2019

Simulated driving behavior is an important aspect of realistic simulation systems. To simulate natural driving behavior, this paper proposes an imitation learning method based on active learning that combines demonstration and experience. Driving demonstrations are collected from human drivers in a driving simulator. A driving behavior policy is learned from these demonstrations. The driving demonstration dataset is augmented with new demonstrations that the original demonstrations did not contain, in the form of behaviors from another driving behavior policy learned from experience. The final driving behavior policy is learned from an augmented demonstration dataset.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.3
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• pp.392-400
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• 2008

This paper proposes a novel optimization algorithm inspired by bacteria behavior patterns for foraging. Most bacteria can trace attractant chemical molecules for foraging. This tracing capability of bacteria called chemotaxis might be optimized for foraging because it has been evolved for few millenniums. From this observation, we developed a new optimization algorithm based on the chemotaxis of bacteria in this paper. We first define behavior and decision rules based on the behavior patterns of bacteria and then devise an optimization algorithm with these behavior and decision rules. Generally bacteria have a quorum sensing mechanism that makes it possible to effectively forage, but we leave its implementation as a further work for simplicity. Thereby, we call our algorithm a simple bacteria cooperative optimization (BCO) algorithm. Our simple BCO is tested with four function optimization problems on various' parameters of the algorithm. It was found from experiments that the simple BCO can be a good framework for optimization.

• Journal of the Korean Society of Physical Medicine
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• v.16 no.2
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• pp.101-113
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• 2021

PURPOSE: The purpose of this study was to investigate the differences and correlation between body composition, exercise performance, and behavior based on playing football in childhood. METHODS: 16 subjects who played football in childhood participated in the study. Body composition and exercise performance were measured, and problem behavior was assessed for each of them. All subjects were asked to play football 50 min/day, one day/week for 8-weeks. RESULTS: Muscle mass, muscular strength, balance, and cardiopulmonary endurance, anxiety depression, atrophy depression, attention problems, rule violations, DSM somatization problems, DSM rebellious behavior problems, and sociality significantly increased after 8-weeks. There was a negative (-) correlation between anxiety depression and atrophy depression, and DSM somatization problem and muscular strength, attention problem and balance, and rule violation and cardiopulmonary endurance, after playing football. CONCLUSION: These results confirmed that playing football in childhood had a positive effect on body composition, and that exercise performance and problem behavior were related.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.127-134
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• 2023

Existing studies on this topic have focused on the effect of online content quality on consumer attitudes and behavior, with very few illustrating the effect of influencer image on consumer attitudes and behavior. The purpose of this study intents to reveal how influencer image affect consumer behavior. We have developed an image transfer theory-based research model to reveal how influencers transfer their image to endorsed products to influence consumer behavior. The results show that influencer image positively affects satisfaction, which in turn affects the product's cognitive and affective images in the vlog. Moreover, it was found that a product's cognitive image and affective image influence consumer behavior intention. Furthermore, purchase experience exhibits significant differences in its path. Based on these results, the social media-related research theoretical implication will be offered, and managerial implications will be provided for foreign brand promotion strategies

• Journal of the Korea Society of Computer and Information
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• v.22 no.9
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• pp.125-132
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• 2017

The purpose of this study was to examine the factors influencing career preparation behavior based on the perception of college students from the perspective of social cognitive career theory and to examine the effect of career barriers and career decision self - efficacy on career preparation behavior And career - decision self - efficacy. The results of the study are as follows. First, career barriers perceived by college students showed a significant positive correlation with career decision self - efficacy and career preparation behavior(-), and career decision efficacy showed a statistically significant correlation with career preparation behavior(+). Second, as a result of linear regression analysis to examine the effect of career barriers on career preparation behavior, lack of self - clarification, lack of job information, and lack of recognition of need were subordinate factors of career barriers. Third, as a result of linear regression analysis to examine the effect of career decision - making self - efficacy on career preparation behavior, goal setting and job information, which are sub - factors of career decision self - efficacy, were analyzed. Fourth, mediating effects of career decision self - efficacy on career barriers and career preparation behavior were analyzed by hierarchical regression analysis. The results of this study confirm that the level of career barrier, which is an important factor in career preparation behavior of college students, should be lowered and career decision self - efficacy should be increased.

• The Korean Journal of Community Living Science
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• v.15 no.2
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• pp.83-92
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• 2004

The purpose of this research is to determine the influence of affectionate child-rearing behavior on children's self esteem. The sample group was composed of 200 forth and sixth grade elementary school students. The statistics used for this data were frequency, percentile, averages, standard deviation, Cronbach's alpha, t-test, Pearson's correlation, and stepwise multiple regression analysis. The major findings of the research were as follows: First, the scores of affectionate child-rearing behavior(3.60), global self-worth(3.58), social acceptance(3.46) and behavior conduct(3.28) were higher than the mean scores. On the contrary the scores of cognitive ability(2.95), physical ability(2.94) and physical appearance(2.85) were lower than the mean scores. Second, there were significant differences in cognitive ability based on gender(p＜.01) and global self-worth based on grade(p<.05). Third, the influence of affectionate child-rearing behavior on children's self esteem was found to be significant due to the sub-areas of self-esteem. Affectionate child-rearing behavior affects all sub-areas of self-esteem. Affectionate child-rearing behavior affects cognitive ability(p<.001), physical ability(p＜.01), physical appearance(p＜.01), social acceptance(p＜.001), behavior conduct(p＜.01) and global self-worth(p＜.001). In addition, gender(p＜.01) affects cognitive ability and grade(p＜.05) affects global self-worth.

• Journal of the Korean Home Economics Association
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• v.39 no.6
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• pp.1-14
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• 2001

The purpose of this research is to observe the differences in consumers behavior on clothes care based on their different lifestyles and different demographic characteristics. The research surveyed 267 women of 20 years old or older living in Taegu City. SPSS package was used for data analysis and frequency, percentage, average, standard deviation, factor analysis, cluster analysis, ANOVA(analysis of valiance). and Duncan test were used The results are as follows: 1. Lifestyle factors for the research object were found as 'Consumption-oriented','family-oriented', 'Economic-oriented','Leisure-oriented','conservatism-oriented'. The categories for analysis according to these factors are classified into 5 categories, category 1 is Leisure/Family-oriented group, category 2 Consumption/Leisure avoidance-oriented group, category 3 Economy/Family Apathy-oriented group, category 4 Conservatism-oriented group, and category 5 Consumption/Innovation group. Five factors for behavior on clothes care are found, including washing method, interest in detergent, environmental behavior, washing effectiveness, and management after washing 2. Behavior on clothes care based on lifestyle groups showed a meaningful difference according to the following: Interest in detergent(p<.05 level), environmental behavior(p<.01 level), and washing effectiveness(p< .01 level) 3. In demographic variations (such as age, monthly income, monthly expenditure on clothes), there is a meaningful difference in behavior on clothes care, such as interest in detergent or management after washing, according to different age groups. However, no meaningful difference is found in behavior on clothes care according to other demographic characteristics.

• Earthquakes and Structures
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• v.16 no.6
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• pp.655-664
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• 2019

Behavior factor of a structure plays a crucial role in designing and predicting the inelastic responses of it. Recently, irregular buildings have been interested in many designers. To design irregular structures, recognizing the inelastic behavior of them is necessary. The main objective of this study is to determine the behavior factor of irregular Reinforced Concrete Moment Resisting Frames (RCMRFs) via nonlinear Incremental Dynamic Analysis (IDA). To do so, first, several frames are designed according to the regulations of the Iranian national building code. Then the nonlinear incremental dynamic analysis is performed on these structures and the behavior factors are achieved. The acquired results are compared with those obtained using pushover analysis and it is shown that the behavior factors acquired from the nonlinear incremental dynamic analysis are somewhat larger than those obtained from pushover analysis. Eventually, two practical relations are proposed to predict the behavior factor of irregular RCMRFs. Since these relations are based on the simple characteristics of frames such as: irregularity indices, the height and fundamental period, the behavior factor of irregular RCMRFs can be achieved efficiently using these relations. The proposed relations are applied to design of four new irregular RCMRFs and the outcomes confirm the accuracy of the aforementioned relations.

• Korea Trade Review
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• v.47 no.5
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• pp.321-336
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• 2022

The purpose of this study aims to investigate how consumer awareness and purchasing behavior are affected by the type of animosity against the nation. This study classified animosity into three categories: sociocultural, economic, and war-based. Additionally, the consumer's cognition toward animosity was split into two categories-empathic concernt and personal distress-and the direction of consumption behavior was split into two categories-individual brand avoidance behavior and collective bandwagon behavior. The concept of Fear of Missing Out (FoMO) was introduced for the direction of consumption behavior, further validating the moderating impact. Structural equation modeling method was used to measure the general consumption behvior of Korean consumers' animosity. The results were analyzed using a total of 279 samples. As a result, animosity motivated by war and by economics had a substantial impact on empathic concern, while animosity motivated by socioculture had a significant impact on personal distress. Personal distress had a good impact on an individual's brand antipathy behavior, which in turn led to brand dislike and avoidance. Empathic concern also had a positive impact on the phenomena of group sympathy, which leads to identification of conduct and social conformity. Also, it was proven that the group that had a high level of FoMO reacted strongly to the phenomenon of group collective behavior.