Nowadays the preschool children spend much of the day playing indoors. Therefore, it needs the indoor environment that helps a variety of fun activities and physical development, and it requires the space configuration and playable furniture considering the emotional development for mental health. However, the furniture for fast growing preschoolers has not various types because the domestic furniture market for children is mostly baby beds and the furniture for the education of children. Therefore, this study presents the concepts and types of the playable furniture reflecting emotional design for preschool children's healthy emotion and suggests the most appropriate type of playable furniture considering play behavior by age. In this study, we investigated the physical, cognitive, social, emotional and linguistic development characteristics and play behavior of preschoolers, and derived the right type of playground equipment and furniture, and examined the types of playable furniture to help the emotional development. We derived the items to be checked for developing the playable furniture by age for emotional development, and classified preschoolers' playable furniture into the use of learning, relaxation and storage, and suggested its basic type focusing on the cases of various playable furniture developed at home and abroad. As a result, the playable furniture was divided into three types. The first is the self-play type making possible self amusement, the second is module built-up-type that consists of furniture and modules or units and creates various patterns and can be modified through the self-assembly and disassembly, and the third is IT game type grafting IT skills and a variety of electronic games to furniture. We sorted these types into three classes (1-3 years old, 4-5, 6-7) according to age and presented the type of play for each age, the play element and representative image that can be introduced to this furniture. In this study, we provided the basic design types of age-specific emotional playable furniture by analyzing these results.
The Journal of the Convergence on Culture Technology
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v.3
no.4
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pp.35-42
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2017
Behavior Economics, a branch of social sciences, which seeks to find the answers about why man sometimes does absurd economy-related things, came into existence through combining economics and psychology. To the contrary of the traditional economics', behavior economics has developed by explaining how man makes economy-related choices by means of applying their own cognitive principles. Individuals lack the information on the goods and services in the market, and don't know how to make best use of the obtained information, failing to achieve maximum utility. Therefore, man's rationality is meant to be confined to bounded rationality. It is the very Heuristic that does work in the process of this simplified decision making process. Heuristic utilizes established empirical notion and specific information, and that's why there can be cognitive biases sometimes leading to inaccurate judgment. As Oral Literature is basically based on heavy guesswork and perceptual biases of general public, it is imperative to contemplate oral literature in the framework of Heuristic of behavior economics. This thesis deals with thinking types and behavioral patterns of the short-piece proverbs, folklore language-game riddles on the basis of personal or public memory. As a result, it is evident that proverbs point out biases arising from human behaviors, while riddles make full or active use of biases.
Through the examination of hospitalized patient's records, this study purports to determine. the extent to which nursing record behaviors meet general expectations held for nursing records and the differences in nursing record behavior in relation to different nursing categories, period of recording and hospitals with different management patterns. Nursing record behaviors of 802 patient's records in four hospitals in Seoul were examined. by use of a check list, which was prepared by the author as an instrument for the study. Data obtained from this examination were processed into percentage values for percentage. test and chi-square test in order to determine their significance. Results are as follows; 1. Records pertaining to treatment ranked highest among all care categories in their extent of coverage, averaging 65.6 percent. 2. Of the treatment category records, records of medication led others at 94.3 percent. followed by records of test and collection of specimens at 59.9 percent. diet at 58.8 percent and treatment at 41.0 percent. 3. Records in the category of physical assessment and care averaged 44.1 percent, the second highest next to treatment category records, 4. Of the records in the category of physical assessment and care, records in vital signs. placed first at 98.9 percent, followed by sleep at 76.2 percent, body weight at 74.7 percent, symptoms and signs at 69.3 percent, rest at 44.5 percent, hygiene at 39.7 percent, activities and participation at 16.9 percent, positions at 10.3 percent, level of consciousness at 9.8 percent and physiological dysfunction at 1.1 percent in that order. 5. Records in the category of psychological assessment and care averaged 3.2 percent, the lowest of the -three major categories. 6. Of the records in the category of psychological assessment and care, records on emotional responses ranked top at 10.5 percent, followed by self-concern at 2.1 percent, adjustment at 2.0 percent, family, occupational and social relations at 0.7 percent and preferences. and interest at 0.5 percent in that order. 7. Records in relation to the category of specific conditions were found in 9.1 percent of the total records. 8. Of the records in the category of specific conditions, consultation and transfer records, stood first at 25.0 percent, followed by precautionary measurements at 1.4 percent and isolation at 0.9 percent 9. A great difference in nursing record behavior was observed between the first week of hospitalization and the last week, with the first week's recordings much higher than the last week in the categories of treatment and specific conditions (p<0.01). and of physical assessment and care (p <0.05). 10. A big difference was also observed among the hospitals (p<0.01). 11. A big difference was also observed between the government-run hospitals and the private hospitals in the categories of physical assessment and care and specific conditions in the first week of hospitalization (P<0.05l), and in the category of psychological assessment and care in the last week (P<0.05). 12. Between the hospitals established with foreign aid and the other hospitals, the difference in nursing record behavior was significant only in the category of physical assessment and care both in the first week and the last week (P<0.01). 13. The average nursing record behavior in all care categories stood at 45.1 percent in the extent of its coverage in relation to the general expectations.
As big data become more important socially and economically in recent years, many problems have been derived from the indiscriminate application of big data. Big data are valuable because it can figure out the meaning of informative information hidden within the data. In particular, to predict customer behavior patterns and experiences, structured data that were extracted from Customer Relationship Management (CRM) or unstructured data that were extracted from Social Network Service(SNS) can be defined as a population to interpret the data, during which many errors can occur. However, those errors are usually overlooked. In addition to data analysis techniques, some data, which should be considered in the analysis, are not included in the population and thus do not show any meaningful patterns. Therefore, this study presents the measurement and interpretation of the data generated when the cause of error in the population setting is strong relationship and interaction between people or a person and an object. In other words, it will be shown that if the relationship and interaction are strong, it is important to include data collected from the perspective of user experience and ethnography in the population by comparing various cases of big data application, through which the meaning will be derived and the best direction will be suggested.
This study used laten class growth analysis to identify discrete developmental patterns of delinquent behaviors in adolescence. This present article also examined associations among these trajectories to determine how the development of delinquent behaviors relates to protective and risk factors, which include parental monitoring, attachment with parent, association with deviant peers, self-control, and negative stigma from others. Four-wave panel data from a Korea Youth Panel Study were used for the latent class growth model analysis. The sample consisted of 3,446 adolescents who were assessed at 4 measurement waves with approximately 1-year interval. Four trajectories of delinquent behaviors emerged: delinquency persistence, delinquency increaser, delinquency decreaser, normative group(almost no delinquent behaviors). Association with deviant peers had the most proximal strong influence on the probability of being in the delinquency increaser and delinquency persistence group compared, noed to the normative group. Parental monitoring, self-efficacy and negative stigma also differentiated the four delinquent behavior trajectories from one another after controllig for socio-demographic variables. The study suggested that there is a significant heterogeneity in the timing and change rate of delinquency progression. Adolescent delinquency prevention and intervention programs will need to consider this heterogeneity and enhance attention to protective and risk factors depending on the subpopulation.
This qualitative study aimed to develop a structural framework that explains the process of psychological adaptation and sequential changes being perceived by Korean people under the COVID-19 Pandemic past year. Setting a tentative analysis frame induced from antecedent literatures about psychological phenomena during the COVID-19 pandemic, the qualitative data were collected from 6 Korean adults by semi structured individual interviews. For the data, content analysis applied from the grounded theory were performed. As a result, the initial framework was extended and revised to describe the psychological phenomena under the pandemic. This paradigm structure includes the process of 'causal factors ⇒ psychological main phenomena ⇒ sequential results' being intervened by personal contextual situations and psychological characteristics, as moderators. The category of causal factors were the COVID-19 pandemic, relevant critical incidents, and social distancing policy. The main phenomena reflected either positive, negative, or complicated experiences. The sequential psychological results included transformation of cognitive system or behavior patterns. Various variables such as psychological sense of community and social responsibility, psychological capability for leisure, and positive psychological capital were found out as moderating factors. In discussion and conclusion, theoretical/practical implications of the results and direction to study in the future were suggested.
This paper intends to identify the structure of homogeneous regions and functional regions in Seoul based on B.J.L. Berry's ‘general field theory of spatial behavior’. The structure of homogeneous regions by using socio-economic variables can explain how the structural elements of the city are arranged. It can be ssid that Seoul has shifted towards more complicated and differentiated features in terms of homogeneous regions. The different patterns are found between the northern part to Han River where old torn areas are located and the southern part to Han River where newly urbanized areas are located. Usually, the concentric pattern and the sectoral pattern coexist, which is enhanced moving from CBD to the outskirt area. The distribution of different social classes shows irregular pattern similar to the variation of living environment. The social gap is expected to be more widening between new towns and old towns. The analysis of spatial movement pattern shows no clear hierarchical order because of current shifts towards both multi-nuclear pattern and spatial dispersion. The functional regions show duplicated structure overlapping their boundaries each other. The ‘general field theory of spatial behavior’ strongly suggests that spatial interactions among sub-areas in the city are differentiated from the basic characteristics and function of each sub-area. The attributes of homogeneous regions and functional regions are interrelated in the characteristics of isomorphic nature.
Journal of the Korean Society for information Management
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v.41
no.3
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pp.205-247
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2024
The purpose of this study is to investigate how information use behavior and satisfaction appear by personality type for liberal arts learning among college students, and to propose a customized information service plan that can help college students study in university libraries. To this end, a survey was conducted on 169 university students enrolled in C University. The analysis consisted of demographic characteristics, MBTI personality type, information use behavior, satisfaction, and university library service perception survey. Frequency analysis, cross-analysis, multinomial logistic regression, one-way ANOVA, and hierarchical regression analysis were performed on the collected data using the SPSS 29 statistical program. As a result of the study, first, significant results were found in 'preferred information sources', 'information source consideration factors', and 'information collection patterns' according to personality type. Second, there were statistically significant differences in satisfaction according to personality type in 'system utilization ability', 'data selection ability', and 'the degree of recognition of the usefulness of learning activities'. Third, in the relationship between preferred information sources and satisfaction based on personality types and information use behaviors, there appears to be an inverse relationship when the content includes various topics with a lack of academic depth or expertise. However, the preference for 'social media' is positively correlated with 'satisfaction with search results,' as it provides diverse perspectives and viewpoints in liberal education
In recent years, a large number of robots have been developed in several countries, and these robots have been built for the purpose to appeal to users by well designed human-robot interaction. In case of the robots developed so far, they show proper reactions only when there is a certain input. On the other hands, they cannot perform in a standby mode which means there is no input. In other words, if a robot does not make any motion in standby mode, users may feel that the robot is being turned-off or even out of work. Especially, the social service robots maintain the standby status after finishing a certain task. In this period of time, if the robots can make human-like behavioral patterns such like a person in help desk, then they are expected to make people feels that they are alive and is more likely to interact with them. It is said that even if there is no interaction with others or the environment, people normally reacts to internal or external stimuli which are created by themselves such as moving their eyes or bodies. In order to create robotic behavioral patterns for standby mode, we analyze the actual facial expression and behavior from people who are in neutral affective emotion based on ethnographic methodology and apply extracted characteristics to our robots. Moreover, by using the robots which can show those series of expression and action, our research needs to find that people can feel like they are alive.
Korean Journal of Construction Engineering and Management
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v.19
no.1
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pp.21-31
/
2018
The rapid increase of the elderly living alone is a critical issue in worldwide as it leads to a rapid increase of a social support costs (e.g., medical expenses) for the elderly. In early stages of dementia, the activities of daily living (ADL) including self-care tasks can be affected by abnormal patterns or behaviors and used as an evidence for the early diagnosis. However, extracting activities using non-intrusive approach is still quite challenging and the existing methods are not fully visualized to understand the behavior pattern or routine. To address these issues, this research suggests a model to extract the activities from coarse-grained data (spatio-temporal data log) and visualize the behavioral context information. Our approach shows the process of extracting and visualizing the subject's spaceactivity map presenting the context of each activity (time, room, duration, sequence, frequency). This research contributes to show a possibility of detecting subject's activities and behavioral patterns using coarse-grained data (limited to spatio-temporal information) with little infringement of personal privacy.
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