• The Korean Fashion and Textile Research Journal
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• v.14 no.1
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• pp.48-55
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• 2012

The purpose of this study was to review the results of previous researches related to cognitive age and to verify variables related to cognitive age. Using the key words of cognitive age, subjective age, self-perceived age and age difference from major academic databases in Korea (KISS), the related research articles were collected and analyzed. The results of this study were as follows: First, educational level and marital status were related to cognitive age but its relationship to the other demographic variables were inconsistent. Second, self-esteem and life satisfaction were associated with cognitive age. Third, consumer behavior such as information-seeking behavior, impulsive buying orientation and brand sensitivity and clothing behavior such as apparel shopping orientation and fashion leadership were related to cognitive age.

• Journal of Korean Society for Quality Management
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• v.35 no.1
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• pp.136-141
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• 2007

For many products failures depend on age and usage and, in this case, failures are random points in a two-dimensional plane with the two axes representing age and usage. Models play an important role in decision-making. In this research, an accelerate failure test (AFT) model is proposed to deal with the two-dimensional data. The parameters are proposed to be estimated through maximum likelihood estimators.

• Korean Journal of Adult Nursing
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• v.16 no.2
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• pp.327-336
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• 2004

Purpose: The aim of this study was to identify the age-related differences in risk perception of breast cancer and the age-related differences in predictors of risk perception. Method: The subjects were 553 women aged from 15 to 64 who lived in Seoul, Kwang-Ju, Jeon-nam province. Data was collected by self-reported questionnaire surveys using convenience sampling. The collected data was analyzed using descriptive statistics, F-test with Scheffe test, and stepwise multiple regression with SPSS-Win 10.0 version. Result: Risk perception of breast cancer was different by age group. Especially, risk perception in teenagers and the 50~64 years group was lower than the other groups. Additionally, general fear of breast cancer, information seeking style, experience, and knowledge were different between the age groups. The results of multiple regression analyses predicting risk perception indicated the following significant predictors: general fear and knowledge in all the subjects, general fear and experience in the 20~29 years group, and general fear in the other age groups. Conclusion: These results suggested that the construction of educational messages for breast cancer prevention and early detection should be designed differently for each age group.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.9
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• pp.101-111
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• 1994

The human face can provide a great deal of information in regard to his/her race, age, sex, personality, feeling, psychology, mental state, health condition and ect. If we pay a close attention to the aging process, we are able to find out that there are recognizable phenomena such as eyelid drooping, cheek drooping, forehead furrowing, hair falling-out, the hair becomes gray and etc. This paper proposes that the method to estimate the age by analyzing these feature components for the facial image. Ang we also introduce the method of facial image synthesis in accordance with the cange of age. The feature components according to the change of age can be obtainec by dividing the facial image into the 3-dimensional shape of a face and the texture of a face and then analyzing the principle component respectively using 3-dimensional model. We assume the age of the facial image by comparing the extracted feature component to the facial image and synthesize the resulted image by adding or subtracting the feature component to/from the facial image. As a resurt of this simulation, we have obtained the age changed ficial image of high quality.

• The Korean Fashion and Textile Research Journal
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• v.17 no.2
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• pp.203-215
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• 2015

This study classifies vanity into groups, analyzes age differences and categorizes price attitudes toward apparel products. Questionnaires were administered to 461 college students living in Daegu City and Kyungbok province. Data were collected using frequency, factor analysis, cluster analysis, correlation analysis, regression analysis, ANOVA, Duncan-test, and t-test. The findings were as follows. College student vanity was classified into three groups of appearance/ achievement pride, low vanity, and appearance/achievement concern. Vanity showed a significant correlation with sub-variables of age difference and price attitude towards apparel products. Appearance pride and achievement concern (sub-variables of vanity) had a significant effect on the conspicuous of price attitude toward apparel products. Appearance pride and Appearance concern (sub-variables of vanity) had a significant effect on information of price attitude toward apparel products. Gender of college students showed a distinction insub-variables of vanity factors such as appearance concern and price attitude toward apparel products such as information, quality, and using coupons. Male students were distinct in look and health as well as age differences by group; female students were distinct in age perception differences (a sub-variable of age difference). Both male and female students showed differences in conspicuousness (a sub-variable of price attitude) toward apparel products by group.

• ETRI Journal
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• v.39 no.5
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• pp.643-651
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• 2017

Human age estimation is one of the key factors in the field of Human-Robot Interaction/Human-Computer Interaction (HRI/HCI). Owing to the development of deep-learning technologies, age recognition has recently been attempted. In general, however, deep learning techniques require a large-scale database, and for age learning with variations, a conventional database is insufficient. For this reason, we propose an age estimation method using artificially generated data. Image data are artificially generated through 3D information, thus solving the problem of shortage of training data, and helping with the training of the deep-learning technique. Augmentation using 3D has advantages over 2D because it creates new images with more information. We use a deep architecture as a pre-trained model, and improve the estimation capacity using artificially augmented training images. The deep architecture can outperform traditional estimation methods, and the improved method showed increased reliability. We have achieved state-of-the-art performance using the proposed method in the Morph-II dataset and have proven that the proposed method can be used effectively using the Adience dataset.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.1
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• pp.141-158
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• 2020

This study examines age differences with respect to consumers' clothing purchase behavior. First, the differences of age groups were investigated according to clothing purchase behavior, which include purchase item, purchase price, purchase channel, information resources, purchase frequency, and monthly clothing expenditures. Second, the differences of segmented groups by age variable were investigated according to clothing purchase behaviors after segmenting consumers by clothing shopping orientation. An on-line survey was conducted from July 2 to July 10, 2019, and 500 data were collected from adults aged 20s to 60s who had bought their own clothes within one year. Data were analyzed by descriptive statistics, factor analysis, reliability analysis, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. This findings showed that there were significant differences in purchase item, purchase price, purchase channel, purchase frequency, and information resources according to age group. As a result of segmentation by shopping orientation, consumers were classified into three groups of high shopping involvement, low shopping involvement, and economic pursuit. In addition, there were partly significant differences in clothing purchase behavior according to classified groups by age variable.

• Korean Journal of Child Studies
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• v.14 no.1
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• pp.153-166
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• 1993

The purpose of the present study was to examine age differences in children's recall for information about aggression, prosociability, and social withdrawal of others and to investigate the impact of likeability on children's recall for social behavioral information. The subjects were 160 children, 20 boys and 20 girls each at 6, 8, 10, and 12 years of age. The subjects listened to descriptions of the social behavior of a hypothetical boy and girl and subsequently reported their recollections. These descriptions were drawn from Bukowski's(1990) stydy, the Pupil Evaluation Inventory, and the Pittsburgh Adjustment Scales. The data were analyzed with 2-way ANOVA, paired T-test, and correlation. Differences across the age levels were found in the number of behaviors correctly recalled for the behavioral descriptions of aggression, prosociability, and social withdrawal. Descriptions of aggressive behavior was recalled more when children listened to a hypothetical boy than to a hypothetical girl. Additional analyses revealed that at 6 years of age, children recalled more descriptions of aggressive and prosocial behavior than of withdrawal and at 10 and 12 years of age, children recalled more descriptions of withdrawal behavior than of aggressive and prosocial behaviors. The more negative the children's affective evaluations of the withdrawal behavior, the better they recalled the withdrawal behavior.

• Journal of the Korean Home Economics Association
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• v.35 no.4
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• pp.125-138
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• 1997

The purpose of this study was to explore the types of mother's language and literacy information as they collaborated to write a letter during a 10-minute session. Subjects of the study consisted of 60 mothers and their children 10 boys and 10 girls each at the age of 3,4 and 5 The mothers' teaching language was analyzed on the basis of hoffman(1987)'s study and the types of information thant mothers and children exchanged during writing letters was analyzed by Burns and Casbergue (1992)'s categories. Frequency percentages and χ2 tests were used to analyze the data. The resuls of this study were as follows. 1. The types of the mothers' teaching language from the most to the least were mother-initiated statements mother-initiated questions and mother's responses to child's efforts. There were significant differences according to children's age in mothers' language. In the mother-initiated questions request questions were used most frequently and followed by interrogation questions and invitation questions next. The statements initiated by mothers were directive comments informative comments supportive comments insistence comments and invitation comments in order. Mothers' responses to child's efforts were corrects/controls additional cues confirmation promotion and praise in order. In all three types of the teaching language significant promotion and praise in order. In all three types of the teaching language significant differences were found according to children's age. 2. The types of information about writing were spelling content off task/preparation mechanical conventions and conceptual meaning of writing in order. Significant differences were found according to children's age. In the age group of 4-and 5-year-olds the mothers exchanged more information about spelling than the mothers of 3-years-olds who frequently used information about content and off task or preparation of writing the letter.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.262-275
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• 2021

The expansion of the online market is expected to change the purchasing environment. The purpose of this study is to examine the difference in the moderating effect of each characteristic on perceived quality and purchase intention according to the group according to product involvement and purchaser age. The first step is to identify the characteristics of online information sources and social media platforms through a literature review. Next, when perceived quality affects purchase intention, we verify the moderating effect according to the characteristics of online information sources and social media platforms. The moderating effect is verified at the stage by dividing it into a group according to product involvement and a group according to age. The following results were confirmed throughout the study: First, perceived quality significantly affects purchase intention. Second, in the relationship between perceived quality and purchase intention, the influence of the moderating effect is different depending on the high-involvement product and the low-involvement product. Third, it was confirmed that there was a difference in the moderating effect of online information sources and social media platforms in the relationship between perceived quality and purchase intention according to age. This study intends to increase consumers' purchase intentions by identifying specific age groups and product groups of involvement and establishing strategies suitable for the characteristics of online information sources and social media platforms.