• Journal of Digital Convergence
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• v.16 no.10
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• pp.437-444
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• 2018

The purpose of this study is to comprehend the trend of digital experience centers' development direction and to find out the types of experiences, the characteristics of interaction and the attribute of contents by selecting 4 digital experience centers opened from 2008 to 2018. The types of digital experiences are operation, sensibility, reaction and induction based on precedent studies. The types of interaction are operation, touch and sensor. The attributes of contents are game, play and education. The result shows that the ratio of operation experiences is gradually higher. In the types of interaction, the trend is switching to operation and touch. The offer of experience activities by play type is getting higher. This study is intended to help create an empirical interaction of the content of the children's digital experience centers that will be deployed in the future.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.111-118
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• 2018

This study was to explore the relationship between the smartphone use, school violence attitudes, bullying situation of adolescents in era of convergence. The participants were 341 middle school students from two school in G city. smartphone use, school violence attitudes, bullying situation and general characteristics of adolescents were measured. The data were collected from July 2 to 25, 2014. The collected data were analyzed through t-test, ANOVA, Pearson's correlation coefficients and multiple regression analysis. The result showed smartphone use was positively correlated with school violence attitudes(r=.269, p<.000) and Bullies(r=.251, p<.000). The finding indicate that smatrphone use has an influence on school violence. Intervening approach to prevent and reduce bullying according to each types were required. Based on the research results, this study suggests policy implications for middle school students' smartphone use and school violence attitudes, bullying situation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.1
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• pp.72-81
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• 2014

Recently, because of irregular power demand, we have suffered from an electric power shortage. The necessity of the adoption of smart grid which makes effective supply of power by using the two-way communication across the grid between the customers and electric energy providers is growing more and more. If smart grid set up in our country, the third-parties which provide services to customer using the information acquired from smart grid, might be revved up. In this paper, we suggest a methodology how classify the types of family by analysing an power consumption pattern using data mining technique. To make a classifier for categorizing the household types, we need power consumption data and their family type. However, it is hard to get both of them. Therefore we develop the simulator that generates power consumption patterns of the household and classify the types of family. Also, we present a potential for application services such as customized services for a specific family or goods marketing.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.4
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• pp.291-302
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• 2013

Signage can be defined as the media device that provides specific information to many unspecified users in public places. Recently applied context-aware technology, signage provides personal on-demand information services in a way that can continue to evolve. The purpose of this study is to analyze characteristics of types which users identify signage on the perceptions and attitudes about consideration of the perspective of the experts in the fields. The research is carried out by applying Q methodology with in-depth interview. First, interviews are conducted to determine the perceptions and attitudes of experts and practitioners on signage. Thereafter users' perceptions and attitudes toward signage are classified by each types using Q methodology. The first type is named as 'signage as smart media', the second type is named as 'signage as passive media', and the third type is named as 'signage as interactive media' is named. The results of this study will be useful guidelines for conducting further academic researches and R&D.

• The Journal of Korean Association of Computer Education
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• v.22 no.1
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• pp.31-46
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• 2019

The purpose of this study is to analyze the self-directed learning types of software education learners and to characterize them according to each type. To do this, 429 middle school students participating in online software education at K university were surveyed and a latent class analysis to analyze self-directed learning types was conducted. As a result, the self-directed learning types of the software education learners were classified into 'highest level of self-directed learning type (class 1)', 'self learning style recognition type (class 2)', 'self learning style preference type (class 3)', and 'lack of self-directed learning type(class 4)'. Also, the level of software learning achievement according to self-directed learning type of software education learners was found to be the highest at 'highest level of self-directed learning type (class 1)' and lowest at 'self learning style preference type (class 3)'. Based on these results, we suggested the strategic implications for software education.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.526-534
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• 2018

The purpose of this study is to classify the degree of change of job discrimination of the disabled according to time and to identify factors affecting life satisfaction according to each type. For this study, data from the 3rd to 8th year of the employment panel for the disabled were used and 1,227 data were used. The longitudinal profile of the disabled person's discrimination was classified through latent profile growth analysis(LPGA), and then influential factors were verified through binomial logistic regression analysis. First, the types of change of the job discrimination of the disabled were represented as the decrease group and the increase group. The factors influencing the job discrimination were the degree of disability, chronic diseases, gross income, and life satisfaction. Second, the factors of predicting the life satisfaction according to the types of job discrimination of the disabled are as follows: job discrimination, decrease and increase group have higher life satisfaction as the self - esteem and socioeconomic status are higher. Based on these results, this study suggested the implications of this study to cope with the discrimination of the workplace with the disabled.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.6
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• pp.223-234
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• 2021

Recent advances in the 4th Industrial Revolution have accelerated the change of the shopping behavior from offline to online. Search queries show customers' information needs most intensively in online shopping. However, there are not many search query research in the field of search, and most of the prior research in the field of search query research has been studied on a limited topic and data-based basis based on researchers' qualitative judgment. To this end, this study defines the type of search query with data-based quantitative methodology by applying machine learning to search research query field to define the 15 topics of search query by conducting topic modeling based on search query and clicked document information. Furthermore, we present a new classification system of new search query types representing searching behavior characteristics by extracting key variables through principal component analysis and analyzing. The results of this study are expected to contribute to the establishment of effective search services and the development of search systems.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.33-42
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• 2023

This study tried to suggest the most effective advertising copy strategy according to the value type of cosmetic brands. For this purpose, an experimental study was conducted using a 3(brand value) × 3(copy type) factorial design. The research results are as follows. First, in the case of luxury brands, monologue-type copy showed the highest advertising effect (advertising attitude and purchase intention). Second, in the case of premium brands, solicitation-type copy showed the highest advertising attitude. However, there was no significant difference in purchase intention.. Third, in the case of the scalpel brand, the interactive copy showed the highest advertising effect (advertising attitude and purchase intention). These results provided the theoretical basis that it is effective to differentiate and use the copy type according to the value type of the cosmetic brand, and it will be used in the copy strategy for practitioners who produce cosmetic advertisements.

• The Korean Journal of Franchise Management
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• v.5 no.2
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• pp.5-23
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• 2014

In order to examine the effects of self-congruity on functional congruity, brand attitude and behavioral intention in name-brand coffee shops, this study attempted to examine the self-congruity in two types which are nonsocial-type SC and social-type SC. The results showed that self-congruity had positive significant effects on functional congruity and nonsocial-type SC influenced to functional congruity more than social-type SC. Also, these two types of self-congruity didn't have direct significant effects on brand attitude. But it had significant effects on brand attitude through the functional congruity. Finally, brand attitude positively impacted on behavioral intention. These findings provide managers in name-brand coffee shops with strategies for implementing more effective brand image building as well as focusing on satisfying customer's functional congruity.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.482-491
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• 2022

The purpose of this study was to classify latent profiles based on satisfaction of student by the campus-life&educational-experiences and to identify factors affecting satisfaction according to each type. For this study, data from the survey of the A univ(1,952 data) were used. To analyze this, a latent profiles analysis was applied to identify subgroups, in which the students by the campus-life&educational-experiences satisfaction, and a multinomial logistic regression model was applied to verify factors affecting group classification. As a result of the analysis, first four groups were classified in the order of 'average·class·highest·relationship satisfaction type'. Second the factors affecting the classification into the remaining three types with 'the average satisfaction type' as a reference group were found to be significant influencing factors(gender, grade, admission process, GPA grade). Based on these results, this study suggested implications for planning and promoting student-tailored education and student support policies at the university level.