• 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.

• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.133-137
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• 2015

비행안전과 효율적인 정비를 수행하기 위해서는 우수한 항공정비사의 양성이 절대적으로 필요하다. 이에 따라 본 연구에서는 개인의 행동유형이 항공정비사로서의 업무 숙련도에 미치는 영향이 있는지를 검증하기 위하여 항공정비학과에 재학 중인 학생들을 대상으로 DISC 진단지를 통해 행동유형을 조사하였다. 개인 별 행동유형과 항공기체, 항공기관 및 항공전기 전자 실습성적을 분석하여, 행동유형과 실기 실습 숙련도의 상관관계를 분석하여 항공정비사의 행동 유형이 직무 숙련도에 미치는 영향과 행동 유형별 적합한 항공정비직무를 예측하기 위한 실증연구를 수행하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.5-6
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• 2023

본 연구에서는 언텍트 소비가 일반화됨에 따라 소상공인들을 지원하기 위해 캡티브-포털을 활용하여 주문하는 등의 시스템을 구축하고 있으며, 이에 상권 내 방문자들의 주문 정보를 기반으로 개인의 선호나 취향을 고려하고 기존 방문 순서를 고려하여 다음 방문지를 추천할 수 있는 모델을 개발하고자 한다. 모델 개발을 위한 데이터셋으로는 캡티브-포털을 통해 수집되는 변수 항목과 유사한 위치기반 SNS 데이터인 Foursquare 데이터를 활용했다. 본 논문에서는 데이터셋의 변수 중 상호명을 기반으로 22개의 행동 유형 카테고리로 묶어 현재 행동 유형 이후에 다음에 이어질 행동 유형을 예측하는 것을 제안한다. 개인 별 세션 기반의 데이터셋을 LightMove 알고리즘을 활용하여 행동유형 예측을 임베딩 차원의 변경하여 실험한 결과 500차원에서 Top-5가 82.72의 성능을 보임을 확인했다. 향후 국내 상권에 맞는 방문지 추천 시스템이 개발된다면 방문지 추천을 활용하여 다양한 마케팅 전략을 수립이 가능해질 수 있고, 이를 통해 지역 상권이 활성화될 것으로 기대된다.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.254-263
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• 2019

This study was designed to understand the Education recognition, satisfaction, and job preferences of college students majoring in beauty through the DISC behavior type, and to be used as customized career and beauty education data considering individual tendencies through the DISC behaviour type. From September 20 to October 11, 2017, the final questionnaire was analyzed for students of beauty education who lived in South Chungnam Province and Gyeonggi Province. Significant differences in the Education recognition and job preferences of the study participants were shown, followed by D, I, S, and C, and were found to be satisfactory for their majors. Through this study, it is believed that it will be possible to identify the Education recognition, satisfaction and job preferences of college students in beauty education and use them as basic data that can help them decide their career path after beauty education.

• Korean Journal of Social Welfare
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• v.66 no.3
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• pp.5-28
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• 2014

School absenteeism, one of the early warning signs of behavioral problems, has been known to be a complex and heterogeneous problem. However, much of the research assumes that school absentee adolescents comprise a homogeneous group. This study explored the heterogeneity of school absentee adolescents, based on school adaptation, to provide a more nuanced understanding of school absenteeism and examined predictive and risk factors associated with each typology of school absentee adolescents. Latent profile analysis was conducted using sample 477 middle school students who were reported absent in the previous year from the 3rd wave of Korean Children and Youth Panel Study. Multinomial logistic regression and ANOVA was also employed to examine the effects of predictive variables. As a result, three profiles were identified: low, middle, and high adaptive group. Group membership was found to be associated deferentially with gender, mental health, parenting neglect, delinquent friends, and delinquent behaviors. These findings propose more specific and targeted interventions designed to meet the needs and risk factors associated with the different typologies of school absentee adolescents.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.221-232
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• 2017

In recent years, the development and market participation of major makers of next-generation eco-friendly vehicles has been accelerating. Consumer interest has also increased. Consumer characteristics, consumption type, characteristics of next-generation eco-friendly vehicles, and government policies on next-the results of this study are as follows. As a result of this study, it was found that the characteristics of consumers (by sex, age, monthly average income), types of consumers (price value pursuit type, individual value pursuit type), There was no significant difference between the consumers, and the purchasing intention was not significantly different by gender, age, and monthly income, but there was a significant difference in purchase intention according to the type of consumer. The positive effects of consumer purchase behavior on brand image, color, design, etc, have positive (+) effect on eco - friendly vehicles. And social environment value seeking type among consumer types are significant in relation to purchase intention. To have three support the government's carbon dioxide (per ton of 5,000 won, per ton of 10,000 won), national or local government vehicle price support directly gasolin tax, disel tax, carbon taxes, such as fuel-related tax relief, etc. was found to have positive effect.

• Cartoon and Animation Studies
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• s.25
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• pp.203-225
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• 2011

This study investigated hypothesized relationships between three personality traits, as defined by PEN model (Psychoticism, Extraversion and Neuroticism), and individual media dependency. The basic idea of the study was that individuals' goals are related to active media use, and the goals will be different based on differences in individuals' personality types. In addition, this study attempted to find whether there are gender difference in constructing media dependency relations with the media. The study was conducted online and the total number of participants was 337 (158 male and 179 female). Correlation analyses indicated no relationship between the extraversion and any of the IMD media use categories. Lower levels of psychoticism were related to a greater likelihood of utilizing the media in an effort to obtain self understanding and having fun more than higher levels of psychoticism. Individuals with higher levels of neuroticism were significantly more likely to depend on the media for achieving self understanding than those with lower levels of neuroticism. When the variable of participant gender was controlled for, there were different patterns of the relationships between personality types and IMD goals. This study showed that to varying degrees certain personality types are related to the goals individuals seek to fulfill with the media use. The implications of the study were discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.352-360
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• 2018

The purpose of this study was to examine the level of human rights sensitivity and the types of perception in regards to the human rights of college students to enhance their human rights sensitivity. The study methodology included a t-test and variance analysis for the level of human rights sensitivity, and a Q-factor analysis for the perception types of human rights. As a result of examining whether there is a difference in human right sensitivity, it was found that female students were higher than male students, and juniors and seniors were higher than freshmen and sophomores. The human rights sensitivity of the students in the social and science department were the highest, and those who had volunteer experiences were more susceptible to human rights than those who did not. Students who registered for organ donation were higher than those who did not, and those who received human rights education showed higher human rights susceptibility than those who did not. Four perception types of human rights were analyzed 'universal social moralists', those who have an idealistic mindset and make decisions based on moral standards, 'practical realists', those who have no intention of breaking out of the social norm and who do not want to take any risks for human rights, 'social system advocates', those who have a clear understanding of the basic human rights concept, but don't think that they should break the rules of society for the sake of individual rights, and 'social contracts advocates', those who are willing to bend the rules of society for human rights, but not to the extent of ruining relationships. These study results are expected to contribute to the possibility of the social viewpoint that human rights sensitivity can be developed in the context of social experience as well as perception.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.133-154
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• 2021

Today smart phone is the most common media with a vehicle called 'application'. In order to understand how media users select applications and build their repertoire, this study conducted two-step approach using big data from smart phone log for 4 weeks in November 2019, and finally classified 8 media repertoire groups. Each of the eight media repertoire groups showed differences in time spent of mobile application category compared to other groups, and also showed differences between groups in demographic distribution. In addition to the academic contribution of identifying the mobile application repertoire with large scale behavioral data, this study also has significance in proposing a two-step approach that overcomes 'outlier issue' in behavioral data by extracting prototype vectors using SOM (Sefl-Organized Map) and applying it to k-means clustering for optimization of the classification. The study is also meaningful in that it categorizes customers using e-commerce services, identifies customer structure based on behavioral data, and provides practical guides to e-commerce communities that execute appropriate services or marketing decisions for each customer group.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.250-253
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• 2007

통신기술의 발달로 무선단말기의 보급이 급증하고 무선 네트워크 사용이 일반화됨으로써, 최근 유비쿼터스 컴퓨팅 기술이 중요한 이슈가 되고 있다. 유비쿼터스 컴퓨팅은 시간과 장소의 한계를 넘어 사용자가 하고자 하는 일을 컴퓨팅 환경이 상황을 인지하여 돕는 것을 가능하게 한다. 상황인지를 위해 순차패턴과 시간 연관규칙 탐사를 이용하여 사용자의 행동패턴을 추출하는 연구가 활발히 진행되고 있다. 이러한 연구를 통한 행동패턴은 사용자의 특성을 간과하게 되며, 각 사용자에게 더욱 유용한 서비스를 제공하기 위해서는 사용자를 분류하는 것이 필요하다. 그러나 기존의 연구는 단지 통계적인 사용자의 빈발 행동패턴만을 추출하여 각 사용자의 관심사와는 무관한 서비스 제공이 이루어질 수 있다. 성별, 나이, 직업 등의 개인정보와 위치를 고려하여 사용자에게 더욱 더 효율적이고 유용한 서비스를 제공할 수 있도록 행동패턴을 유형별로 분류할 필요가 있다. 본 논문에서는 각 위치에 따른 사용자의 연령대별 유용한 행동패턴을 추출하여 정확한 서비스를 제공할 수 있는 마이닝 기법을 제안한다.