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20대 여대생 다이어트 경험의 내러티브 분석 : SNS와 인플루언서가 감량 경험에 미치는 영향 및 다이어트 동기의 역할
김경보(Kyungbo Kim) 한국언론학회 2022 한국언론학보 Vol.66 No.3
This paper investigated how female college students, who subscribe to multiple SNS beauty and diet influencers, interpret the relationship among their behaviors for weight-loss, social media use, and the role of SNS influencers by interviewing 11 participants. Narrative analysis revealed that the participants were vulnerable to the thin-ideal internalization from the media and the social pressure to be thin that exists throughout our society. The majority of participants held external motivations for dieting, and their main reason for weight-loss was based on perceived external pressure to maintain a thin body. Their past weight-loss experiences built strong connections between weight-loss and painful self-regulation. Especially, repeated failure in self-control for dieting not only generated strong negative emotions, such as frustration and anxiety, but led to the adoration of SNS influencers and their lives, mainly because of their behavioral disinhibition for food and alcohol intake. Their intrinsic needs to avoid painful regulation seemed to activate intentions for highly risky health behaviors, such as purchasing of weight-loss products, extreme exercise, or super-low calorie food intake without considering nutritional balance. Interestingly, in the decision process for purchasing of weight-loss products, participants actively searched for online consumer reviews and indicated higher trust in information from the anonymous public than from SNS influencers. Distrust and keeping distance from influencers would be intertwined with reducing cognitive dissonance, which exists between their expectation for weight-loss and emotional discomfort from engaging in unhealthy, risky health behaviors. It seems that participants intentionally focused on the positive effects of weight-loss products, which can encourage them to rationalize their behaviors and minimize their emotional disturbance. The problem is that participants were less likely to search for information about the negative effects and potential risks of taking diet pills, which resulted in acceptance of biased and incorrect conclusions about unhealthy weight-loss behaviors. The minority of participants with internal motivations for dieting also experienced strong social pressure to be thin. However, these participants decided to lose weight to maintain their positive physical conditions through the improvement of their lifestyles. In contrast to the external-motivation group, they proactively chose helpful information from SNS and learned how to exercise and what to eat, instead of adoring influencers’ lifestyles. In accordance with past studies, these participants, consistently found SNS content to be helpful and became loyal consumers based on their accumulated trust and intimacy toward influencers. They were relatively free from accepting unhealthy behaviors, such as diet-pill intake, and from experiencing strong emotional disturbance due to cognitive dissonance. The paper further discusses what academia should focus on to reduce potential risks and harm in women’s health due to unhealthy weight-loss.
신체 이미지 관련 뉴스 및 댓글의 논조가 여대생의 신체 이미지에 미치는 영향
김경보(Kyungbo Kim) 한국언론학회 2016 한국언론학보 Vol.60 No.6
Previous studies have found that exposure to thin-ideal media can have an impact on young women’s negative body image by transmitting social standards about good appearance and prompting social comparison. However, we have relatively less knowledge about the impact of news and comments, and that of their attitudes toward thin ideal on negative body image. To test this idea, this study tested if pro- or anti- thin ideal news and comments would influence college women’s body image, including self-body esteem, appearance evaluation, and appearance orientation by using 2 ⨯ 2 factorial design. The result showed that 1) the attitudes of news toward thin ideal influenced negative self-body esteem and appearance evaluation, and 2) the attitudes of comments toward thin ideal also had a negative impact on self-body esteem and appearance evaluation, indicating that participants who were exposed to pro-thin ideal news or comments showed lower body esteem and lower appearance evaluation than those who read anti-thin ideal news or comments. No such effect was found in appearance orientation. This study found an interaction effect of attitudes of news and comments toward thin ideal in appearance evaluation; the impact of attitudes of news toward thin ideal was dependent on those of comments. Specifically, the influence of pro-thin ideal news on appearance evaluation was stronger with pro-thin ideal comments than anti-thin ideal comments. When participants were exposed to pro-thin news and pro-thin comments, they indicated the lowest appearance evaluation among all groups.
김정섭(Jungsub Kim),이상일(Sangil Lee),소상우(Sangwoo So),정연일(Younil Jung),김경보(Kyungbo Kim) 한국자동차공학회 2013 한국자동차공학회 부문종합 학술대회 Vol.2013 No.5
Recently, laser heat treatment is applied by various industries. In automotive industry, there are two main categories: environment friendly and the high safety of vehicles [1]. In order to meet those needs, it has developed environment friendly manufacturing and surface hardening methods. Laser heat treatment is the local heat treatment[2] which is very small deformation because that is the characteristics of material self-quenching. It is possible to make up for the fault that is overall brittle characteristics in hot forming manufacturing and large deformation in high frequency heat treatment. so we will apply a front side member that is important to crash-characteristics. Also this study suggests new simple crash test method which is possible to apply to other crash parts.
김지수(Jisu Kim),정재익(Jaeik Jung),윤조앤(Joanne Yoon),이경보(Kyungbo Lee),최용욱(Younguk Choi),김동환(Dong Hwan Kim) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11
This paper introduces an algorithm for a boxing robot to determine its appropriate defense motion in response to different ways of the users’ attack. In order to interact with the users, the robot should understand the users’ attack pattern. Hence, image processing is used for detecting attack pattern by catching a skeleton of the users’ arm by Kinect. By using this algorithm, the robot can raise a rate of avoidance from the users’ different pattern.
사회적 기업의 효율성 예측: 데이터 마이닝 기법을 이용하여
박경보(Kyungbo Park),김한민(Han-Min Kim),홍종의(Jong-Yi Hong) 한국기술혁신학회 2019 한국기술혁신학회 학술대회 발표논문집 Vol.2019 No.11
최근 많은 사회적 기업이 설립되었으며, 사회적 기업은 정부의 지원이 반드시 필요하다. 정부는 제한된 자원을 효과적으로 사용하기 위해 사회적 목적과 경제적 목적을 효율적으로 달성하는 사회적 기업을 예측해서 지원해야한다. 본 연구는 효율적인 사회적 기업을 판별하기 위해 자료포락분석(DEA)를 이용하였으며, 효율적인 사회적 기업이 가지는 패턴을 찾기 위해 데이터마이닝 기법을 사용하였다. 분석결과, 효율적인 사회적 기업을 예측하는 가장 우수한 데이터 마이닝 기법은 의사결정나무로 나타났으며, 차후 사회적 기업뿐만 아니라 기타 영역으로 까지 확장하여 의사결정지원에 도움을 줄 수 있을 것이다. Many social enterprises have recently been established, and they need to be supported by the government. Governments should anticipate and support social enterprises that effectively achieve social and economic objectives in order to effectively use limited resources. This study used data envelopment analysis (DEA) to identify effective social enterprises and data mining techniques to find patterns of effective social enterprises. As a result, the best data mining technique for predicting an effective social enterprise is decision tree, and it can be extended to not only social enterprises but also other areas to help decision support.