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A study on user experience of Instagram IGTV -Focus on fashion·beauty contents service (인스타그램 IGTV의 사용자 경험 연구 -패션·뷰티 콘텐츠 서비스를 중심으로-)

  • Woo, Soo-Hee;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.405-411
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    • 2019
  • The purpose of the study is to investigate a usability of using fashion and beauty service and suggest better user experience on Instagram's newly released mobile video platform, IGTV. The study expects to be a resource of improving the usability on fashion and beauty contents on IGTV and encourage further research for suggesting better guidelines. As a research method, it will experiment current mobile video service first with literature review. Afterwards, the research conducted tasks and in-depth interview with eight Instagram users to evaluate a usability of using fashion and beauty service on IGTV. As a result, it is able to derive two plans that needed improvement. Firstly, IGTV is required to have high accessibility for user's to use service longer and intuitive user experience. Secondly, unlike previous service that Instagram have offered, IGTV need to differentiate to share and get information of fashion and beauty trends.

A qualitative case study on the experiences of open adoption by adoptive families (입양가족의 개방입양 경험에 대한 질적 사례연구)

  • Kwon, Ji-Sung;Byun, Mi-Hee;Ahn, Jae-Jin;Choi, Woon-Sun
    • Korean Journal of Social Welfare Studies
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    • v.41 no.2
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    • pp.5-33
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    • 2010
  • The purpose of this study is to understand the open adoption experience of adoptive families. For this purpose, the data were collected through diverse data collection methods including in-depth interviews with adoptive families who had experiences of open adoption and analyzed using a qualitative case study approach. Data collected from six adoptive families were employed for within-case analysis and cross-case analysis. Each case was carefully examined and summarized using story-telling style in the within-case analysis and major issues for open adoption appeared in each case were described and compared one by one. In the cross-case analysis, all the cases were re-examined keeping the issues appeared in the within-case analysis in mind and eight integrated themes were emerged from it. The eight integrated themes are 'the crucial meeting', 'a clear arrangement', 'an uneasy parallel', 'the other mom', 'who are the real parents?', 'the words never to say', 'the hidden characters', and 'the center of relations or the outsider'. Based on the results of the study, the policies and practical guidelines related to open adoption were suggested. Also, the suggestions for the further studies were made to obtain more abundant information beyond the limitations of the study.

The process of transformation experience in yoga participants through Causal Network (인과 네트워크로 본 요가 참여자의 변화체험 과정)

  • Kwon, Oh-Jung
    • 한국체육학회지인문사회과학편
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    • v.54 no.5
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    • pp.233-250
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    • 2015
  • In this study, changes and emotions that result from doing yoga and the influence of yoga on daily lives were investigated by using causal network. This information was gathered from interviews and outlined in a diagram form. By checking the daily participation records of 77 participants who took a yoga class as part of the cultural studies curriculum at H University, general factors related to change were extracted and then 7 participants were chosen for in-depth interviews. In the interviews, the changes experienced from doing yoga and the emotions caused by the change and the influence this change had on daily lives were documented and the collected results were displayed in a diagram using causal network according to the flow of questionnaire. As a result, the changes experienced through doing yoga were divided in 4 categories: physical function, emotional, cognitive and physiological changes. Each change and emotion caused by the change were shown to have an influence on daily lives. Through schematized causal network for each change, the changes and emotions which the participants experienced and the influence of yoga on daily lives could be checked. Based on the study results, the effect of yoga, the need for various approaches to examine the effect exercise has on emotions and the applicability of causal network that can be employed as a creative and effective quantitative data analysis method were discussed.

Chronic pain control in patients with rheumatoid arthritis (만성통증 환자의 통증 조절)

  • Eun, Young
    • Journal of muscle and joint health
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    • v.2 no.1
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    • pp.17-40
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    • 1995
  • Rheumatoid arthritis is the one of the chronic diseases, one of its major symptoms is a chronic pain. Despite developing medical treatment and surgical techniques, it is suggested that to control the pain is the goal of the treatment. But pain is an inner experience and even those closest to the patient cannot truly observe its progress or share in its suffering. The National Academy of Sciences Institute of Medicine's report on Pain and Disability concluded that there is no objective measure of pain-(exactly) no pain thermometer-nor can there ever be one, because the experience of pain is inseparable from personal perception and social influence such as culture. To explore chronic pain experience is to understand the process and property of the patient's perception of pain through the response to pain, the coping with pain, and the adaptation to pain. Therefore a qualitative study was conducted in order to gain an understanding of pain experience of patients with RA in korea. I used naturalistic inquiry as a research methodology, which had 5 axioms, the first is that realities are multiple, constructed, and holistic, the second is that knower and known are interactive, inseparable, the third is only time and context bound working hypotheses(idiographic statements) are possible, the forth is all entities are in a state of mutual simultaneous shaping, so that it is impossible to distinguish causes from effects and the last is that inquiry is value-bound. Purposive sampling was conducted as a sampling. 20 subjects who experienced pain over 10 years, lived in middle-sized city and big city in Korea, and 17 women and 3 men. The subject's age was from 32 to 62 (average 48.8), all were married, living with their spouse and children, except two-one divorced and the other widow before they became ill. I collected data using In depth structured interview. I had interviews two or three times with each subject, and the interviews were conducted at each subject's home. Each interview lasted about two hours an average. A recording was taken with the consent of the subject. I used inductive data analysis-such as unitizing and categorizing. unitizing is a process of coding, whereby raw data are systematically transformed and aggregated into units. Categorizing is a process wherby previously unitized data are organized into categories that provide descriptive or inferential information about the context or setting from which the units were derived. This process is used constant comparative method. The pain controlling process is composed of behavior of pain control. The behaviors of pain control are rearranging of ADL, hiddening role conflict, balancing treatment, and changing social relation. Rearranging of ADL includes diet management, sleep management, and the adjustment of daily life activities. The subjects try to rearrange their daily activities by modified style of motions, rearranging time span & range of activities, using auxillary facilities, and getting help in order to keep on the pace of daily life. Hiddening role conflict means to reduce conflicts between sick role and their role as a family member. In this process, the subjects use two modes, one is to control the pain complaints, and the other is to internalize the value which is to stay home is good for caring her children and being a good mother. To control pain complaints is done by 'enduring', 'understanding' the other family members, or making them undersood in order to reduce pain. Balancing treatment is composed of two aspects. One is to keep the pain within the endurable level, the other is to keep in touch with medical personnel in order to get the information of treatment and emotional support. Changing social relation is made by information seeking and sharing, formation of mutual support relation, and finally simplification of social relationships. The subjects simplify their social relationships by refraining from relations with someone who makes them physically and psychologically strained. In particular the subjects are apt to avoid contact with in-laws, and the change of relation to in-laws results in lessening the family boundary. In the course of this process, they confront the crisis of family confict result in family dissolution. This crisis is related to the threat of self-existence. Findings from this study contribute to understanding the chronic pain experience. To advance this study, we should compare this result with other cases in different cultural contexts. I think to interpret these results, korean cultural background should be considered. Especially the different family concept, more broader family members and kinship network, and the traditional medical knowledge influences patients' behavior.

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The effect of Big-data investment on the Market value of Firm (기업의 빅데이터 투자가 기업가치에 미치는 영향 연구)

  • Kwon, Young jin;Jung, Woo-Jin
    • Journal of Intelligence and Information Systems
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    • v.25 no.2
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    • pp.99-122
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    • 2019
  • According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.

Stereo-based Robust Human Detection on Pose Variation Using Multiple Oriented 2D Elliptical Filters (방향성 2차원 타원형 필터를 이용한 스테레오 기반 포즈에 강인한 사람 검출)

  • Cho, Sang-Ho;Kim, Tae-Wan;Kim, Dae-Jin
    • Journal of KIISE:Software and Applications
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    • v.35 no.10
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    • pp.600-607
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    • 2008
  • This paper proposes a robust human detection method irrespective of their pose variation using the multiple oriented 2D elliptical filters (MO2DEFs). The MO2DEFs can detect the humans regardless of their poses unlike existing object oriented scale adaptive filter (OOSAF). To overcome OOSAF's limitation, we introduce the MO2DEFs whose shapes look like the oriented ellipses. We perform human detection by applying four different 2D elliptical filters with specific orientations to the 2D spatial-depth histogram and then by taking the thresholds over the filtered histograms. In addition, we determine the human pose by using convolution results which are computed by using the MO2DEFs. We verify the human candidates by either detecting the face or matching head-shoulder shapes over the estimated rotation. The experimental results showed that the accuracy of pose angle estimation was about 88%, the human detection using the MO2DEFs outperformed that of using the OOSAF by $15{\sim}20%$ especially in case of the posed human.

Development of Trans-Admittance Scanner (TAS) for Breast Cancer Detection (유방암 검출을 위한 생계 어드미턴스 스캐너의 개발)

  • 이정환;오동인;이재상;우응제;서진근;권오인
    • Journal of Biomedical Engineering Research
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    • v.25 no.5
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    • pp.335-342
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    • 2004
  • This paper describes a trans-admittance scanner for breast cancer detection. A FPGA-based sinusoidal waveform generator produces a constant voltage. The voltage is applied between a hand-held electrode and a scan probe placed on the breast. The scan probe contains an 8x8 array of electrodes that are kept at the ground potential. Multi-channel precision digital ammeters using the phase-sensitive demodulation technique were developed to measure the exit current from each electrode in the array. Different regions of the breast are scanned by moving the probe on the breast. We could get trans-admittance images of resistor and saline phantoms with an anomaly inside. The images provided the information on the depth and location of the anomaly. In future studies, we need to improve the accuracy through a better calibration method. We plan to test the scanner's ability to detect a cancer lesion inside the human breast.

Mining Quantitative Association Rules using Commercial Data Mining Tools (상용 데이타 마이닝 도구를 사용한 정량적 연관규칙 마이닝)

  • Kang, Gong-Mi;Moon, Yang-Sae;Choi, Hun-Young;Kim, Jin-Ho
    • Journal of KIISE:Databases
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    • v.35 no.2
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    • pp.97-111
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    • 2008
  • Commercial data mining tools basically support binary attributes only in mining association rules, that is, they can mine binary association rules only. In general, however. transaction databases contain not only binary attributes but also quantitative attributes. Thus, in this paper we propose a systematic approach to mine quantitative association rules---association rules which contain quantitative attributes---using commercial mining tools. To achieve this goal, we first propose an overall working framework that mines quantitative association rules based on commercial mining tools. The proposed framework consists of two steps: 1) a pre-processing step which converts quantitative attributes into binary attributes and 2) a post-processing step which reconverts binary association rules into quantitative association rules. As the pre-processing step, we present the concept of domain partition, and based on the domain partition, we formally redefine the previous bipartition and multi-partition techniques, which are mean-based or median-based techniques for bipartition, and are equi-width or equi-depth techniques for multi-partition. These previous partition techniques, however, have the problem of not considering distribution characteristics of attribute values. To solve this problem, in this paper we propose an intuitive partition technique, named standard deviation minimization. In our standard deviation minimization, adjacent attributes are included in the same partition if the change of their standard deviations is small, but they are divided into different partitions if the change is large. We also propose the post-processing step that integrates binary association rules and reconverts them into the corresponding quantitative rules. Through extensive experiments, we argue that our framework works correctly, and we show that our standard deviation minimization is superior to other partition techniques. According to these results, we believe that our framework is practically applicable for naive users to mine quantitative association rules using commercial data mining tools.

A Case Study of PBL in a College General Art Class (융복합수업모형으로서의 PBL(Problem-Based Learning) : 대학교양미술 수업사례를 중심으로)

  • Kang, Inae;Lee, Hyun-Min
    • The Journal of the Korea Contents Association
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    • v.15 no.11
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    • pp.635-657
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    • 2015
  • The current society characterized by knowledge-based information technology and multiculturalism put more emphasis on problem-solving skills, creative thinking, and communication skills than any other periods did. In response to the demand of the current times, multidisciplinary, or convergence courses and majors are being created and conducted in college education, yet, with the lack of specific teaching and learning model for the convergence courses. In this context, this study aimed to examine PBL as an instructional model for the convergent approaches in classroom, since PBL has been regarded as a model for fostering the 21st century learning capabilities for student coupled with the learning principles of authentic tasks, learner-centeredness, collaborative learning. This study, after conducted a PBL course for the general art education during the summer semester of 2014, analyzed the result using data collected from students' reflective journals, in-depth interviews, and SNS posts among the students. The result presented students' enhanced self-respect, increased interest in their learning and communication skills, and their recognition of the value on diversity and empathetic attitudes toward each others. In conclusion, PBL showed its potential as an alternative instructional model for the multidisciplinary and convergent learning in college education.

A Study of the Actual Condition for Inducing Container Cargos to Gunsan Port (군산항 컨테이너화물 유치를 위한 실태조사연구)

  • Song, Yong-Zong;Park, Hyoung-Chang;Kim, Myoung-Ryong
    • Journal of Korea Port Economic Association
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    • v.23 no.4
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    • pp.71-90
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    • 2007
  • To induce container cargos to Gunsan port, we should struggle on securing the quantity of goods transported from the competitive Jeonbuk and Chungcheong areas by reducing transportation expenses by land, and make an activating plan for the international exchange between Gunsan port and nearby ports in China. As a result, if the plan to induce container cargos to Gunsan port is activated, the regular liners will stop at Gusan port. So the new sea route will be opened so that consignors can ship cargos in the proper time. The consignors will use Gunsan port frequently because of the reduction of distribution expenses. To do so, for the first, many incentives should be implemented to attract container cargos. In addition, various facilities should be fully equipped and improved. This paper is to improve the problems for which consignors, the shipping lines and forwarders may feel uncomfortable when they use Gunsan port. According to the research on the actual condition, the biggest problem in Gunsan port is the depth of water. The management, relation system, infrastructure and information system of Gunsan port are also insufficient. Therefore, this paper will make an alternative plan to improve these problems and help the container cargos induce to Gunsan port.

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