• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.230-240
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• 2011

The personality types has been emphasized as one of the influential factors for the program selection by viewers in the multi-channel and multimedia era. However, there have been few empirical studies on this issue. The current study investigated how the audience personality influence the program preference. Specifically, this study focused on both need for cognition and sensation seeking which are related to the television viewing motivation. To examine the influence of personality on program preference, four types of drama and five types of entertainment programs were used. The results of the web survey showed that viewers personality type seem to have effect on their program preference. Indeed, it appeared that there was positive relationship between need for cognition and sensation seeking. The implications of this study's findings were discussed.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.95-101
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• 2009

Cognitive Radios are encouraging solutions to improve the utilization of the radio spectrum In this paper, we propose channel allocation model for cognitive radio and analyse the performance of the model with Petri Nets. We design the model with an assumption that only partial information about current channel allocation information is known to CR users. The model is designed to communicate efficiently avoiding interference with primary and CR users and contains channel reobtaining process of CR users. The dropping rate and throughput of CR users under the various channel utilization of primary users are given as performance index.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.399-400
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• 2013

이 연구는 대학생 시기 건강관리의 중요성을 인식하고, 대학생 집단에 초점을 맞추어 건강 관련 스마트폰 어플리케이션 활용에 영향을 주는 요인과 영향 정도에 대해 조사하고자 한다. 연구모형은 Technology Acceptance Model을 바탕으로 하여 정보보안, 놀이성, eHealth 지식, 기술장애가 인지된 유용성과 인지된 사용 용이성에 영향을 미치고, 이것이 실제 사용 의도에 어떠한 영향을 미치는지 구조방정식 모형을 이용하여 분석하였다. 연구결과 놀이성과 eHealth 지식은 인지된 유용성과 인지된 사용 용이성에 유의한 영향을 주었고, 기술장애는 유의한 영향을 주지 않았다. 이 연구의 결과를 통해 대학생이 스마트폰을 통한 건강정보를 활용하기 위해서는 본능적인 동기부여인 놀이성을 높여야하고, 건강정보 어플리케이션을 활용하는 교육과 중재가 필요할 것으로 사료된다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.399-400
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• 2011

본 연구는 최근 활발하게 연구되어지고 있는 체험마케팅을 중심으로 이론적 내용을 살펴봄과 동시에 지역축제 적용을 위해 요인분석을 통한 축제적용 가능성을 살펴보았다. 연구결과 체험마케팅을 구성하고 있는 요소중 감각마케팅, 감성마케팅, 인지마케팅으로 구분되는 것으로 나타났다.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.15-16
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• 2014

제품/서비스의 전체 사용 경험 주기에서 사용자 인지와 수용에 영향력을 행사하는 첫 단계에 해당하는 OOBE(Out of Box Experience)를 Mobile App 서비스에 맞게 재구성하였다. 본 연구는 "사용자가 서비스를 획득하고(Acquire), 서비스 사용을 준비하다가(Prepare), 어느 시점에서 본격적으로 서비스를 사용하기 시작(First Use)"하는 3단계를 제시한다.

• The Journal of Bigdata
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• v.4 no.2
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• pp.23-34
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• 2019

Recently, the crime that utilizes the digital platform is continuously increasing. About 140,000 cases occurred in 2015 and about 150,000 cases occurred in 2016. Therefore, it is considered that there is a limit handling those online crimes by old-fashioned investigation techniques. Investigators' manual online search and cognitive investigation methods those are broadly used today are not enough to proactively cope with rapid changing civil crimes. In addition, the characteristics of the content that is posted to unspecified users of social media makes investigations more difficult. This study suggests the site-based collection and the Open API among the content web collection methods considering the characteristics of the online media where the infringement crimes occur. Since illegal content is published and deleted quickly, and new words and alterations are generated quickly and variously, it is difficult to recognize them quickly by dictionary-based morphological analysis registered manually. In order to solve this problem, we propose a tokenizing method in the existing dictionary-based morphological analysis through WPM (Word Piece Model), which is a data preprocessing method for quick recognizing and responding to illegal contents posting online infringement crimes. In the analysis of data, the optimal precision is verified through the Vote-based ensemble method by utilizing a classification learning model based on supervised learning for the investigation of illegal contents. This study utilizes a sorting algorithm model centering on illegal multilevel business cases to proactively recognize crimes invading the public economy, and presents an empirical study to effectively deal with social data collection and content investigation.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.638-649
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• 2019

The purpose of this study was to investigate the usefulness of the cognitive function test tool in the clinical or multi-life environment for the elderly and high-risk demented subjects after the development of the non-clinical dementia early diagnosis test content(Co-Wis) based on the contents of the International Clinical Data Standard(CDISC TAUG-Alzheimer's v 2.0, SDTMIG v3.3) And to verify the validity and reliability of the data. To do this, after searching for dementia diagnosis process, we developed a non-clinical dementia diagnosis content(Co-Wis) that can supplement the shortcomings of the existing paper test. We selected 30 subjects from elders who were over 60 years old and verified the validity of test and the reliability of retest among cognitive domains of the Korean MMSE-K, Seoul Neuropsychological Test(SNSB-II) and non-medication dementia diagnosis content(Co-Wis). As a result, we showed high correlation and reliability in all cognitive domains. However, the limitations of insufficient subjects and regional distribution were identified. Based on the results of the study, we discussed the necessity of supplementing and expanding further studies such as various methods of verifying validity and reliability.

• Journal of Digital Contents Society
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• v.16 no.1
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• pp.85-96
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• 2015

With the emergence of smart media and devices which are able to continuous data monitor, the usage patterns of access and acquire health information are changed. Health contents should be provided to promote intrinsic motivation considering the way of cognizing and processing data in human information interaction. For this, planning for prevention centered health contents is required to utilize personal information and medical big data for engagement with the contents. Therefore, this paper reviews previous studies of health communication dealing with users' information literacy like e-health literacy. In addition, the paper classifies ways of communication when mediate IT as immediacy, interaction and data capturing. In conclusion, strategies of health contents for promoting users' intrinsic motivation are explored and its implications are discussed.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.53-54
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• 2019

과거부터 사람들은 달을 인지해왔으며, 인류는 지속적으로 달을 관찰하고 탐구를 멈추지 않았다. 지역문화와 민족문화가 다르기 때문에 달의 이미지에 관한 다른 이해를 바탕으로 미술, 건축, 종교 등에 반영되어 왔다. 영화기술의 발전과 더불어 다양한 영상콘텐츠에도 달이 등장해왔다. 하지만 달에 대한 상징성 연구가 미흡하여 영상콘텐츠에서의 달 이미지 활용에 어려움이 있어왔다. 때문에 본 연구를 통해 영상콘텐츠에서 표현된 달 이미지를 연구하여 달의 의미를 분석하고 표현 방법에 대한 전문성을 높이고자 한다. 연구방법은 첫째, 지역 및 문화별 달의 의미를 제시한다. 둘째, 달과 여성의 이미지 사이의 관계를 이론적 배경으로 제시한다. 셋째, 달의 여성상징적 의미에 관한 영상콘텐츠 작품 사례를 분석하였다. 연구결과 동서양 신화에 등장하는 달의 여성상징은 영상콘텐츠에서 등장인물의 이름과 디자인의 활용 등이 주를 이루었다. 본 연구를 통해 달에 대한 상징에 대한 동서양의 특징을 도출하고, 향후 영상콘텐츠 작품 창작에 활용되기를 기대한다.

• The Journal of Korean Association of Computer Education
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• v.14 no.3
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• pp.63-72
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• 2011

Satisfactory e-learning experience of working part-time adult students is a truly dynamic and multidimensional process that reflects learning needs and abilities. Special attention is given to understanding the role of student-to-faculty interaction, student-to-student interaction, e-learning content and course structure, flow, periodic off-line class meetings and synchronous Q&A sessions. Survey questions were developed and distributed to adult graduate students. Some of them were asked to complete the questions with the most interesting subjects or classes in their mind, and others with the most difficult subjects in their mind. The structural model for each group was tested. The values of path coefficients corresponding to the group with the difficult subjects turn out to be higher for the following paths; a) interaction among professors and students and satisfaction, b) contents quality and flow, c) Q&A and interaction among professors and students, d) Q&A and interaction among students. For the other paths such as interaction among students and satisfaction, contents structure and flow, the coefficient values corresponding to the group with the interesting subjects are higher. Some implications for e-learning design were provided as well.