• The Journal of the Korea Contents Association
• /
• v.17 no.10
• /
• pp.647-656
• /
• 2017

It is obvious that the sales of smart phones are increasing every year whereas the growth rate is decreasing year by year from 2010 through the investigation of the current situation of the smartphone market. Therefore, the GUI design of smartphones has gradually become the major design difference and selling point. In this research background, the purpose of this paper is to investigate and analyze the relationship between GUI design and user experience which takes the 20 generation smartphone users in China as the research objects, so as to understand the impact of GUI design on user experience. In this paper, five visual elements of GUI design are derived from prior study, and five essential factors of user experience are educed by using online review text analysis and KJ. Finally, this thesis makes a questionnaire survey on the 20 generation smartphone users in China, and analyzes the influence of GUI design on the user experience. Meanwhile, we put forward some suggestions for improving the user experience on the basis of the survey results.

• The Journal of the Korea Contents Association
• /
• v.18 no.8
• /
• pp.210-226
• /
• 2018

This study was to explore the life history of an elderly woman who had six times of imprisonment and entered a Samchung re-education camp. This study of life history followed the analysis of Mandelbaum(1973) pointing three perspectives of life: dimensions, turnings, and adaptations. Participant's dimensions of life were exploitation of labor, hostess life for U.S. military, prison life, Samchung re-education camp, marriage with the disabled, life of a farm worker. Turnings of life were serving as a maid, confinement of prison, life of hostess for living, being remanded to Samchung re-education camp by state violence, marriage and divorce, denial of social welfare service. Adaptations of life were downright adaptation in early life, exaggerated act in juvenile reformatory, prostituted women as a simple fortune-maker, adaption as a good wife and wise mother after marriage, resistive adaption as a self-employed. and farm worker. Based upon this results outcome, discussions and implications were suggested.

• The Journal of the Korea Contents Association
• /
• v.20 no.10
• /
• pp.630-640
• /
• 2020

With a recent rise of various chatbot services, this study attempts to explore the role of chatbot users'' psychological characteristics by applying the self-determination theory. In particular,this study investigates (a) the relationship between chatbot users' psychological needs(perceived autonomy, perceived competence, perceived relatedness) and user satisfaction, continuous intention to use, and (b) the moderating effect of chatbot type and user motivations. Based upon a survey, the results revealed that perceived autonomy, competence, and relatedness had significant positive effects on user satisfaction and continuous intention to use. The results also confirmed that the user satisfaction had a significant positive effect on the continuous intention to use. The moderating effect of social and relational motivation was found between perceived autonomy, competence, relatedness and user satisfaction. The implications are discussed for furthering the development of chatbot services.

• Journal of the Korean Society for information Management
• /
• v.34 no.4
• /
• pp.321-344
• /
• 2017

Research on automatic classification of records and documents has been conducted for a long time. Recently, artificial intelligence technology has been developed to combine machine learning and deep learning. In this study, we first looked at the process of automatic classification of documents and learning method of artificial intelligence. We also discussed the necessity of applying artificial intelligence technology to records management using various cases of machine learning, especially supervised methods. And we conducted a test to automatically classify the public records of the Seoul metropolitan government into BRM using ETRI's Exobrain, based on supervised machine learning method. Through this, we have drawn up issues to be considered in each step in records management agencies to automatically classify the records into various classification schemes.

• The Journal of the Korea Contents Association
• /
• v.14 no.6
• /
• pp.54-62
• /
• 2014

Crowdfunding, a way of raising small size investments or donations from numerous individuals, mostly through internet to fund a project, has attracted global interests. The growth of the social network platform has made crowdfunding easier especially for those in the arts and culture sector. Despite the growth of such vehicle, there has been not much empirical research on the subject. We investigated the relationships between the information in the web sites and its contribution to the success in fundraising. We have sampled 161 projects that were uploaded on Tumblbug.com and studied the type of information that lead to a successful fund raise. As a result, we fould that the contents characteristics including motion-pictures, images, and lengthy texts have positive impacts on the success of fundraising. Fundraising rewards did not show any impacts.

• Journal of Korean Library and Information Science Society
• /
• v.48 no.4
• /
• pp.235-258
• /
• 2017

The purpose of this study is to analyze research trends of archives management in Korea by comparing LDA (Latent Semantic Allocation) topic modeling, which is the most famous method in text mining, and HDP (Hierarchical Dirichlet Process) topic modeling, which is developed LDA topic modeling. Firstly we collected 1,027 articles related to archives management from 1997 to 2016 in two journals related with archives management and four journals related with library and information science in Korea and performed several preprocessing steps. And then we conducted LDA and HDP topic modelings. For a more in-depth comparison analysis, we utilized LDAvis as a topic modeling visualization tool. At the results, LDA topic modeling was influenced by frequently keywords in all topics, whereas, HDP topic modeling showed specific keywords to easily identify the characteristics of each topic.

• Korean Journal of Cognitive Science
• /
• v.6 no.2
• /
• pp.47-79
• /
• 1995

Since the early age of computer graphics, facial animation has been applied to various fields, and nowadays it has found several novel applications such as virtual reality(for representing virtual agents), teleconference, and man-machine interface.When we want to apply facial animation to the system with multiple participants connected via network, it is hard to animate facial expression as we desire in real-time because of the size of information to maintain an efficient communication.This paper's major contribution is to adapt 'Level-of-Detail'to the facial animation in order to solve the above problem.Level-of-Detail has been studied in the field of computer graphics to reperesent the appearance of complicated objects in efficient and adaptive way, but until now no attempt has mode in the field of facial animation. In this paper, we present a systematic scheme which enables this kind of adaptive control using Level-of-Detail.The implemented system can generate speech synchronized facial expressions with various types of user input such as text, voice, GUI, head motion, etc.

• Journal of Digital Convergence
• /
• v.18 no.11
• /
• pp.267-272
• /
• 2020

Macroeconomics are one of the indicators that are preceded and analyzed when analyzing stocks because it shows the movement of a country's economy as a whole. The overall economic situation at the national level, such as national income, inflation, unemployment, exchange rates, currency, interest rates, and balance of payments, has a great affect on the stock market, and economic indicators are actually correlated with stock prices. It is the main source of data for analysts to watch with interest and to determine buy and sell considering the impact on individual stock prices. Therefore, economic indicators that impact on the stock price are analyzed as leading indicators, and the stock price prediction is predicted through deep learning-based prediction, after that the actual stock price is compared. If you decide to buy or sell stocks by analysis of stock prediction, then stocks can be investments, not gambling. Therefore, this research was conducted to enable automated stock trading by using macro-indicators and deep learning algorithms in artificial intelligence.

• Korean journal of communication and information
• /
• v.32
• /
• pp.75-111
• /
• 2006

The purpose of this study is to investigate the dependency level of news attributes on the government source and to measure up the impact of news negativity, press ideology, and the conflict level on the forementioned relationship in the context of the prime definer role of the government. The prime definer means that the official source such as the government may dominate media access and create media dependency on the issue and issue attributes. To test the research questions, the content analyses of both the government briefing materials and newspapers were conducted. Textual arguments regarding the new administrative capital were chosen for the analysis. The results showed that the government source played a prime definer role in framing issue attributes of news reporting. This prime definer role was not diminished even among the negative coverage about the chosen topic. However, press ideology and the conflict level influenced the relationship between news attributes and the government-released information in some extent.

• Journal of Korea Multimedia Society
• /
• v.14 no.8
• /
• pp.1070-1081
• /
• 2011

Among visual communications methods through new media, the typography becomes a key role in information transfer areas with the development of motion graphics. Recently, the researches on stereoscopic image productions have been carried out actively to increase the reality of created images, and the various new approaches for the production of stereoscopic images have been investigated. However, it is obvious that the researches using motion typography have not been studied sufficiently. Thus in this study, the stereoscopic images for moving typography are suggested and produced by using three experimental studies -- the experiments using text movement, camera movement, and finally, editing and composition. In the experiments, from the stereoscopic motion typography produced by our proposed methods, the various visual effects have been obtained, and the visual communication with high reality has been achieved.