• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.113-122
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• 2018

Mobile GUI design is changing from an existing design that emphasizes intuitive cognitive effects to an affordance design that naturally triggers users' behaviors. However, in the GUI design, the current affordance only uses some partial design elements and cannot achieve effective design, and the concept of affordance design still has confusion and uncertainty. For this reason, this paper redefines affordance by examining the concepts and types of it in the pre-research. In addition, through questioning the type of affordance, a questionnaire was designed for the GUI elements of social software. According to the results of the survey, the evaluation of the affordance of the GUI design elements was derived, and the GUI design of the social software was compared and analyzed. Then according to the deep interviews, a GUI design proposal that can effectively use affordance was proposed.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.2
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• pp.57-78
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• 2017

SNS is a useful tool to quickly deliver information in an emergency given their speed and expandability. Especially, SNS in the event of a disaster or an accident can offer on-site, accurate and detailed updates about essential information such as the safety of victims and the development of the situation, served as a valuable complement to the conventional media. This study aims to perform a comparative analysis on how social media are currently used by emergency management authorities in South Korea and other countries. Based on the results, this study proposed more effective ways to exploit SNS and improve efficiency of disaster management. To accomplish the goals, this study collected tweet information from various sources including the FEMA of the U. S., the FDMA and the Central Disaster Council of Japan, and the MPSS of Korea. The collected tweet information was analyzed by feedback, time series, and information types. The feedback analysis aims to quantify the number of monthly user feedback in order to assess user satisfaction about the tweet information. The time series analysis identifies the number of tweet information, feedback index and keywords by country for certain duration, examining why certain messages showed high feedback indices and what kind of contents should be offered by the authorities. Finally, the analysis of information type reviews the type of information contained in the tweet information that drew users' attention to identify the information type in which the authorities should deliver information to users. Based on these analyses, this study proposed improvement methods to use Tweeter in MPSS.

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.115-122
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• 2018

This study examined the relationship between SNS use and individual psychological well-being on Instagram. In particular, this study sorted three types of perceived social support-informational, companionship, and self-esteem-to investigate how they influenced individual life satisfaction and loneliness. Results from a survey of 174 college students showed that: (1) frequency of Instagram use was a significant predictor of all three types of perceived social support; (2) status updates had positive effects on perceived self-esteem support, while posting photos was a significant predictor of perceived companionship support; (3) browsing others' profiles was a significant negative predictor of perceived self-esteem support and finally (4) perceived companionship social support had a positive effect on life satisfaction, whereas self-esteem social support had a negative effect on loneliness. These findings imply that Instagram users obtain specific types of social support depending on which activities they engage in and that different types of social support have different effects on well-being.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.233-240
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• 2011

Social Media is the open online tool and media platform for sharing and participation of users opinion, experience, viewpoiont, so general situation that is one-side flowing from production to consume doesn't act, and while use of two-way, user create contents use of sharing and participation. This social media include Blog, Social Network Service(SNS), Wiki, User Create Contents(UCC), Micro Blog, 5 types. In broad terms, Social Learning is self-learning that user sharing with coperation and collective intelligence through Social Media, and in few wards Social Learning is learning for Social Media. In this research, we define Social Media and Social Learning, and research of method of use of Elementary Education.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.49-58
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• 2019

There have been studies on the satisfaction, preference, and post occupancy evaluation of urban parks in order to reflect users' preferences and activities, suggesting directions for future park planning and management. Despite using questionnaires that are proven to be affective to get users' opinions directly, there haven been limitations in understanding the latest changes in park use through questionnaires. This study seeks to address the possibility of utilizing the thirdgeneration SNS data, Instagram and Google, to compare behavior patterns and trends in park activities. Instagram keywords and photos representing user's feelings with a specific park name were collected. We also examined reviews, peak time, and popular time zones regarding selected parks through Google. This study tries to analyze users' behaviors, emerging activities, and satisfaction using SNS data. The findings are as follows. People using park near residential areas tend to enjoy programs being operated in indoor facilities and to like to use picnic places. In an adjacent park of commercial areas, eating in the park and extended areas beyond the park boundaries is found to be one of the popular park activities. Programs using open spaces and indoor facilities were active as well. Han River Park as a detached park type offers a popular venue for excercises and scenery appreciation. We also identified companionship characteristics of different park types from texts and photos, and extracted keywords of feelings and reviews about parks posted in $3^{rd}$ generation SNS. SNS data can provide basis to grasp behavioral patterns and satisfaction factors, and changes of park activities in real time. SNS data also can be used to set future directions in park planning and management in accordance with new technologies and policies.

• The Journal of Information Systems
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• v.26 no.4
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• pp.419-442
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• 2017

Purpose The purpose of this study is to explore the pattern of user response and it's duration time through social media content response analysis. We also analyze the characteristics of content quality factors which are associate with the user response pattern. The analysis results will provide some implications to develop strategies and schematic plans for the operator of regional marketing on the SNS. Design/methodology/approach This study used mixed methods to verify the effects and responses of social media contents on the users who have concerns about regional events such as local festival, cultural events, and city tours etc. Big data analysis was conducted with the quantitative data from regional government SNSs. The data was collected through web crawling in order to analyze the social media contents. We especially analyzed the contents duration time and peak level time. This study also analyzed the characteristics of contents quality factors using expert evaluation data on the social media contents. Finally, we verify the relationship between the contents quality factors and user response types by cross correlation analysis. Findings According to the big data analysis, we could find some content life cycle which can be explained through empirical distribution with peak time pattern and left skewed long tail. The user response patterns are dependent on time and contents quality. In addition, this study confirms that the level of quality of social media content is closely relate to user interaction and response pattern. As a result of the contents response pattern analysis, it is necessary to develop high quality contents design strategy and content posting and propagation tactics. The SNS operators need to develop high quality contents using rich-media technology and active response contents that induce opinion leader on the SNS.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.401-414
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• 2021

The purpose of this study was to examine the associations of Korean older adults' use of Social Network Service (SNS) and text messages with frequency of contact with 1) non-coresident adult children, 2) siblings and relatives, or 3) friends, neighbors, and acquaintances. Data were drawn from the 2017 Survey of Living Conditions and Welfare Needs of Korean Older Persons 65+ (N=8,392), and older adults were categorized into 4 groups depending on their familiarity with use of SNS and text messages. Ordinary Least Squares regression models were estimated for analyses. Results revealed that older users of both types of communication media reported frequent exchanges of calls, text messages, etc. with both family and friends. However, using SNS and text messages was consistently related to more face-to-face contact with non-family members. To conclude, older adults' familiarity with communication media could be key to exchanges of emotional and instrumental support with informal social network members and quality of life in the community. Overall, our results highlight the importance of information communication education targeting older adults for continued involvement with their informal social network members.

• Journal of Korean Library and Information Science Society
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• v.49 no.1
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• pp.47-75
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• 2018

The objective of this study is to investigate the current usage and Satisfaction Levels of modern literature services provided by the National Library of Korea, and explore the strategies to promote the use of the modern literature service. The result show that the usage rate of users for the modern literature service is very low, and the Satisfaction Level of the experienced users are found to be normal. Therefore, in order to increase the utilization rate and the Satisfaction Level, first, it is required for active promotion of current modern literature services. Second, the public relations of exhibitions and viewing information are provided direct access to users of the modern literary materials, so various types of exhibitions and events are necessary. Third, although respondents said that library homepage, portal site, and SNS are effective public relations methods, in the case of less-educated and seniors, they prefer public relations through offline media. Therefore, deeper theoretical considerations are necessary in order to select affordable public relations media.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.113-119
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• 2020

Numerous tourist-related data produced on the Internet contain not only simple tourist information but also diverse ideas and opinions from users. In order to derive meaningful information about tourist sites from such big data, the social network analysis of tourist keywords can identify the frequency of keywords and the relationship between keywords. Thus, it is possible to make recommendations more suitable for users by utilizing the clear recommendation criteria of tourist attractions and the relationship between tourist attractions. In this paper, a recommendation system was designed based on tourist site information through big data social network analysis. Based on user personality information, the types of tourism suitable for users are classified through deep learning and the network analysis among tourist keywords is conducted to identify the relationship between tourist attractions belonging to the type of tourism. Tour information for related tourist attractions shown on SNS and blogs will be recommended through tagging.

• Journal of the HCI Society of Korea
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• v.7 no.1
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• pp.11-17
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• 2012

A number of context information is shared through social network service(SNS). Among them, we focused on the information which is rarely shared for various reasons. The result indicated that users prefer to avoid certain types of context information because of： 1)containing socially unacceptable content, 2)laking of desire for disclosure, and 3)potential risk of privacy. Concerning privacy concern, it was found that users developed their own management strategy to control context information rather than employing existing system features. Drawing on Communication Privacy Management(CPM) theory, we analyzed findings and suggested guidelines for system design.