• Journal of Korean Library and Information Science Society
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• v.54 no.1
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• pp.91-114
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• 2023

This study increases awareness of the survey and demand for libraries in correctional facilities, which have not received much attention so far, and is necessary for improving the operation of existing research and libraries in Korea, which is conducting a current status survey of most correctional facility libraries. The contents of the service operation of the external correctional facility library were explored and analyzed. As a result of the analysis, the United States, the United Kingdom, and Germany, where correctional facility libraries are relatively well operated, are practically operating social rehabilitation programs while reducing recidivism of inmates, and library associations or local governments in each country are promoting the vitalization of correctional facility libraries. It helps and organizes committees or organizations involving related experts to discuss policy support, issue checks, research, report publication, drafting and revising guide guidelines, cooperation between libraries, and reflect them in actual operation. In addition, it maintains steady support and interest through public-private cooperation, and makes good use of the linkage system with local public libraries. As a result, it contributes to reducing the recidivism of prisoners. Through this study, the following three areas were suggested for the administrative improvement direction for correctional facility library services. First, the production and distribution of guidelines or guidebooks for correctional facility libraries, second, the establishment of a specialized correctional facility library organization within the correctional headquarters or library association, and third, the strengthening of activities and the operation of law libraries in correctional facilities.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.327-351
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• 2023

This paper aims to derive success factors that successfully lead an artificial intelligence (AI) project and prioritize importance. To this end, we first reviewed prior related studies to select success factors and finally derived 17 factors through expert interviews. Then, we developed a hierarchical model based on the TOE framework. With a hierarchical model, a survey was conducted on experts from AI-using companies and experts from supplier companies that support AI advice and technologies, platforms, and applications and analyzed using AHP methods. As a result of the analysis, organizational and technical factors are more important than environmental factors, but organizational factors are a little more critical. Among the organizational factors, strategic/clear business needs, AI implementation/utilization capabilities, and collaboration/communication between departments were the most important. Among the technical factors, sufficient amount and quality of data for AI learning were derived as the most important factors, followed by IT infrastructure/compatibility. Regarding environmental factors, customer preparation and support for the direct use of AI were essential. Looking at the importance of each 17 individual factors, data availability and quality (0.2245) were the most important, followed by strategy/clear business needs (0.1076) and customer readiness/support (0.0763). These results can guide successful implementation and development for companies considering or implementing AI adoption, service providers supporting AI adoption, and government policymakers seeking to foster the AI industry. In addition, they are expected to contribute to researchers who aim to study AI success models.

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.143-162
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• 2022

Altmetrics is an alternative impact evaluation index that evaluates the social interest in the research performance of individuals or institutions in universities, research institutions, and research fund support institutions. This study empirically analyzed what kind of attention a papers of domestic library and information science researchers published in an international academic journal was receiving in the international community using Altmetric explorer. As a result of the analysis, 230 papers were tracked. The average Altmetric Attention Score (AAS) was 6.63, but there were 2 papers that received overwhelming attention (over 170 points) as they were mentioned in news report and Twitter. Second, there was a tendency for high AAS to appear in cases where a domestic researcher participated as a co-author and the main author belonged to an overseas institution, and in the case where the research funds were supported by foreign government agencies. In addition to the field of the library information science or information system, the papers classified as the field of public health service and education showed high AAS, and it was confirmed that these papers were published in the journals of various fields such as life science. Finally, it was confirmed that there was a weak correlation of r =0.25 between the AAS and the number of citations of the analyzed paper, but a strong correlation of r =0.68 between the number of Mendeley readers and the number of citations.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.211-227
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• 2023

Personal service robots, a type of social robot that has emerged with the aging population and technological advancements, are undergoing a transformation centered around technologies that can extend independent living for older adults in their homes. For older adults to accept and use social robot innovations in their daily lives on a long-term basis, it is crucial to have a deeper understanding of user perspectives, contexts, and emotions. This research aims to comprehensively understand older adults by utilizing a mixed-method approach that integrates quantitative and qualitative data. Specifically, we employ the Van Kaam phenomenological methodology to group conversations into nine categories based on emotional cues and conversation participants as key variables, using voice conversation records between older adults and social robots. We then personalize the conversations based on frequency and weight, allowing for user segmentation. Additionally, we conduct profiling analysis using demographic data and health indicators obtained from pre-survey questionnaires. Furthermore, based on the analysis of conversations, we perform K-means cluster analysis to classify older adults into three groups and examine their respective characteristics. The proposed model in this study is expected to contribute to the growth of businesses related to understanding users and deriving insights by providing a methodology for segmenting older adult s, which is essential for the future provision of social robots with caregiving functions in everyday life.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.267-286
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• 2023

The conversational agents such as AI speakers utilize voice conversation for human-computer interaction. Voice recognition errors often occur in conversational situations. Recognition errors in user utterance records can be categorized into two types. The first type is misrecognition errors, where the agent fails to recognize the user's speech entirely. The second type is misinterpretation errors, where the user's speech is recognized and services are provided, but the interpretation differs from the user's intention. Among these, misinterpretation errors require separate error detection as they are recorded as successful service interactions. In this study, various text separation methods were applied to detect misinterpretation. For each of these text separation methods, the similarity of consecutive speech pairs using word embedding and document embedding techniques, which convert words and documents into vectors. This approach goes beyond simple word-based similarity calculation to explore a new method for detecting misinterpretation errors. The research method involved utilizing real user utterance records to train and develop a detection model by applying patterns of misinterpretation error causes. The results revealed that the most significant analysis result was obtained through initial consonant extraction for detecting misinterpretation errors caused by the use of unregistered neologisms. Through comparison with other separation methods, different error types could be observed. This study has two main implications. First, for misinterpretation errors that are difficult to detect due to lack of recognition, the study proposed diverse text separation methods and found a novel method that improved performance remarkably. Second, if this is applied to conversational agents or voice recognition services requiring neologism detection, patterns of errors occurring from the voice recognition stage can be specified. The study proposed and verified that even if not categorized as errors, services can be provided according to user-desired results.

• Journal of the Korean Society for information Management
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• v.40 no.3
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• pp.245-271
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• 2023

The purpose of this study was to assess the perception of e-book subscription services among the digitally native generation in their twenties, who have a high e-book usage rate. This study employed a mixed-methods approach, combining survey responses and usability testing. It aimed to assess the awareness and usage of e-book subscription services among university students in their twenties, a demographic known for their high utilization of electronic devices and e-books. The survey was conducted among 202 university students, and the responses were categorized and examined based on whether they were users or non-users. As a result of the survey, I found there is different awareness of e-book between users and non-users, on the other hand, convenience and portability are the strong point of e-books for users and non-users commonly also. Usability testing was performed on a group of 10 university students in their twenties who had not previously used the 'Millies Library' application, which is renowned as the most widely-used e-book platform. Following the experiment, participants expressed positive feedback regarding various optional features, convenience, design, and cost-effectiveness. However, they also had negative reactions concerning touch errors, malfunctions, functional practicality, a lack of interest, system issues, and the absence of a library.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.207-217
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• 2019

The purpose of this study is to examine the physical and psychological effects of lifelong physical activity and the role of leader capacity, to provide practical basic data on intangible benefits and to suggest ways to activate the value of lifelong physical education. This study was conducted from September 1, 2018 to September 30, 2018, with a total of 206 questionnaires centering on men and women participating in sports in Jeollanam do. The two-step approach proposed by Anderson & Gerbing (1988) was used to examine the structural relationships between physical benefits, social benefits, mental benefits, self efficacy benefits, leisure cultural benefits, physical effects, mental effects, Respectively. The conclusions of this study are summarized as follows. First, physical and leisure cultural benefits have a positive(+) direct effect on leader capacity. Second, self-efficacy benefits, physical benefits, and leisure cultural benefits have positive direct effects on physical effects. Third, self-efficacy and leisure culture benefits have a direct positive effect on mental effects. Fourth, leadership competence plays a mediating role in the relationship between leisure cultural benefits and physical effects. In addition, it has a mediating role in the relationship between leisure cultural benefits and mental effects. In order to maximize the quantitative expansion and qualitative improvement of living sports and to enhance intangible value of participants in sports for all, the private capital investment such as the training of competent leaders, the development of various programs, and the investment support in the public sector, We hope that the role of the new welfare service delivery system shared with welfare will be provided.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.341-348
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• 2019

The purpose of this study was to develop voluntary learning (talent donation) program as a liberal art lecture for students in G university to cultivate consideration towards others and community life. The title of the liberal education course that was developed was decided as "Beauty Talent Donation". The course objectives were to develop consideration for others and sociality required for community life as well as foster awareness of sharing and develop creative leaders equipped with outstanding characters through cosmetology voluntary service associated education. The final development of education contents were completed over 3 stages including preparation, development, and supplemented development and the major components consist of understanding talent donation, beauty theories, and beauty skills. For the assessment of the learners, absolute evaluation was applied so that personal goals can be achieved through the course instead of evaluating learners' learning capabilities with relative evaluation. Accordingly, a pass or fail system was designed. The beneficiary institution of talent donation was selected based on the following conditions. It is located within a short distance from the educational institution, walking distance for the learners, easy to recruit subjects to receive the support, and accurately understands the purpose of the lecture and willing to cooperate.

• Korean Journal of Comparative Education
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• v.20 no.3
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• pp.75-96
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• 2010

In Korea school-based management has been introduced for upgrading the quality of education from mid 1990's. Due to the change schools began to seek educational consulting services. However, educational consultancy still lies in the rudimentary stage. Recognizing the problems, it compares educational consultancy between Korea and United Kingdom. The study utilizes diverse methods such as literature review, interviews, document analysis. It covered the issues such as history and background, consultants, clients, tasks and processes, and support system for consultancy in both countries. The major findings are as follows. First, they had similar origin and motive for educational consultancy, but differences in the government's approach. Second, educational consultants in both countries have similar backgrounds and qualifications. But there are big differences in consulting firms and agencies. Third, there are also big differences in terms of clients. Fourth, there are differences in terms of consultancy tasks, but similar in consultancy process. Fifth, there are also big differences in service fees and incentives. However, there are similar problems in terms of consultancy training program and professional association of educational consultants. Based upon the findings it could draw implications such as providing more financial resources for Korean schools to purchase consultancy services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.225-227
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• 2022

Now In Seoul, about 75,000 CCTVs are installed in 25 district offices. Each ward office in Seoul has built a control center for CCTV control and is building information such as people, vehicle types, license plate recognition and color classification into big data through 24-hour artificial intelligence intelligent image analysis. Seoul Metropolitan Government has signed MOUs with the Ministry of Land, Infrastructure and Transport, the National Police Agency, the Fire Service, the Ministry of Justice, and the military base to enable rapid response to emergency/emergency situations. In other words, we are building a smart city that is safe and can prevent disasters by providing CCTV images of each ward office. In this paper, the CCTV image is designed to extract the characteristics of the vehicle and personnel when an incident occurs through artificial intelligence, and based on this, predict the escape route and enable continuous tracking. It is designed so that the AI automatically selects and displays the CCTV image of the route. It is designed to expand the smart city integration platform by providing image information and extracted information to the adjacent ward office when the escape route of a person or vehicle related to an incident is expected to an area other than the relevant jurisdiction. This paper will contribute as basic data to the development of smart city integrated platform research.