• Journal of Digital Convergence
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• v.14 no.6
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• pp.187-197
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• 2016

This research analyzed the relationship and the interaction effect between information understandability and information acquisition level in accordance with government's official message presentation types, in other words, press release in text form, infographic that visualize a large amount of information, and webtoon that helps to understand convoluted information in interesting ways. As a result of research, it was confirmed that there exist both main effect and interaction effect in official message types presented by government and information understandability according to the environmental awareness. In addition, the main effect per each variable was confirmed between official message types presented by government and information understandability according to the environmental awareness; however, the interaction effect per each variable was not confirmed. Such research result is meaningful in that it provides the government with basic data in obtaining the effectiveness and usefulness of the information dependent of the official message types presented by government to the information consumer facing the era of government 3.0.

• Research in Community and Public Health Nursing
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• v.27 no.3
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• pp.284-298
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• 2016

Purpose: The purpose of this study was to develop and evaluate the quality (understandability and actionability) of health education materials for Korean-Chinese (KC) female migrant workers, using Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P). Methods: Educational needs assessment was conducted with 3 focus groups with 20 KC women and a focus group with 4 community stakeholders. The quality of the educational materials was evaluated by 3 experts and a community stakeholder, followed by a survey with 15 KC women using 17 items for understandability and 7 items for actionability by means of a Korean version PEMAT-P. Results: The health educational calendar consists of 12 subjects out of 9 topics related to healthy lifestyles for preventing cardiovascular diseases. The overall mean understandability score was 98.8% and the overall mean actionability was 100%. Conclusion: Involvement of KC women and community stakeholders in the development of educational materials was found to be an effective strategy for increasing understandability and actionability of educational materials for KC female migrant workers. This study also demonstrates the PEMAT-P is a useful evaluation tool, emphasizing the actionability of educational materials.

• Journal of Information Technology Services
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• v.23 no.2
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• pp.49-62
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• 2024

The purpose of this study is empirically to identify what factors affect the utilization of public data on the perspective of users. This study proposes four crucial factors including understandability, processing-convenience, linkage, and timeliness from the previous studies. As a result, understandability and linkage factors have significant impact on the utilization of public data and no different impact depending on the industry classification. The implication of this study is that it is important to provide sufficient information so that open data users can understand easily what kind of data it is, and to facilitate the linkage of open data with other data in order to activate the utilization of public data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.183-193
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• 2014

Korean personal data(information) protection law requires privacy policies post on every website. According to recent survey results, users' interests on these policies are low due to these policies' low readability and accessibility. This study proposes a layout that effectively conveys online privacy policy contents, and assesses its impact on information understandability, vividness, and recognition of users. Studies on privacy policies and layouts, media richness theory, social presence theory, and usability are used to develop the new layered approach. Using experiments, three major layouts are evaluated by randomly selected online users. Research results shows that information understandability, vividness, and recognition of privacy policies in the revised-layered approach are higher than those of in the text-only or table-based layouts. This study implies that employing visual guides like icons on privacy policy layouts may increase users' interest in those policies.

• Korean Management Science Review
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• v.18 no.1
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• pp.135-145
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• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.489-500
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• 2009

This research takes a user-centered approach to define relevance, the core concept in information retrieval. The literature on relevance has identified numerous factors affecting such a judgment. We examined the model of user relevance judgment that describes the relationship between user relevance criteria and different types of relevance with information search task. We consider 7 criteria of user relevance-topicality, novelty, reliability, understandability, specificity, richness, and interest-and 3 type of user relevance-cognitive relevance, situational relevance, and affective relevance. Data were collected from a semi-controlled survey and analyzed by a structural equation modeling. As a result, topicality and reliability were found to be the essential relevance criteria in all information retrieval tasks. In the fact search task, topicality, reliability, novelty, richness, and interest were found to be significant. In the problem solving search task, topicality, reliability, understandability, and specificity were found to be significant. In the decision making search task, topicality, reliability, novelty, understandability, richness, specificity, and interest were found to be significant. In addition, the relationships between types of user relevance were determined. This research made theoretical and practical contributions to the field of information retrieval by identifying a definite model of user relevance judgment.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.53-68
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• 2015

This article aims to identify the quality factors of public data which have increased as a public issue; analyze the impact of users satisfaction in the perspective of Technology Acceptance Model (TAM), and investigate the effect of service satisfaction on the government's open policy of public data. This study is consistent with Total Data Quality Management (TDQM) of MIT, it focuses on three main qualities except Contextual Data Quality (CDQ) and includes seven independent variables : accuracy, reliability, fairness for Intrinsic Data Quality (IDQ), accessibility, security for Accessibility Data Quality (ADQ), Consistent representation and understandability for Representational Data Quality (RDQ). Basing on TAM, the research model was conducted to examine which factors affect to perceived usefulness, perceived ease of use, service satisfaction and how service satisfaction affects to the government's open policy of public data. The results showed that accuracy, fairness, understandability affect both perceived ease of use and perceived usefulness; while reliability, consistent representation, security, and accessibility affect only perceived ease of use. This article found that the influence of perceived ease of use on perceived usefulness and the influence of these two causes on service satisfaction in the perspective of TAM were significant and it was consistent with prior studies. The service satisfaction when using public data leads to the reliability of public data open policy. As an initial study on unstructured public data open policy, this article offered quality factors that pubic data providers should consider and also present the operation plan of public data open policy in the future.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.4
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• pp.328-333
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• 2002

The deeper the hierarchy of a inheritance structure is, the better the reusability of the structure is, but the more difficult the understandability and the maintainability of it is. On the contrary, the shallower the hierarchy is, the worse the abstraction of the inheritance structure is, but the better the understandability and modifiability of it is. Therefore, it is to be desired that a deep hierarchy of a inheritance structure should be split to be shallow for the maintainability of a system. This paper proposed a complexity metric that is based on DIT and NOC of Chidamber and Kemerer, and solved the ambiguity of the metrics of them, which was pointed out by Li. The metric is a simple and heuristic one for measuring the complexity of class inheritance structures by considering the number of ancestor classes and descendant classes and the depth of inheritance hierarchy. This provides a quantitative information for assessing the complexity of a inheritance structure in splitting it.

• The Journal of Korean Association of Computer Education
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• v.7 no.3
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• pp.67-78
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• 2004

Since the 7th National Curriculum was established, ICT has emerged as an indispensable tool for teaching a variety of subjects in K-12 education systems. This paper develops the model for explaining the factors affecting students' satisfaction level in using web contents for science class. Based on data collected from a questionnaire survey from the students who evaluated the web sites providing the information related to the science subject, the structural equation model is presented. From this model, a following conclusion is provided : credibility and understandability/motivation are the most important factors affecting the level of satisfaction, but the presentation method, the screen design as well as contents itself has indirect impact on user satisfaction through understandability/motivation. Other interesting results are also provided. This result might provide the useful guidelines for designing the web-contents for science class in high school.

• Journal of Information Technology Services
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• v.20 no.6
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• pp.1-16
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• 2021

The health functional food market continues to grow, and according to that trend, the subdivision sales of personalized health functional foods, which have been legally prohibited, will be operated as a special regulatory pilot project. Personalized health functional food recommendations have a variety of personalized indicators to consider, and it is believed that algorithmic methods will be needed to proceed in a customized manner considering all of them. This study aims to contribute to the development of the AI-based health functional food recommendation service by studying factors that affect the use of the AI-based health functional food recommendation service. This paper analyzed the intention of use for AI-based health functional food recommendation service based on the information system success model and Technology Acceptance Model. This study considered information quality factors, service quality factor, and system quality factor as independent variables influencing perceived usefulness, perceived ease of use and trust. For empirical analysis, 406 questionnaires were used and the collected data were performed using AMOS 22.0 and SPSS 22.0. Research has shown that the accuracy, timeliness, empathy and availability have a positive effect on usefulness. Understandability and availability has been shown to have a positive effect on ease of use. The accuracy, understandability, empathy and availibility has been shown to have a positive impact on Trust. Usefulness, ease of use and trust all have been shown to have a positive influence on intention of use.