• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.129-138
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• 2009

Character graphic design of TV screen, the major visual element, has become greatly important in its roles to help viewers understand visual information better and to enhance the qualities of the program. This research is to figure our a way of changing and improving the attributes of TV captions and graphics such as fonts, size, and caption speed appropriate to bigger and better qualified TV screen. Based on two Delphi surveys of graphics experts along with the theoretical studies, this article analyzes the relevance of visual perception to various visual elements of TV screen, and proposes a better plan in visual effects for various media under OSMU (One Source Multi Use).

• Journal of Korea Society of Industrial Information Systems
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• v.5 no.2
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• pp.70-77
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• 2000

The purpose of this research was to investigate instructors perceptions on the use of quantitative educational software packages in management science and operations research (MS/OR) related courses. The investigation was conducted using a questionnaire survey of MS/OR instructors at US universities. The authors found that instructors were satisfied in the use of existing MS/OR educational software packages to effectively support their teaching in terms of computational speed, number of models offered, size of problems, and accuracy of algorithms. However, many instructors were not satisfied with the tutoring capability of packages such as 'what-if'analysis, graphics availability, explanation capacity, readability of output, and ease of use.

• Journal of Korean Society for Quality Management
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• v.47 no.3
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• pp.509-522
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• 2019

Purpose: The purpose of this study is to analyze how the writing rules of the product user guide affect consumers' understanding of products and the prevention of product accidents. Methods: We surveyed consumers to see how the writing rules of the product user guide help consumers to understand products and prevent product accidents. Results: We derived the importance, necessity, usability, and readability of the principle of making product manuals through analysis of previous research. Usability is the writing rule of the product user guide that the consumer has the most influence on the understanding of product use and the product accident. Conclusion: It is necessary to make product user guide so that consumers can understand the function and safety of products by using video and various image media. Also, It is the obligation to explain all stages of the product and to communicate through the product user guide how to prevent the product accident step by step.

• Journal of Korean Society of Transportation
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• v.34 no.3
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• pp.248-262
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• 2016

The study documents the analysis on characters and symbols shown in the pavement markings in the perspective of mathematics educators. The purpose of this study is to propose a pavement marking method that can enhance readability from the driver's eye position. To this end, this study analyzed the figure of the pavement markings that can be actually recognized by the projective geometry perspective. As a result, it proposed alternatives to the current pavement markings by introducing the concept of the compression ratio. Results of the study are as follows. First, the rule was established to obtain the compression ratio. If the observation of two viewing angles are x and y, then the compression ratio S is ${\sin}y/{\cos}\(\frac{x-y}{2}\)$. Second, we presented two alternatives to the pavement marking method for the displayed information. One is a method for improving the pavement markings in terms of the compression ratio, the other is a method by varying vertical length of the pavement markings while holding its width constant. Based on the outcomes from this study, a mathematical analysis can be further studied for the perception of speed according to the types of pavement marking line.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.528-541
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• 2014

The purpose of this study is to analyze Yun Chi-ho's English Diary both quantitatively and qualitatively. A corpus of 574 diary texts is created from his first and last years in an English speaking environment, and analyzed by two language analysis programs, RANGE and Coh-Metrix. His later diaries have more words in total, and longer average sentence length than his earlier diaries. Also, the Coh-Metrix indices in syntactic complexity and referential cohesion are higher in his later diaries. A qualitative analysis of 57 diary texts shows some improvement in his use of language forms. The most frequent topics of his journals are Christianity, everyday life, politics of Korea and his English studies. His constant effort to keep his journal and correspondence with foreigners, almost all in English, is estimated as one of the key factors for his successful English acquisition. Educational implications for EFL writing courses are discussed.

• Journal of the Ergonomics Society of Korea
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• v.33 no.6
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• pp.499-513
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• 2014

Objective: The objective of this study was to examine frame ratio of text information and font size in the circle smartwatch. Background: Recently, electronic manufacturers try to develop the original metaphor of traditional wrist watch (circle) in terms of smartwatch. They endeavor to break the square display in order to improve emotional customer satisfaction. Method: The experiments examined twenty level of text information design, combinations of four frame ratios (1:1, 4:3, 16:9, 21:9) and five font sizes (6pt, 7pt, 8pt, 9pt, 10pt). Nineteen participants volunteered for the experiment. Dependent variables were WPM (Words per Minute), reading preference, design preference and total preference. Furthermore, small circle display was made by using circle display data (1.3inch), which was exhibited in IFA (International Funkausstellung) 2014. Results: As a result, ANOVA (Analysis of Variance) revealed that WPM, and task time preference affect the specific frame ratio and font size. Results of ANOVA for reading preference, design preference, total preference were grouped by post-analysis LSD (Least Significant Difference). Among users, display ratio (16:9, 21:9), and font size (9pt) were preferred. In conclusion, 16:9 display ratio and 9pt are adaptable for text information in 1.3inch circle display. Conclusion: From the study, it is shown that 16:9 display ratio and 9pt size are more adaptable for text information in 1.3inch circle display than others. It is mainly due to the fact that the order of frame ratio and font size may affect the usability of reading long text information in a small circle display. Therefore, when developers design a circle display, the square frame ratio and font size are required to be considered according to circle size. Application: The 16:9 display ratio and 9pt font size may be utilized as a text information frame in the circle display design guideline for smartwatch.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.33-44
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• 2019

Altmetrics measure the frequency of references about an article on social media platforms, like Twitter. This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. Firstly, in this study, we classify Twitter users mentioning research articles as academic versus non-academic users and experts versus non-experts, using a machine learning approach. Then we build a negative binomial regression model with the number of Twitter mentions of an article as a dependant variable, and nine Twitter related factors (the number of followers, number of friends, number of status, number of lists, number of favourites, number of retweets, number of likes, ratio of academic users, and ratio of expert users) and seven article related factors (the number of authors, title length, abstract length, abstract readability, number of institutions, citation count, and availability of research funding) as independent variables. From our findings, if a research article is mentioned by Twitter users with a greater number of friends, status, favourites, and lists, by tweets with a large number of retweets and likes, and largely by Twitter users with academic and expertise knowledge on the field of psychology, the article gains more Twitter mentions. In addition, articles with a greater number of authors, title length, abstract length, and citation count, and articles with research funding get more attention from Twitter users.

• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.358-371
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• 2003

Automatic word spacing is a process of deciding correct boundaries between words in a sentence including spacing errors. It is very important to increase the readability and to communicate the accurate meaning of text to the reader. The previous statistical approaches for automatic word spacing do not consider the previous spacing state, and thus can not help estimating inaccurate probabilities. In this paper, we propose two statistical word spacing models which can solve the problem of the previous statistical approaches. The proposed models are based on the observation that the automatic word spacing is regarded as a classification problem such as the POS tagging. The models can consider broader context and estimate more accurate probabilities by generalizing hidden Markov models. We have experimented the proposed models under a wide range of experimental conditions in order to compare them with the current state of the art, and also provided detailed error analysis of our models. The experimental results show that the proposed models have a syllable-unit accuracy of 98.33% and Eojeol-unit precision of 93.06% by the evaluation method considering compound nouns.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.15-23
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• 2020

It is a reality that users do not know well what kind of information protection policy the cloud service provider presents to consumers. The purpose of this study is to find a way to improve the effectiveness of information protection by analyzing the content and linguistic characteristics of information protection policies provided by cloud service providers. In order to achieve the purpose of this study, we investigate the contents of information protection policies of 47 companies that provide cloud services and analyze the influence of linguistic characteristics to come up with a plan to increase the efficiency of cloud services. The research results showed that low readability due to comprehensive expression of technical processing methods, etc., could lead to legal disputes and to hinder the spread of cloud services. The research results can increase the effectiveness of information protection by suggesting items to be provided to users.ing, Privacy, confidentiality, linguistic characteristics, Accounting Information.

• The Journal of Korean Association of Computer Education
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• v.13 no.1
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• pp.45-52
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• 2010

With rapid increase in the number of web documents, the problem of information overload in Internet search is growing seriously. In order to improve web search results, previous research studies employed user queries/preferred words and the number of links in the web documents. In this study, performance of the search results exploiting these two criteria is examined and other preference criteria for web documents are analyzed. Experimental results show that personalized web search results employing queries and preferred words yield up to 1.7 times better performance over the current search engine and that the search results using the number of links gives up to 1.3 times better performance. Although it is found that the first of the user's preference criteria for web documents is the contents of the document, readability and images in the document are also given a large weight. Therefore, performance of web search personalization algorithms will be greatly improved if they incorporate objective data reflecting each user's characteristics in addition to the number of queries and preferred words.