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Mobile Text Readability Improvement Study of Korean Font - Focusing on Google Noto Sans Typeface -

  • Jae-Hong Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.8
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    • pp.77-86
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    • 2023
  • The background of this study lies in the increasing economic value of Korean fonts and the necessity for font development focused on small character design suitable for the mobile environment. The objective of this study is to analyze and propose strategies to improve readability on mobile screens. The research was conducted by applying eight attributes that could enhance readability according to Tim Ahrens to the design process of a Korean mobile font, adjusting Google's Noto Sans Korean for print/publishing and for small sizes. The results of the study indicate that 1. type width should be increased, 2. open counter (interior space) should be increased, 3. closed counter should be decreased, 4. font weight should be increased, 5. stroke contrast should be decreased, 6. spacing between characters should be increased. Therefore, distinct font families should be provided, differentiating between print/publishing and mobile use, as well as varying font weights and sizes, applying readability and legibility enhancement techniques for Korean fonts.

Correlation Analysis among Searches of Hwa-Byung, Depression, and Suicide Using Big Data: from 2016 to 2022 (빅데이터를 활용한 화병, 우울증, 자살의 검색 상관관계 분석: 2016년부터 2022년까지)

  • Chan-Young Kwon;Won-Ill Kim
    • Journal of Oriental Neuropsychiatry
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    • v.34 no.1
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    • pp.13-21
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    • 2023
  • Objectives: The aim of this study was to analyze correlations among searches of hwa-byung, depression, and suicide using big data. Methods: Keywords searches were performed using both Google Trends and Naver Data Lab on December 13, 2022. From 2016 to 2022, search results for keywords 'hwa-byung', 'depression', and 'suicide' were extracted with a score between 0 and 100 in terms of relative search popularity (RSP). Monthly time analysis, correlation analysis, and regional analysis were then conducted for these scores. Results: Regardless of the search period, RSP for both portal sites was in the order of 'suicide', 'depression', and 'hwa-byung'. Over time, search for 'depression' tended to increase in Google (slope: 0.0092), whereas search for 'hwa-byung' showed a slight increase in Naver (slope: 0.0024). Correlation coefficient for search terms 'depression' and 'suicide' was 0.3969 in Google Trends and 0.4459 in Naver Data Lab, showing clear positive correlations. On the other hand, there was little correlation between search results of 'hwa-byung' and 'depression' or between 'hwa-byung' and 'suicide'. However, compared to males, females showed higher positive associations between search results of 'hwa-byung' and 'depression' and between 'hwa-byung' and 'suicide'. Search terms 'depression' and 'suicide' showed high RSPs in most regions in South Korea. However, 'hwa-byung' had distinct regional differences in terms of RSP. Conclusions: Results of this study will help us understand Korean public's perception of the relevance of hwa-byung, depression, and suicide and plan future research in this topic. In addition, findings of this study may provide future public health implications for reducing the high suicide rate in Korea.

A Basic Performance Evaluation of the Speech Recognition APP of Standard Language and Dialect using Google, Naver, and Daum KAKAO APIs (구글, 네이버, 다음 카카오 API 활용앱의 표준어 및 방언 음성인식 기초 성능평가)

  • Roh, Hee-Kyung;Lee, Kang-Hee
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.12
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    • pp.819-829
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    • 2017
  • In this paper, we describe the current state of speech recognition technology and identify the basic speech recognition technology and algorithms first, and then explain the code flow of API necessary for speech recognition technology. We use the application programming interface (API) of Google, Naver, and Daum KaKao, which have the most famous search engine among the speech recognition APIs, to create a voice recognition app in the Android studio tool. Then, we perform a speech recognition experiment on people's standard words and dialects according to gender, age, and region, and then organize the recognition rates into a table. Experiments were conducted on the Gyeongsang-do, Chungcheong-do, and Jeolla-do provinces where the degree of tongues was severe. And Comparative experiments were also conducted on standardized dialects. Based on the resultant sentences, the accuracy of the sentence is checked based on spacing of words, final consonant, postposition, and words and the number of each error is represented by a number. As a result, we aim to introduce the advantages of each API according to the speech recognition rate, and to establish a basic framework for the most efficient use.

A Study on Activation Method of Website through Log Analysis -Focused on the website(MMWS) for research the Mediterranean Area- (로그 분석을 통한 웹사이트 활성화 방안에 대한 연구 - 지중해지역 연구를 위한 웹사이트(MMWS)를 중심으로 -)

  • Kang, Ji-Hoon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.6
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    • pp.907-916
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    • 2017
  • Recently, various studies related to ICT convergence have been made. Recently, various studies related to ICT convergence have been made. In the academic field, the demand for ICT convergence is on the rise. For example, Digital Humanities and Area Informatics are representative. Area Studies means to study the culture of a specific area in an integrated way. In this regard, researchers who specialize in researching overseas area generally use websites to obtain information related to the area. The Multilingual Mediterranean Web Service System(MMWS), which is operated by the Institute for Mediterranean Studies of Busan University of Foreign Studies is a web site that provides professional and general information to researchers or ordinary people studying in the Mediterranean area among overseas area. In this paper, we analyzeoverseas web sites the MMWS and discuss how to activate web sites based on the analysis results. In details, it analyze MMWS through log analysis and use Google Analytics, a log analysis system provided by Google for analysis. Also study how to use ICT convergence contents as a website activation method.

A study of changes in user experience and service evaluation - Topic modeling of Netflix app reviews (사용자 경험과 서비스 평가의 변화에 관한 연구 - 넷플릭스 앱 리뷰 토픽 모델링을 통해)

  • Seon Yeong Yu;Mi Jin Noh;Yang Sok Kim;Mu Moung Cho Han
    • Smart Media Journal
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    • v.12 no.6
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    • pp.27-34
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    • 2023
  • As Netflix usage has increased due to the COVID-19 pandemic, users' experiences with the service have also increased. Therefore, this study aims to conduct topic modeling analysis based on Netflix review data to explore the changes in Netflix user experience and service before and after the COVID-19 pandemic. We collected Netflix app review data from the Google Play Store using the Google Play Scraper library, and used topic modeling to examine keyword differences between app reviews before and after the pandemic. The analysis revealed four main topics: Netflix app features, Netflix content, Netflix service usage, and Netflix overall reviews. After the pandemic, when user experience increased, users tended to use more diverse and detailed keywords in their reviews. By using Netflix review data to analyze users' opinions, this study shows the changes in user experience of Netflix services before and after the pandemic, which can be used as a guide to strengthen competitiveness in the competitive OTT market.

Implementation of Yoga Posture Training Application Using Google ML Kit (Google ML Kit를 이용한 요가 자세 훈련 애플리케이션 구현)

  • Kim, Hyoung Min;Yoon, Jong Hyeon;Park, Su Hyun;Yu, Yun Seop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.178-180
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    • 2022
  • An application implementation that allows users to train yoga posture based on the landmark of yoga posture of yoga instructors obtained from the Google Firebase ML Kit was introduced. Using the ML Kit, the user's posture is classified and landmarks corresponding to each joint are obtained. The accuracy measurement reference value for the yoga posture is set through the angle formed by the joints of the obtained landmark. The accuracy between the reference landmark for the yoga posture of professional yoga instructors and the landmark for the user's pose through the ML Kit was compared. According to the accuracy reference value, information on malfunction and correct motion is provided to the user through Text-to-Speech (TTS). Users are managed effectively with Firebase, and a system that displays the amount of exercise through a counter and timer when the user performs an exercise that meets the accuracy reference value was explained.

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What explains the failure of Google in the Korean market? The Impact of Multicultural PR Strategy

  • Kim, Hyejung;Woo, Wonseok;Kang, Hyoung-goo
    • Asia Marketing Journal
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    • v.14 no.4
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    • pp.35-56
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    • 2013
  • The era of globalization provides us with both opportunities and threats. The success of a multinational corporation depends largely on its ability to adapt itself to new market environment. We believe that understanding and implementing multicultural PR strategy can be a key to the multinational corporations' success in foreign markets. We argue in this paper that even a global iconic company such as Google needs to focus on how to understand local consumers' needs and preferences before formulating and implementing PR strategy. Having a global hit product or service is not sufficient enough to be successful in some foreign markets. It is especially more evident in the industries where companies deal with individual consumers, and perceptions and sentiments play a large role in their purchase decisions. The objective of this research is to find out the relationship between multicultural PR strategy and business performance. Therefore, our main hypothesis is; better implementation of multicultural PR strategy by a multinational corporation will result in higher performance in the foreign markets. To prove the relationship between multicultural PR strategy and performance, we designed a framework that uses Rudan's (2004) five rules for multicultural PR strategy. It is a contribution to the business academics as there are very few studies that directly focus on and analyze the multicultural aspects of a multinational company's PR strategy. Through our research, we found strong evidence that there is a positive relationship between the level and effectiveness of a company's multicultural PR strategy and its performance in the foreign markets. This offers some meaningful implications to the managers of the multinational corporations and those who are considering going into a foreign market for the first time. We also suggested a way of measuring the implementation of multicultural PR strategy. By applying five rules for multicultural PR strategy to Google's PR activities, it allowed us to convert qualitative information into quantitative data. This kind of tool can be helpful for multinational corporations that want to evaluate their own PR activities.

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Multi-Behavior Analysis Based on Google Archiving Data (구글 아카이빙 데이터 기반 멀티 행위 분석)

  • Yeeun Kim;Sara Hong;Seongmin Kim
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.5
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    • pp.737-751
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    • 2023
  • The importance of digital forensics in the cloud environment is increasing as businesses and individuals move their data from On-premise to the cloud. Cloud data can be stored on various devices, including mobile devices and desktops, and encompasses a variety of user behavior artifacts, such as information generated from linked accounts and cloud services. However, there are limitations in securing and analyzing digital evidence due to environmental constraints of the cloud, such as distributed storage of data and lack of artifact linkage. One solution to address this is archiving services, and Google's Takeout is prime example. In this paper, user behavior data is analyzed for cloud forensics based on archiving data and necessary items are selected from an investigation perspective. Additionally, we propose the process of analyzing selectively collected data based on time information and utilizing web-based visualization to meaningfully assess artifact associations and multi-behaviors. Through this, we aim to demonstrate the value of utilizing archiving data in response to the increasing significance of evidence collection for cloud data.

A Study on the Factor Which Causes the Imbalance Between DAU and Game Purchase in the Mobile Game Market - With an emphasis on Google Play Free Games - (모바일 게임 시장에서 DAU와 게임 구매간의 불균형성을 발생시키는 요인에 대한 고찰 - 구글 플레이 무료게임을 중심으로 -)

  • Lim, Jun;Choi, Sung Wook
    • Journal of Digital Convergence
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    • v.12 no.4
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    • pp.293-303
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    • 2014
  • The mobile game market is fast growing after the Kakao game launched. Especially, the market is placed at the second highest by occupying 33.1% of the market. However, the rate of the total sales amount is only 6%, showing quite an imbalance between the market occupancy and the sales amount. This means that the profit-making models are not stabilized yet in the mobile game market. The absence of profit-making models can be ascertained by the relationship of DAU and sales ranking. There are several games which are ranked at DAU Top10 among Google free games, but not ranked at top 10 among sales amounts. On the other hand, there are several games which are low in DAU ranking but high in sales amount ranking. This result shows that there is no direct interrelation between the product attractiveness which users feel and the profit-making models in the market. This study compared the Google play free games which are ranked at top 10 in terms of DAU ranking and sales amount ranking to find out the factor which causes the imbalance between the DAU ranking and sales amount ranking. Based on this outcome, this study presents the reference point for the design of profit-making models on behalf of the manufacturers who wish to launch into the mobile game market in the future.

Securing of Potential Users of Smartphone UI due to the Philosophy of its Design (스마트 폰 UI의 디자인 철학에 따른 잠재적 사용자 확보)

  • Kim, Su-Hee;Oh, Chi-Gyu
    • The Journal of the Korea Contents Association
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    • v.16 no.10
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    • pp.503-513
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    • 2016
  • Innovator and Early Adopter are main clients of smart phone until now, but the silver generation enjoying price stability and the Internet emerges, so a strategy of the importance, systematic classification, and focus of a neglected class is needed. It is necessary to analyze UI that can departmentalize not a neglected class limited to the silver generation but potential users who can be voluntarily users and can secure them. To secure them, the researcher analyzes how Windows, Icons, Mouse Pull-Down-Menus(WIMP) of UI has been applied in the process that skeuomorphism UI of iPhone, Metro UI of MS, and Material UI of Google change. As a result of an analysis, skeuomorphism is not entirely new and has secured potential users slowly with a method to compensate and improve a part that users disregard. As a concept of touch UI, Metro UI considered potential users from the beginning but did not secure them with new and epoch-making UI. However, Material UI of Google compensates the weaknesses of skeuomorphism UI and Metro UI and emphasizes cost-effectiveness, so has developed into UI that can secure final consumers of potential users. Therefore, to secure potential users, it should make users themselves understand why they should use smart phone, and it should approach with more organized studies on UI through feedback of observation and direct talks.