• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권6호
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• pp.2251-2270
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• 2015

More than 1 billion mobile apps (smartphone applications) have been released worldwide. Competition among developers of apps that are available in app stores has intensified because of increasing demand. App icons with an appealing design can instantly increase attention. Miryoku Engineering methods were used and combined with the Kansei interface model to examine the relationship between attractive icons and users. The evaluation grid method (EGM) is a qualitative method that was used to evaluate the icons, and Quantification Theory Type I is a quantitative method that was used to analyze the influence of design elements in icons. Eight attractive factors of app icons were determined using EGM, and six specific factors were identified using questionnaires. The quantitative results indicated that user cognition and emotion were influenced by the various design elements. The impact on the attractive factors of a single design element differed among users with diverse backgrounds. App icons were assessed on the basis of aesthetics to identify attractive factors and thereby assist designers in understanding and implementing design elements and improving the overall visual appeal of their apps. The result of this investigation is crucial to the presentation of app icons in online app stores.

• 한국콘텐츠학회논문지
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• 제17권11호
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• pp.143-155
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• 2017

모바일 우선주의 시대에 수많은 모바일 앱이 쏟아지면서 사용자들이 보유하는 앱의 숫자도 증가하게 되었다. 그러나 실제로 자주 사용하는 앱의 숫자는 적고 많은 앱들이 언젠가 사용되기 위해 보관되고 있다. 이런 앱들을 사용자가 필요한 순간에 스마트폰에서 빠르게 찾도록 하기 위해서는 사용자들이 앱아이콘을 어떻게 관리하고 어떻게 탐색하는지에 대한 연구가 필요가 있다. 본 연구는 문헌연구에서 앱아이콘 정리, 앱아이콘 인지 및 디자인의 변화에 대해서 고찰하고 5가지 정리 유형(사용빈도, 유사성, 사용성, 심미성, 외부영향)을 추출하였다. 이를 토대로 30명의 아이폰 사용자들의 모바일 화면을 관찰 분석하여 유사성, 심미성, 외부의 영향을 3가지 주요 유형으로 확정하여 사용자 유형을 나누고, 각 사용자마다 자신의 폰에서 앱아이콘을 찾는 실험을 진행하여 사용자 유형별 아이콘 탐색 시간의 차이를 검증하였다. 자주 사용하는 앱의 경우는 대부분의 피험자들이 2초 이하로 빨리 찾았지만 자주 사용하지 않는 앱의 경우에는 유사성을 중심으로 정리하는 사용자가 평균 6초로 가장 빨리 찾았고 심미성을 고려해서 정리한 사용자가 평균 19초로 가장 오래 걸렸다. 또한, 사용자 유형별 인터뷰 결과 유사성 중심으로 정리하는 사용자에게는 앱아이콘 보다는 앱 이름의 기능 유추 여부가 중요하며, 심미성을 고려하여 정리하는 사용자에게는 앱아이콘의 칼라가 중요하고, 폴더 사용 없이 폰에서 제공하는 순서대로 앱을 배치하는 사용자들에게는 수많은 앱 아이콘들 사이에서 빠르게 시선을 잡아줄 수 있는 앱아이콘의 가시성이 중요함을 알 수 있었다. 본 연구의 결과는 사용자들의 성향을 고려하면서 앱 아이콘의 사용성을 높이기 위한 디자인을 하는데 기초자료로 활용될 수 있을 것으로 기대된다.

• Nutrition Research and Practice
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• 제9권2호
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• pp.207-212
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• 2015

BACKGROUND/OBJECTIVES: The Recaller app was developed to help individuals record their food intakes. This pilot study evaluated the usability of this new food picture application (app), which operates on a smartphone with an embedded camera and Internet capability. SUBJECTS/METHODS: Adults aged 19 to 28 years (23 males and 22 females) were assigned to use the Recaller app on six designated, nonconsecutive days in order to capture an image of each meal and snack before and after eating. The images were automatically time-stamped and uploaded by the app to the Recaller website. A trained nutritionist administered a 24-hour dietary recall interview 1 day after food images were taken. Participants' opinions of the Recaller app and its usability were determined by a follow-up survey. As an evaluation indicator of usability, the number of images taken was analyzed and multivariate Poisson regression used to model the factors determining the number of images sent. RESULTS: A total of 3,315 food images were uploaded throughout the study period. The median number of images taken per day was nine for males and 13 for females. The survey showed that the Recaller app was easy to use, and 50% of the participants would consider using the app daily. Predictors of a higher number of images were as follows: greater interval (hours) between the first and last food images sent, weekend, and female. CONCLUSIONS: The results of this pilot study provide valuable information for understanding the usability of the Recaller smartphone food picture app as well as other similarly designed apps. This study provides a model for assisting nutrition educators in their collection of food intake information by using tools available on smartphones. This innovative approach has the potential to improve recall of foods eaten and monitoring of dietary intake in nutritional studies.

• 한국조리학회지
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• 제21권6호
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• pp.167-181
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• 2015

본 연구는 스마트폰 맛집 앱에 대한 순수성, 유용성, 과장성, 동의성이 신뢰 및 지각된 위험과 최종적으로 이용의도에 미치는 영향관계를 검증하여 모바일 애플리케이션의 유용한 정보를 제시하고자 하였다. 편의표본추출법(convenience sampling)에 의해 스마트폰 맛집 앱 이용자 275명을 분석에 사용하였다. 분석결과, 첫째, 사용후기 특성 중 순수성 및 유용성과 동의성은 신뢰에 정(+)의 유의한 영향을 미치는 것으로 나타난 반면, 과장성은 신뢰에 부(-)의 유의한 영향을 미치는 것으로 나타났다. 둘째, 사용후기 특성 중 순수성 및 유용성만이 지각된 위험에 유의한 영향을 미치는 것으로 나타났다. 셋째, 신뢰는 지각된 위험보다 이용의도에 유의한 영향을 미치는 것으로 나타났다. 넷째, 신뢰와 지각된 위험 모두 스마트폰 맛집 앱 사용후기 특성 중 순수성 및 유용성, 사용후기 동의성과 이용의도 간에 매개역할을 하는 것으로 볼 수 있다.

• 기본간호학회지
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• 제24권4호
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• pp.255-264
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• 2017

Purpose: The purpose of this study was to develop a smartphone app for use in patient controlled analgesia (PCA) education and to identify PCA knowledge and pain management following lower extremity orthopaedic surgery under spinal anesthesia in patients who received smartphone app education. Methods: Participants were 150 patients in an orthopaedic hospital located in Busan. The measurement variables used in this study were PCA knowledge, pain management and pain level. For data analysis, SPSS/WIN 21.0 program was used in the analysis of the relation of frequencies. In addition, percentage, mean and standard deviation, t-test, ANOVA, Duncan, Pearson's correlation coefficients were also assessed. Results: The score for knowledge regarding PCA was $4.27{\pm}1.64$. The correlations between knowledge and pain management (button push times

• 한국인터넷방송통신학회논문지
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• 제13권5호
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• pp.135-142
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• 2013

하드웨어와 부품 소재 산업의 급속한 발전으로 휴대 단말의 진화가 거듭되고 있으며, 모바일 폰을 이용한 다양한 응용 기술들이 최근 스마트 응용의 주류를 이루고 있다. 특히 스마트 기기의 카메라 모듈을 이용한 흥미로운 어플들이 지속적으로 개발되고 있어 다양한 모바일 응용의 사용이 가능하게 되었다. 본 논문에서는 스마트 기기의 카메라 모듈로 촬영한 화상 이미지내의 특정 피사체의 실물 크기를 비교적 정확하게 계측하기 위한 스마트 폰 어플을 설계하고 구현하였다. 이때 피사체의 정확한 계측을 위해 촬영 상황에 따라 4가지 계측 모드로 구현하였고, 스마트폰 기종이나 시스템 SW에 따라 촬영 결과 화상 이미지의 차이를 최소화할 수 있도록 0점 조절 모듈을 두어 조정하였다. 본 논문에서 구현한 어플의 계측 정확도는 모의실험을 통해 비교 분석하였다.

• Journal of Radiation Protection and Research
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• 제47권2호
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• pp.67-76
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• 2022

Background: We conducted a cross-sectional study of residents within and outside Fukushima Prefecture to clarify their perceptions of the need for smartphone applications (apps) for explaining exposure doses. The results will lead to more effective methods for identifying target groups for future app development by researchers and municipalities, which will promote residents' understanding of radiological situations. Materials and Methods: In November 2019, 400 people in Fukushima Prefecture and 400 people outside were surveyed via a web-based questionnaire. In addition to basic characteristics, survey items included concerns about radiation levels and intention to use a smartphone app to keep track of exposure. The analysis was conducted by stratifying responses in each region and then cross-tabulating responses to concerns about radiation levels and intention to use an app by demographic variables. The intention to use an app was analyzed by binomial logistic regression analysis. Text-mining analyses were conducted in KH Coder software. Results and Discussion: Outside Fukushima Prefecture, concerns about the medical exposure of women to radiation exceeded 30%. Within the prefecture, the medical exposure of women, purchasing food products, and consumption of own-grown food were the main concerns. Within the prefecture, having children under the age of 18, the experience of measurement, and having experience of evacuation were significantly related to the intention to use an app. Conclusion: Regional and individual differences were evident. Since respondents differ, it is necessary to develop and promote app use in accordance with their needs and with phases of reconstruction. We expect that a suitable app will not only collect data but also connect local service providers and residents, while protecting personal information.

• International Journal of Advanced Culture Technology
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• 제7권2호
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• pp.60-66
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• 2019

The purpose of this study was to compare the effect of educational smartphone app with the effect of learning using conventional paper material. We developed an educational app for nursing students to learn how to read blood pressure and how to take a pulse. Evaluated was the effect of the app-based education by measuring the short term memory (right after the education), the long term memory (a week later) and the satisfaction. 25 college nursing students participated for the experiment group using the app-based education and 25 for the control group using paper-based education. We applied for statistical analysis Fisher's exact test and Independent t-test. The satisfaction of the app user's appeared significantly higher than that of the paper material user's (t=2.322, p=0.024). The short term memory score was 0.23 points higher in the experimental group (6.46 points) than in the control group (6.23 points), which was not statistically significant (t =0.422, p =0.675). Similar result came for the long term memory (t=1.006, p=0.320). After adjusting for the effect of a college grade using ANCOVA, the effect on memory was significantly higher in the experiment group. There might be differences in learning ability between the experimental and the control groups.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2022년도 제65차 동계학술대회논문집 30권1호
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• pp.211-213
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• 2022

Images in the textbooks influence the learning process. Students often see pictures before reading the text and these pictures can enhance the power of imagination of the students. The findings of some researches show that the images in textbooks can increase students' creativity. However, when learning major subjects, reading a textbook or looking at a picture alone may not be enough to understand the topics and completely realize the concepts. Studies show that viewers remember 95% of a message when watching a video than reading a text. If we can combine textbooks and videos, this teaching method is fantastic. The "TEXT + IMAGE + VIDEO (Animation)" concept could be more beneficial than ordinary ones. We tried to give our solution by using machine learning Image Classification. This paper covers the features, approaches and detailed objectives of our project. For now, we have developed the prototype of this project as a web app and it only works when accessed via smartphone. Once you have accessed the web app through your smartphone, the web app asks for access to use the camera. Suppose you bring your smartphone's camera closer to the picture in the textbook. It will then display the video related to the photo below.

• 한국융합학회논문지
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• 제3권2호
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• pp.19-26
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• 2012

스마트폰의 등장과 모바일 앱 시장의 성장에 따라 게임 산업이 모바일을 중심으로 재편되고 있다. 따라서 본 연구는 모바일 앱 사용 특성과 더불어 모바일 게임 앱 간의 관계를 연관성 규칙으로 알아봄으로써, 모바일 앱으로써 게임의 특성을 찾아내고 이를 기반으로 모바일 게임 앱의 촉진과 모바일 게임 앱에서 광고효과를 얻을 수 있는 모바일 앱은 무엇인지 알아보고자 한다.