• Title/Summary/Keyword: App Evaluation

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Development of Evaluation Indicators for the Usability Evaluation of Smart Home App Design (스마트 홈(Smart Home) 앱 디자인의 사용성 평가를 위한 평가지표 개발)

  • Li, Man;Kim, Maeng Ho
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.249-258
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    • 2019
  • Currently, people are paying more attention to smart home businesses. Therefore, the research on smart home system is becoming important. Smart Home App, which is an important component of smart home system, needs to consider the development of evaluation indicators for usability. In this regard, this paper takes smart home App as the object to develop the usability evaluation indicators of smart home App design. For this purpose, this study performed three rounds of survey by using the Delphi method. In the first round, 8 suitable areas were selected by collecting opinions from experts and analyzing the Content Validity Ratio, which was derived from literature review. Based on the results of the first survey, a total of 38 evaluation items were collected through prior research and user interview surveys. For the 38 collected evaluation items, 27 evaluation items have been selected by analyzing Average Value, Standard Deviation, Content Validity Ratio, Consultation and Convergence in the second and third rounds. The result of this study can be used as a guideline when evaluating the usability of smart home App design.

An exploratory analysis and usability evaluation of fashion mobile applications - Focus on Korea and U.S. App stores -

  • Ju, Na-An;Lee, Davin;Jeon, Hyung Min;Lee, Kyu-Hye
    • The Research Journal of the Costume Culture
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    • v.21 no.2
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    • pp.287-300
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    • 2013
  • The aim of this study was to find typology of fashion-related mobile applications through exploratory investigation and to investigate differences in Korea and U.S. App stores. And then, through the qualitative evaluation about fashion mobile applications, this study proposes fashion mobile application's design and contents which can be preferred by users. By conducting keyword search in each store, 122 Korean applications and 150 US applications were analyzed. Empirical findings revealed that there were seven major types of fashion mobile applications: brand, magazine, information, SNS, game, shopping and coordination. Information type applications took up the largest portion, and SNS and game type applications showed higher ranking among customers. There were more game Apps in US and more shopping Apps in Korean stores. More free Apps were found in Korean App stores, whereas relatively more paid Apps were found in US App stores especially in game, magazine and information type applications. And as a result of usability evaluation of fashion mobile application, users prefer SNS and information category application to shopping and brand category. Also users want continuous improvement and new contents for fashion mobile application.

Spinosin Inhibits Aβ1-42 Production and Aggregation via Activating Nrf2/HO-1 Pathway

  • Zhang, Xiaoying;Wang, Jinyu;Gong, Guowei;Ma, Ruixin;Xu, Fanxing;Yan, Tingxu;Wu, Bo;Jia, Ying
    • Biomolecules & Therapeutics
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    • v.28 no.3
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    • pp.259-266
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    • 2020
  • The present research work primarily investigated whether spinosin has the potential of improving the pathogenesis of Alzheimer's disease (AD) driven by β-amyloid (Aβ) overproduction through impacting the procession of amyloid precursor protein (APP). Wild type mouse Neuro-2a cells (N2a/WT) and N2a stably expressing human APP695 (N2a/APP695) cells were treated with spinosin for 24 h. The levels of APP protein and secreted enzymes closely related to APP procession were examined by western blot analysis. Oxidative stress related proteins, such as nuclear factor-erythroid 2-related factor 2 (Nrf2), and heme oxygenase-1 (HO-1) were detected by immunofluorescence assay and western blot analysis, respectively. The intracellular reactive oxygen species (ROS) level was analyzed by flow cytometry, the levels of Aβ1-42 were determined by ELISA kit, and Thioflavin T (ThT) assay was used to detect the effect of spinosin on Aβ1-42 aggregation. The results showed that ROS induced the expression of ADAM10 and reduced the expression of BACE1, while spinosin inhibited ROS production by activating Nrf2 and up-regulating the expression of HO-1. Additionally, spinosin reduced Aβ1-42 production by impacting the procession of APP. In addition, spinosin inhibited the aggregation of Aβ1-42. In conclusion, spinosin reduced Aβ1-42 production by activating the Nrf2/HO-1 pathway in N2a/WT and N2a/APP695 cells. Therefore, spinosin is expected to be a promising treatment of AD.

Evaluation of Safeness and Functionality in Applied Technologies for Mobile Messengers

  • Cho, Gyu-Sang
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.8
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    • pp.29-39
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    • 2016
  • Recently, KakaoTalk users seek secure messengers with fears of 'possible' censorship over a mobile messenger. Instead German messenger "Telegram" is gaining popularity in South Korea. Are the known as secure messengers actually secure? In this paper, we evaluate secure mobile messengers in terms of private information protection. We establish the fourteen criteria to evaluate the functionality of messenger apps including communication encryption in transit, the possibility of leakage of decrypted messages via server, an encryption algorithm, a key exchange algorithm, an ephemeral message application, etc. Line, Telegram, Snapchat, WhatsApp, Wickr, Facebook Messenger and KakaoTalk, which have many worldwide and domestic users, are to be targeted. Wickr is ranked at the top of the evaluation, followed by Telegram and Line but KakaoTalk and Snapchat are ranked at the bottom of the evaluation list.

Exploring the Attractive Factors of App Icons

  • Ho, Chun-Heng;Hou, Kai-Chun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.6
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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.

Evaluation of the Effect of Educational Smartphone App for Nursing Students

  • Yeon, Seunguk;Seo, Sukyong
    • International Journal of Advanced Culture Technology
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    • v.7 no.2
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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.

Analysis and Evaluation of Users' Rating Targeted on Virtual experienced App, 'Hair Style Magic Mirror App' (가상 체험기반 헤어스타일 앱 'Hair Style Magic Mirror' 을 중심으로 본 사용자 데이터 해석과 평가분석)

  • Kim, Taejin;Chin, Seongah
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.12
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    • pp.6105-6110
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    • 2012
  • Smart devices have made our daily life more intelligent and provided convenient life styles in which advanced interface and high speed LTE enable us to have proliferation of empirical Apps. This research has analyzed and evaluated Unstructured data from the users who experienced 'Hair Style Magic Mirror App' by focusing on emotional information. Further this study suggests some directions that the application development industry should take in the near future. The findings through Chi-Square analysis indicate that the application has not affected the overall satisfaction of the consumers; consumers received higher satisfaction in paid version of applications than free versions. Emotional Information analysis shows that users value the practicality of each application the most. Thus, the application developers should focus on practicality and sensitivity side corresponding to the demand of consumers.

A Study on the Development of Mobile APP Usability Evaluation Tool for Time Management (시간관리 모바일 앱 사용성 평가도구 개발에 관한 연구)

  • Lee, Saem;Nam, Won-Suk
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.19-29
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    • 2021
  • Although several industrial revolutions and technological developments have provided time for modern people, more than 75% of modern people are currently suffering from the problem of "lack of time". Therefore, in this paper, it was judged that it was necessary to improve the mobile APP service for efficient time management of modern people, and a study was conducted on the development of usability evaluation tools. First, the current status was analyzed through case studies of six time management apps with different purposes, and then usability studies were conducted to establish a total of five evaluation principles with operability, cognition, user suitability, minimization of work errors, and sharing. Based on this, a draft of the time management mobile app usability evaluation item was prepared, and a total of 44 usability evaluation tool items were derived through three Delphi surveys of design experts over 5 years and less than 10 years. As a result, intuitive screen and menu composition and user's perception of content were evaluated as the most important factors, and conclusions such as the need to improve the structure and function of the main content screen for user error prevention and usability were drawn. This study will not only contribute to improving the usability of existing time management mobile apps, but will also be used as a material for designing an integrated time management platform for efficient time management and purpose promotion in the future, and is expected to be used as an academic reference.

Comparative Study of U-Healthcare Applications between Google Play Store and Apple iTunes App Store in Korea

  • Nam, Sang-Zo
    • International Journal of Contents
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    • v.10 no.3
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    • pp.1-8
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    • 2014
  • In this paper, we collect and analyze the status of mobile phone applications (hereafter apps) in the healthcare and fitness category of the Apple iTunes App Store and Google Play Store. We determine the number of apps and analyze statistical aspects such as classifications, age rating, fees, and user evaluation of the popular items. As of September 30, 2013, there were 236 popular apps available from iTunes. Google Play offered 720 apps. We discover that apps for healthcare and fitness are diverse. Apps for physical exercise have the greatest popularity. The proportions of apps that are suitable for all ages among the Google and iTunes popular apps are 55.8% and 89.4%, respectively. The user evaluation of apps in iTunes is relatively less positive. We determine that the proportion of paid apps to free apps in Google is higher than that of the apps in iTunes. We perform hypothesis tests and find statistically significant differences in age rating and perceived satisfaction between the apps of the Apple iTunes App Store and Google Play Store. However, we find no meaningful differences in the classification and price of the apps between the two app stores. We perform hypothesis tests to verify the differences in age rating and perceived satisfaction between the paid and free apps within and across the Google Play Store and iTunes App Store. There are statistically significant differences in the age rating between the paid and free apps in the Google play store, between the Google free and iTunes free apps, between the Google paid and iTunes paid apps, between the Google free and iTunes paid apps, and between the Google paid and iTunes free apps. There are statistically significant differences in the perceived satisfaction between the Google free and iTunes free apps, between the Google paid and iTunes paid apps, between the Google free and iTunes paid apps, and between the Google paid and iTunes free apps.

Performance Evaluation of App Profile-based Sensor Registry System considering User Mobility and Sensor Density (사용자 이동성과 센서 밀집도를 고려한 앱 프로파일 기반 센서 레지스트리 시스템의 성능 평가)

  • Kim, Jong Hyun;Lee, Sukhoon;Jeong, Dongwon
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.4
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    • pp.87-97
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    • 2019
  • SRS was proposed for immediate processing of the meaning of sensor data on mobile devices independent from specific sensor networks and sensor type. However, each time new sensor data is received, sensor data inspection operations are performed repeatedly, and it cause resulting in low performance. App profile-based SRS has been proposed to resolve the problem. The app profile-based SRS has improved the SRS problem through the profile, but has been tested in a virtual simulation environment. After that the test was experimented in a real-time environment, but has not been tested with a variety of dynamic factors. Therefore, this paper experiment considering such as user mobility and sensor density in real-time environment. And this paper also evaluate performance of the App profile-based through analysis of the results of the experiment. As a result, app profile-based SRS is high influence by density and sensor type, and the number of sensor node is not influence.