scholarly journals Content Analysis of Mobile Device Applications for Artistic Creation for Children between 4 and 12 Years of Age

2021 ◽  
Vol 11 (23) ◽  
pp. 11327
Author(s):  
Sara Domínguez-Lloria ◽  
Rut Martínez López de Castro ◽  
Sara Fernández-Aguayo ◽  
Margarita Pino-Juste
Keyword(s):  
Content Analysis ◽  
Mobile Applications ◽  
Interface Design ◽  
Mobile Apps ◽  
Visual Design ◽  
Age Group ◽  
Creative Development ◽  
Device Applications ◽  
Interface Usability

This article presents the results of the content analysis of 32 painting and drawing mobile applications aimed at children between 4 and 12 years old. The characteristics of the artistic dimension were studied, such as the possibilities of drawing, color, and experimentation, as well as the characteristics of the technical dimension related to the visual design of the interface, usability, and adaptability to users. The results collected show that mobile apps offer tools that have great potential for artistic and creative development, but also reveal certain limitations and problems in the quality of the graphic tools and interface design. One of the central problems of the interfaces of these apps is related to decontextualization and the lack of attention to the diversity and the heterogeneity of users in that age group.

scholarly journals Reverse engineering approach for improving the quality of mobile applications

2019 ◽  
Author(s):  
Eman K. Elsayed ◽  
Kamal A. ElDahshan ◽  
Enas E. El-Sharawy ◽  
Naglaa E. Ghannam
Keyword(s):  
Reverse Engineering ◽  
Mobile Applications ◽  
Structural Design ◽  
Mobile Apps ◽  
Engineering Approach ◽  
Long Time ◽  
Android App ◽  
Android Applications ◽  
Programming Quality

Background: Portable applications (Android applications) are becoming increasingly complicated by mind-boggling programming frameworks. Applications must be produced rapidly and advance persistently in order to fit new client requirements and execution settings. However, catering to these imperatives may bring about poor outline decisions on design choices, known as anti-patterns, which may possibly corrupt programming quality and execution. Thus, the automatic detection of anti-patterns is a vital process that facilitates both maintenance and evolution tasks. Additionally, it guides developers to refactor their applications and consequently enhance their quality. Methods: We propose a reverse-engineering approach to analyze Android applications and detect the anti-patterns from mobile apps. We validate the effectiveness of our approach on a set of popular mobile apps such as YouTube, Whats App, Play Store and Twitter. The result of our approach produced an Android app with fewer anti-patterns, leading the way for perfect long-time apps and ensuring that these applications are purely valid. Results: The proposed method is a general detection method. It detected a set of semantic and structural design anti-patterns which have appeared 1262 times in mobile apps. The results showed that there was a correlation between the anti-patterns detected by an ontology editor and OntoUML editor. The results also showed that using ontology increases the detection percentage approximately 11.3%, guarantees consistency and decreases accuracy of anti-patterns in the new ontology.

scholarly journals An Empirical Analysis of Mobile Apps’ Popularity Metrics in Mobile Software Ecosystems

2016 ◽  
Author(s):  
Ludymila L. A. Gomes ◽  
Awdren L. Fontão ◽  
Allan J. S. Bezerra ◽  
Arilo C. Dias-Neto
Keyword(s):  
Mobile Applications ◽  
User Satisfaction ◽  
Mobile Apps ◽  
Mapping Study ◽  
Mobile Platforms ◽  
Technical Literature ◽  
Software Ecosystem ◽  
Software Ecosystems ◽  
Mobile Software

The growing of mobile platforms in the last years has changed the software development scenario and challenged developers around the world in building successful mobile applications (apps). Users are the core of a mobile software ecosystem (MSECO). Thus, the quality of an app would be related to the user satisfaction, which could be measured by its popularity in App Store. In this paper, we describe the results of a mapping study that identified and analyzed how metrics on apps’ popularity have been addressed in the technical literature. 18 metrics were identified as related to apps’ popularity (users rating and downloads the most cited). After that, we conducted a survey with 47 developers acting within the main MSECOs (Android, iOS and Windows) in order to evaluate these 18 metrics regarding their usefulness to characterize app's popularity. As results, we observed developers understand the importance of metrics to indicate popularity of apps in a different way when compared to the current research.

Characteristics and Quality of Mobile Applications for Prenatal Genetic Testing: An Assessment (Preprint)

2021 ◽  
Author(s):  
Ko-Lin Wu ◽  
Rebeca Alegria ◽  
Jazzlyn Gonzalez ◽  
Harrison Hu ◽  
Haocen Wang ◽  
...  
Keyword(s):  
Genetic Testing ◽  
Pregnant Women ◽  
Mobile Applications ◽  
Visual Information ◽  
Mobile Apps ◽  
Mobile App ◽  
Educational Tool ◽  
Prenatal Genetic Testing ◽  
Genetic Tests

BACKGROUND Prenatal genetic testing is an essential part of routine prenatal care. Yet, obstetricians often lack the time to provide comprehensive prenatal genetic testing education to their patients. Pregnant women lack prenatal genetic testing knowledge, which may hinder informed decision-making during their pregnancies. Due to the rapid growth of technology, mobile applications (apps) are a potentially valuable educational tool through which pregnant women can learn about prenatal genetic testing and improve the quality of their communication with obstetricians. The characteristics, quality, and number of available apps containing prenatal genetic testing information was, however, unknown. OBJECTIVE To conduct the first review to identify, evaluate, and summarize currently available prenatal genetic testing mobile apps using a systematic approach. METHODS We searched both the Apple App Store and Google Play to find mobile apps containing prenatal genetic testing information. The quality of apps was assessed based upon criteria adapted from two commonly used and validated mobile app scoring systems including “MARS” and “APPLICATIONS”. RESULTS Sixty-four mobile apps were identified. Of these, only two apps were developed for a specific prenatal genetic test. All other apps were either pregnancy-related (95.3%) or genetics (1.6%) apps that provided prenatal genetic testing information. The majority of the apps (76.5%) were developed by commercial companies. The mean quality assessment score of the included apps was 13.5, which was equal to the average of possible theoretical score. Overall, the main weaknesses of mobile apps in this review included the limited number of prenatal genetic tests mentioned, incomprehensiveness of testing information, unreliable and missing information sources, absence of developmental testing with users (not evidenced-based), high level of readability, and lack of visual information, customization, and a text search field. CONCLUSIONS Our findings suggest that the quality of prenatal genetic testing-related mobile apps must be improved, and that pregnant women should be cautious when utilizing these mobile apps for prenatal genetic testing information. Obstetricians should carefully examine mobile apps before referring any of them to their patients for use as an educational tool. Both improving the quality of existing mobile apps, and developing new, evidence-based, high-quality mobile apps targeting all prenatal genetic tests should be the focus of mobile app developers going forward.

Mobile Applications for Allergic Rhinitis

2018 ◽  
Vol 127 (11) ◽  
pp. 836-840 ◽  
Author(s):  
Albert H. Zhou ◽  
Varesh R. Patel ◽  
Soly Baredes ◽  
Jean Anderson Eloy ◽  
Wayne D. Hsueh
Keyword(s):  
Allergic Rhinitis ◽  
Operating Systems ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Mobile App ◽  
App Store ◽  
Search Terms ◽  
Pollen Forecast ◽  
Google Play

Objective: To study and review the currently available mobile applications relating to allergic rhinitis. Methods: The Apple and Google mobile app stores were queried with search terms relating to allergic rhinitis. Apps were assigned to categories and analyzed based on description and characteristics such as popularity, reviews, cost, platform, and physician involvement in development. Results: A total of 72 apps related to allergic rhinitis were identified. Fifty-four apps were unique, with 18 apps found on both operating systems. Forty (55.5%) apps were available in the Apple App store, and 32 (44.4%) apps were available in the Google Play app store. They were grouped into the following categories: patient education (18; 25%), journals (15; 20.8%), symptom tracking (14; 19.4%), clinical/private practice (13; 18.1%), pollen forecast (7; 9.7%), medical education (4; 5.6%), and other (1; 1.4%). The majority of apps were free of charge (67; 93.1%), with paid apps ranging from $1.47 to $4.99. Apps that were reviewed had an average rating of 3.9 out of 5. Physicians were involved in the development of 37 (51.4%) apps. Conclusions: The collection of mobile apps developed for allergic rhinitis includes those for both educational and clinical use. Mobile apps may have an increasing role in otolaryngic allergy and rhinology practices in the future. Thus, continued research is warranted to determine the best way to ensure the accuracy and quality of app content as well as the extent mobile apps can benefit allergic rhinitis patients.

scholarly journals Diet-Related Mobile Apps to Promote Healthy Eating and Proper Nutrition: A Content Analysis and Quality Assessment

2021 ◽  
Vol 18 (7) ◽  
pp. 3496
Author(s):  
Jihye Choi ◽  
Chongwook Chung ◽  
Hyekyung Woo
Keyword(s):  
Quality Assessment ◽  
Mobile Applications ◽  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Regression Analyses ◽  
Eligibility Criteria ◽  
Selection Of

Dietary mobile applications (apps) continue to hold promise for facilitating a healthy diet and managing nutrition. However, few studies have objectively evaluated the content and quality of such apps in Korea. The present study assessed the content and quality of dietary mobile apps using the Mobile App Rating Scale (MARS). We selected 29 dietary apps based on keywords and eligibility criteria for inclusion in the analyses. We conducted regression analyses to examine the association between app content and MARS scores. Most of the apps featured a tracking tool, while few featured rewards or follow-up management. Our quality assessment revealed that the top-rated apps have distinct levels of quality in terms of MARS scores. The regression analyses showed that the ways in which the apps provide information and motivate the users are statistically significant predictors of app quality. Our findings may facilitate the selection of dietary apps in Korea and provide guidelines for app developers regarding potential improvements in terms of content and quality.

scholarly journals Mobile Apps for Helping Informal Caregivers: A Systematic Review

2021 ◽  
Vol 18 (4) ◽  
pp. 1702
Author(s):  
Marina Sala-González ◽  
Virtudes Pérez-Jover ◽  
Mercedes Guilabert ◽  
José Joaquín Mira
Keyword(s):  
Systematic Review ◽  
Mobile Applications ◽  
Mobile Application ◽  
Mobile Apps ◽  
Informal Caregivers ◽  
Well Being ◽  
Poor Quality ◽  
Psychological Consequences ◽  
Common Problems

(1) Background: The physical and psychological consequences suffered by informal caregivers have been extensively studied. MHealth solutions appear to be an opportunity to help overcome the caregiver burden. The objective of this study was to evaluate available mobile applications for informal caregivers of people who are ill and to determine whether these mobile applications were developed considering the needs of caregiver users. (2) Methods: A systematic review was carried out using the MEDLINE, ProQuest, and Scopus databases. The information about mobile applications for informal caregivers was analyzed. This review examined studies published between January 2011 and July 2020 in English. The data extracted from each paper included the development of the mobile application, if that application was assessed considering the caregivers’ needs, functions of the mobile application, measures for evaluating caregivers’ needs, measures for evaluating the effectiveness of the mobile application, and the main results obtained. (3) Results: Eleven studies fulfilled the inclusion criteria. The most common functions of the apps were summaries with information about the person they care for, educational information, resources and services for caregivers, solutions to common problems during care, and questionnaires to assess caregivers’ well-being. Most of these studies assessed caregivers’ needs before designing mobile applications to adapt them to the needs of their users. (4) Conclusions: Mobile applications for caregivers appear to provide solutions for them. Moreover, the effectiveness of these apps will depend largely on whether their characteristics match users’ needs. Current studies have shown the poor quality of evidence.

A Survey on Islamic Mobile Applications for Children

2020 ◽  
pp. 599-628
Author(s):  
Fitria Maulida Machfud ◽  
Murni Mahmud
Keyword(s):  
Quality Assessment ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Secondary Sources ◽  
Sources Of Knowledge ◽  
Muslim Children ◽  
New Criteria

This paper investigates Islamic mobile applications for children and evaluates the quantity as well as the quality of such applications. The existing and new criteria for exploring Islamic mobile applications used in this study have been enhanced and extended from the level of quality assessment to a deeper aspect of Islamic mobile application's design and interface. Similarly, additional aspects have also been considered to analyse whether it is suitable for children in terms of language, examples used, and whether it is in accordance to the Islamic foundation of Shari'ah that relies on primary and secondary sources of knowledge, which are: Qur'an, Sunnah, and Fiqh Science. The finding shows that there are very few of Islamic apps for children, especially in Malay and Indonesian language. This study suggests that developers should design and develop more Islamic mobile apps for children, especially with education and entertainment features. This study also recommends some requirements and guidelines in designing Islamic apps that are suitable for Muslim children.

scholarly journals Content analysis of behavior change techniques in popular mobile apps for smoking cessation in France. (Preprint)

2020 ◽  
Author(s):  
Luz Bustamante ◽  
Cédric Gill Ménard ◽  
Sabrina Julien ◽  
Lucia Romo
Keyword(s):  
Smoking Cessation ◽  
Content Analysis ◽  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Smoking Cessation Treatment ◽  
Content Quality ◽  
Cessation Treatment ◽  
General Quality

BACKGROUND The mobile app market differs from country to country, and to date no previous review of smoking cessation applications (apps) content quality has been conducted in France. OBJECTIVE The current review aims to examine the general quality of the most popular smoking cessation apps in France and also determine the degree to which apps adhere to established behavioral and cognitive techniques (BCT’s) proven effective in clinical practice. METHODS A systematic research of smoking cessation apps was conducted in both Google Play and Apple store in the French market. The general quality of popular apps was rated with the Mobile App Rating Scale (MARS) and the therapeutical quality was assessed with the ratio of adherence of the BCT taxonomy for smoking cessation treatment. RESULTS 14 mobile apps met all the inclusion criteria of the content analysis. The inter-rater reliability varies from “substantial’ (0,79) to “almost perfect” (0,9) for both measures. The mean MARS score was 3,5 out of 5 (median 3,1- IQR 1,3). Findings suggest that popular apps focused primary on the functionality dimension of the MARS scale (4.2 out of 5). The average number of BCT techniques was 22, with a huge difference between apps (min=4/max=38). At least half of the apps addressed motivation (63%) and advise on using behavioral skills in order to quit or stay nonsmoker (62%). However, only a handful of apps gathered important information (42%) in order to deliver proper advice regarding the use of approved medication or the implementation of the behavioral techniques (31%). The average MARS score was positively correlated with the price (r = .70, p = < .001), and with the number of BCT’s used (r = .66, p = < .005). User rating was not correlated with any quality scale. CONCLUSIONS Content quality of popular smoking cessation apps in France varied by app type and price. Most popular apps propose in general a good quality content but lack the implementation of evidence based BCT’s associated with effectiveness on smoking cessation treatment. Further research is needed to evaluate the improvement of the quality content of smoking cessation apps in France.

scholarly journals Reverse engineering approach for improving the quality of mobile applications

2019 ◽  
Author(s):  
Eman K. Elsayed ◽  
Kamal A. ElDahshan ◽  
Enas E. El-Sharawy ◽  
Naglaa E. Ghannam
Keyword(s):  
Reverse Engineering ◽  
Mobile Applications ◽  
Structural Design ◽  
Mobile Apps ◽  
Engineering Approach ◽  
Long Time ◽  
Android App ◽  
Android Applications ◽  
Programming Quality

Background: Portable applications (Android applications) are becoming increasingly complicated by mind-boggling programming frameworks. Applications must be produced rapidly and advance persistently in order to fit new client requirements and execution settings. However, catering to these imperatives may bring about poor outline decisions on design choices, known as anti-patterns, which may possibly corrupt programming quality and execution. Thus, the automatic detection of anti-patterns is a vital process that facilitates both maintenance and evolution tasks. Additionally, it guides developers to refactor their applications and consequently enhance their quality. Methods: We propose a reverse-engineering approach to analyze Android applications and detect the anti-patterns from mobile apps. We validate the effectiveness of our approach on a set of popular mobile apps such as YouTube, Whats App, Play Store and Twitter. The result of our approach produced an Android app with fewer anti-patterns, leading the way for perfect long-time apps and ensuring that these applications are purely valid. Results: The proposed method is a general detection method. It detected a set of semantic and structural design anti-patterns which have appeared 1262 times in mobile apps. The results showed that there was a correlation between the anti-patterns detected by an ontology editor and OntoUML editor. The results also showed that using ontology increases the detection percentage approximately 11.3%, guarantees consistency and decreases accuracy of anti-patterns in the new ontology.

scholarly journals Interface Design of Learning Object Repository Based on Heuristic Approach/ Mereka Bentuk Antara Muka Repositori Objek Pembelajaran Berdasarkan Pemeriksaan Heuristik

2019 ◽  
Vol 11 (3) ◽  
Author(s):  
Siti Fadzilah Mat Noor ◽  
Shah Mohd Irwan Mat Ishak ◽  
Noraidah Sahari@Ashaari
Keyword(s):  
Interface Design ◽  
Learning Objects ◽  
Education Sector ◽  
Learning Object ◽  
Execution Phase ◽  
Heuristic Study ◽  
Learning Object Repository ◽  
Basic Functions ◽  
Interface Usability

A Learning Object Repository (LOR) is a concept of storage, reuse and sharing of learning objects accompanied by the community in the education sector consists of students and educators. One of the elements identified to distinguish the quality of a learning object repository is the interface usability. Usability is critical for the success of an application to help users achieve their objectives. Based on previous studies, very few researches have been conducted to highlight problems in the usability of LORs. In addition, the current LOR interfaces did not help facilitate users to achieve the objectives of their assignments. Hence, a comprehensive heuristic study on interface usability was conducted on three chosen LORs in order to identify the basic functions that must exist in the LOR interface, to develop an interface prototype to be used as a model reflecting the heuristic results, and to perform tests on the interface prototype developed. The methodology of this study involves three phases: planning, execution, and development. In the execution phase, the severity ratings for the LOR interfaces were identified by Nielsen Evaluation. The prototype was tested to ensure that the usability principles were adhered.

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