Mobile Application Development Research Articles

A Framework for Innovating the Technological Startup in the Cordillera Region through an E-commerce Mobile Platform

The technological startup community is beginning to be recognized in solving various needs in the Cordillera region. However, these technological startups have limited growth because they encounter challenges such as financial concerns, limited market reach, lack of awareness of intellectual property rights, and inadequate digital infrastructure. Thus, the researcher proposed the development of an e-commerce mobile application that addresses the needs of startups. Through the use of data gathering techniques, the researcher was able to determine the design considerations in terms of the architecture framework and features of the e-commerce mobile application that addressed the problems encountered by startups in the Cordillera region. The use of the 4+1 view model illustrated the architecture framework of the e-commerce mobile platform for intended stakeholders by providing a logical view, process view, physical view, development view, and scenario view. The architecture framework was used to determine the features to be integrated into the proposed e-commerce mobile application to address the challenges of the technological startups of the Cordillera region.

Development of mobile application to promote revisits to Kenrokuen using gamification theory

Development of mobile application to promote revisits to Kenrokuen using gamification theory

Covid Classification System for Covid Detection

The ongoing global pandemic, which has now become an endemic has had a significant impact on the educational sector. Despite advancements in technology, there is no real- time prevention of COVID-19 transmission especially UiTM Tapah students that must go through crowd to reach health unit and have high possibility of spreading the disease. This research aims to develop a mobile application by utilizing machine learning for UiTM Tapah students to classify their COVID-19 status. To ensure a systematic and efficient development process, the research adopted the Mobile Application Development Life Cycle (MADLC) methodology. Within the application, the core of the machine learning functionality lies in the implementation of an Artificial Neural Network (ANN). By using 5,434 samples of data that had previously been classified by previous studies that analyzed student data such as symptoms to identify potential cases of the virus. The ANN approach performed greatly with the accuracy of 98%. Feedback from 32 respondents helped identify students' difficulties during the pandemic, which results in majority of the respondents agreeing that MCO affecting them adapting to online learning, and access to healthcare facilities. Furthermore, the usability testing conducted using the System Usability Scale (SUS) provided valuable insights into the system's user-friendliness and effectiveness. The results indicated a high level of usability, with a SUS score of 88.3 from 30 UiTM Tapah students while 76.25 from UiTM Tapah lecturers. This system was usable to classify the risk of infection among students who had not yet been diagnosed, while having some room for improvements. The system's ability to identify infected individuals promptly and accurately aided in controlling the spread of the virus, thereby protecting both students and staff. Thus, the classification system by using ANN was a valuable tool for public health organizations in their efforts to combat the COVID-19 pandemic.

Developing a Web-based Agro-Application

This publication discusses the general concept of web and mobile application development and provides knowledge and stepwise instructions to develop an application in agricultural systems. The primary audience is researchers, extension personnel, consultants, and students who are interested in developing and using web and mobile applications for decision-making.

The development and pilot of a novel mobile application to assess clinician perception of workload and work environment.

Traditional measures of workload such as wRVUs may not be adequate to understand the impact of workload on key outcomes. The objective of this study was to develop a mobile application to assess, in near real time, clinicians' perception of workload and work environment. We developed the GrittyWork™ application (GW App) using the Chokshi and Mann process model for user-centered digital development. Study occured at a single academic medical center with hospitalist clinicians. Measures included the System Usability Scale (SUS), use measures from GW App, electronic health record (EHR) event log data and note counts, and qualitative interviews. From October 28, 2022 to November 3, 2022, six hospitalist clinicians provided feedback on the early prototype of the GW App, and from February 28, 2023 to June 8, 2023, 30 hospitalist clinicians participated in the pilot while on clinical service. All 30 clinicians (100%) participated in the pilot submitting data for a total of 122 shifts. Participants reported working 10 ± 1 h per day (mean ± SD) and were responsible for an average of 11 ± 3 patients per day. The postpilot evaluation of the GW App showed a SUS score of 86 ± 11 and a participant preference toward mobile application-based surveys (73% of participants). Regarding workload measures, EHR event log data and notes data correlated with physician-reported workloads. Applying user-centered design techniques, we successfully developed a mobile application with high usability. These data can be paired with EHR event log data and outcomes to provide insights into the impact of workloads and work environments on outcomes.

PERSPECTIVES АND POSSIBILITIES ОF USING ARTIFICIAL INTELLIGENCE DURING AUTOGENIC TRAINING FOR PSYCHOPHYSIOLOGICAL STATE CORRECTION

The article explores the development of autogenic training for the correction of psychophysical states using artificial intelligence tools. The research aims to organise the application areas of artificial intelligence for diagnosis and correction of psychophysical states through autogenic training. The results indicate that autogenic training is an important approach in the spectrum of treatment methods for psychophysical disorders, with its main advantages being the flexibility of the technique and its ability to induce relaxation and psychophysiological self-regulation through passive concentration and repetition of specific phrases. The analysis shows that while the practice is stable and consists of sequential procedures, it can be adapted to different techniques and needs. Here, the use of artificial intelligence (AI) can significantly improve the personalisation of the treatment process and its effectiveness. The application of AI in the context of autogenic training opens up new perspectives for the diagnosis and treatment of psychophysical disorders. AI can optimise psychotherapeutic interventions by adapting training sessions to the individual needs of the user, thereby achieving better results in relaxation and psychophysical recovery. A distinctive feature of AI is also its ability to provide detailed feedback and track user progress, contributing to more effective adjustment and improvement of the training process. The integration of AI with virtual and augmented reality technologies can further enhance the autogenic training experience, creating a more immersive and controlled environment for relaxation. The development of digital tools and mobile applications based on AI has already demonstrated its positive impact on the psychophysical health of users, paving the way for more innovative and effective solutions in the future. Thus, the use of AI in autogenic training for the correction of psychophysiological states promises significant prospects for improving the quality of life and well-being of individuals.

Challenges Faced by Users and Developers in Cross-Platform Mobile Application Development Using Flutter and React

Challenges Faced by Users and Developers in Cross-Platform Mobile Application Development Using Flutter and React

Redesigning Android Development: Using Reactive Programming to Retrofit REST APIs and Concurrency

In this paper the current techniques and tools used by developers to create applications are described in detail and the use of REST APIs in Android applications as a case study. The first component is the installation of the APIs, which we will focus on the Retrofit library for network management, and the API Clients to manage requests. This study evaluates the nuances of JSON parsing, serialization, and deserialization through the Retrofit API client. We study the technique of data searching, the introduction of Tap Drawer using Firebase to improve the app functionality, and the string transformation method of Scalar with JSON Converter Factory.The tutorial explains how to set up an API, design an interface for Product ID query, use a Binding Adaptor for handling images and a Glide dependency to load images. As well, we consider how to create a Product Adaptor for a Recycler View which leverages Fragments to implement complex user interfaces. According to the plan of Android development, we absorb width, wrap content and verticality alignment as layout factors.The building of the “Adapter List” based on the “Create View Holder” function and the creation of Product Model class — which consists of fields for ratings and product details — as well as the JSON integration are presented in the article. Asynchronous processes are applied in the application as well as the `enqueue` technique has been used to provide effective network connection.We intend to acquire an experimental data by app scanning on the Android platform, by referring to Stack Overflow's most favourite pages and through a survey of mobile application developers in order to build a code collection associated with REST mobile client technologies. From our findings it follows that application communicating through the Internet phenomenon associated with JSON syntax implementation in comparison to XML data processing execution rather widespread and acceptable in terms of Android developers. We include the HTTP libraries standardized by third-party organizations in the paper which also explains how to use the practices.In unity, we discuss the perks of Android system uniqueness which facilitates the application customization, suppliers and the consumers, in terms of security, usability, and usefulness. Our app framework for Android offers coronary adjust to existing apps through behaviour simply without accessing or modifying app source code but sticks to the universal app-agnostic transformation objectives. This architecture is thus designed to allow the modified software version to function without any hindrance on any normal Android device. Keywords- REST API, Android, Retrofit, Firebase, Gson, Recycler View, JSON parsing, HTTP libraries, refactoring, Android programming principles.

Navigating Information Technologies in Everyday Psychiatry Practice: A Guide for Early Career Psychiatrists

AbstractThis presentation provides an overview of the impact of information technologies on contemporary psychiatric practice, focusing on resources and strategies beneficial for early career psychiatrists. Considering the increasing role of digital technologies in diagnosing and treating mental disorders, the presentation emphasizes the practical applications of artificial intelligence (AI) and machine learning. These technologies offer novel approaches for analyzing large volumes of clinical data, enhancing diagnostic accuracy, and personalizing treatment.The presentation further examines ethical and legal issues associated with using digital technologies in psychiatry, including ensuring data confidentiality and complying with patient rights. The importance of developing competencies in information security and ethical principles when using digital tools is highlighted.The talk concludes with an overview of the current and future trends in the use of digital technologies in psychiatry, including the development of virtual therapeutic environments and mobile applications for monitoring and supporting mental health. Examples of successful integration of these technologies into clinical practice are presented, emphasizing their potential to improve the quality of patient care. Overall, the presentation underscores the importance for early career psychiatrists of mastering information technologies, highlighting their role in enhancing diagnosis, treatment, and patient care, as well as discussing the challenges and opportunities they present.Disclosure of InterestNone Declared

ImageAssist: A Novel Smartphone Application for Standardized Clinical Photography That Implements and Automates American Society of Plastic Surgery/Plastic Surgery Foundation Photographic Guidelines With Background Deletion.

Standardized medical photography of the face is a vital part of patient documentation, clinical evaluation, and scholarly dissemination. Because digital photography is a mainstay in clinical care, there is a critical need for an easy-to-use mobile device application that could assist users in taking a standardized clinical photograph. ImageAssist was developed to answer this need. The mobile application is integrated into the electronic medical record (EMR); it implements and automates American Society of Plastic Surgery/Plastic Surgery Research Foundation photographic guidelines with background deletion. A team consisting of a craniofacial plastic surgeon and the Health Information Technology product group developed and implemented the pilot application of ImageAssist. The application launches directly from patients' chart in the mobile version of the EMR, EPIC Haiku (Verona, Wisconsin). Standard views of the face (90-degree, oblique left and right, front and basal view) were built into digital templates and are user selected. Red digital frames overlay the patients' face on the screen and turn green once standardized alignment is achieved, prompting the user to capture. The background is then digitally subtracted to a standard blue, and the photograph is not stored on the user's phone. ImageAssist initial beta user group was limited to 13 providers across dermatology, ENT, and plastic surgery. A mix of physicians, advanced practice providers, and nurses was included to pilot the application in the outpatient clinic setting using Image Assist on their smart phone. After using the app, an internal survey was used to gain feedback on the user experience. In the first 2 years of use, 31 users have taken more than 3400 photographs in more than 800 clinical encounters. Since initial release, automated background deletion also has been functional for any anatomic area. ImageAssist is a novel smartphone application that standardizes clinical photography and integrated into the EMR, which could save both time and expense for clinicians seeking to take consistent clinical images. Future steps include continued refinement of current image capture functionality and development of a stand-alone mobile device application.

ANALISIS KEPERLUAN: PEMBANGUNAN PENDIGITALAN PEDAGOGI MUDAH ALIH PENDIDIKAN SENI VISUAL SEKOLAH RENDAH

Needs analysis study was conducted to see the need for the development of pedagogy digitization mobile applications for Primary School Visual Art Education. Pedagogy digitization based on Information and Communication Technology as a medium for delivering digital learning. The digitization of pedagogy is in line with the development of the current era of globalization of education in line with Industrial Revolution 5.0. The learning medium is based on mobile applications that can spark students' interest in teaching and learning by applying interactive multimedia elements in the delivery of learning materials. The purpose of this study is to analyze the need to develop pedagogical digitization mobile applications for the subject of Visual Arts Education in Primary Schools. This is in the form of a quantitative study using a questionnaire instrument. The respondents of the study consisted of 300 Visual Arts Education teachers who teach in primary schools. The data obtained was analyzed descriptively using SPSS software to measure the need for the development of mobile pedagogy digitization from the perspective of knowledge level, the level of frequency, the level of skill and the level of need. The results of data analysis show a high interpretation of the need for the development of a mobile pedagogical digitization application for Primary School Visual Arts Education to meet the challenges of the digitalization era of education. The impact of the study shows that the digitization of mobile pedagogy integrated with technology for the subject of Visual Art Education in Primary School can have a good impact on students and teachers.

Mobile Applications for Self-Handle of Pornography Addiction

Content with pornographic nuances in the form of images, sound, and videos is widely circulating on the internet, including on social media. Teenagers have great potential to become addicted to pornographic content given the widespread use of the internet among adolescents. Pornography addiction has the potential to interfere with the physical and mental development of addicts, even a wider impact can lead to criminal cases in society, such as rape. This paper discusses the development of mobile applications that aim to help pornographic content addicts get rid of pornography addiction problems. The applications developed include a system for assessing the level of exposure to pornographic content, handling and self-care of pornographic content, and a system for detecting the user's location in solitude. The rating system was adapted from the Pornography Addiction Screening Tool (PAST). Handling and self-care pornographic content use the psychological approach of Cognitive Behavioral Therapy (CBT) which has been widely researched and used as a method for mental treatment and healing. An assessment system for the level of exposure to pornographic content and self-care is presented in the application by utilizing chatbot to increase the interactive between the user and the application. The research method uses the Design Research Methodology (DRM) while the method in developing mobile applications uses Agile models as an adaptive software development method. This application is not intended to replace the role of psychologists, but as a supporting tool that can help pornography addicts to reduce their addiction level until they recover. Through black box testing, evaluation results from a functional perspective show that this application can be used as expected.

“I can't cry on cue”: Exploring distress experiences of persons with sickle cell

Persons with sickle cell disease exhibit high levels of distress, which has been documented with validated measures. However, there has been little qualitative investigation of the sources of distress in the lives of persons with sickle cell or the strategies they use to manage different sources of distress. Our study sought to: (1) identify sources of distress for persons with sickle cell, (2) explore management strategies for different sources of distress, (3) inform content development of the future mobile phone application, and (4) incorporate patient voices in the design and development phases of the future mobile phone application. In this manuscript, we present findings for the first objective. Using convenience sampling, we recruited participants with sickle cell (n = 11) from a home visit program at The Ohio State University Wexner Medical Center between February and July 2021. One team member conducted one-on-one semi-structured interviews with participants. We coded and analyzed all transcripts. Participants identified clinical encounters in the emergency department and intermediate care center to manage acute pain flares as the most profound source of distress. Our analysis identified four themes: (1) Pain has performative features, (2) Stigma and racism surround care, (3) Sickle cell is a neglected disease, and (4) Participants lack control over their pain management plan. Researchers may wish to consider how these settings can foster distress, and providers may wish to adopt participant recommendations to reduce distress associated with seeking pain treatment in acute care settings.

비즈니스 트리즈를 활용한 식품제조업체 성과 향상 방안에 관한 연구

This study was conducted using business TRIZ to develop strategies for the continuous growth, development, and performance improvement of 6th industry certified food manufacturing companies located in the Gyeongbuk region. For this purpose, a survey was conducted targeting 6th industry certified companies in Gyeongsangbuk-do, through which the problems faced by food manufacturing companies and their causes were identified. Based on these problems and causes, key tasks were established, and core issues were derived. Subsequently, these core issues and causes were matched with business TRIZ parameters and applied to a matrix to derive solutions. Based on these solutions, specific measures for improving the performance of 6th industry certified food manufacturers in the Gyeongbuk region were proposed. Firstly, there is a need to expand the organic and eco-friendly product lines and diversify the product lineup to cater to different consumer segments. Secondly, establishing a consumer review and feedback system is crucial, and it is important to improve and re-launch products based on the feedback obtained. Thirdly, launching new products in colors based on market trend analysis and developing product packaging designs that reflect regional characteristics are necessary. Fourthly, expanding product sales through collaboration and joint marketing with local enterprises, as well as partnerships with large franchise corporations, is essential. Lastly, the development of mobile applications for product ordering and promotion, along with promoting and boosting sales through temporary stores, is intended to foster the development of 6th industry food manufacturers in the Gyeongbuk region.

A Fuzzy AHP Approach to Evaluating the Fuzzy Weight of Mobile Game Application Software Quality Factors: Usability Expectations for Novice Users

Mobile games have become a popular way to pass the time, and an increasing number of new and inexperienced users are searching for enjoyable and simple-to-learn experiences. It is essential to ensure that the software of these mobile games is intuitive and of high quality in order to keep users satisfied and coming back. However, it is difficult to assess the subjective and frequently nebulous expectations of first-time users. In between the development of mobile game applications, stakeholders in the mobile game industry are continually exploring applications whose quality is measured. The deployment of this effort will be facilitated by the quantification of qualitative aspects that depend on software quality factors. Thus, it is crucial to choose the proper evaluation strategy. The evaluation is based on two parameters: fuzzy rate and fuzzy weight. The evaluation of a five-point fuzzy rating system is based on surveys or questionnaires, and it involves straightforward inputs. Fuzzy weight refers to the relative significance of software quality aspects, and it is determined by stakeholders responsible to ensure appropriate quality of mobile application, ensuring that the crisp sum is equal to one. This may be achieved when stakeholders agree on the relative significance or pairwise comparison of software quality factors and examine their relative value. This technique guarantees that the total assessment of quality converges in the correct direction. This paper presents a novel application of the Fuzzy Analytic Hierarchy Process (FAHP) that evaluates the appropriate fuzzy weight for software quality factors of mobile game applications, particularly for neophyte users. This will aid the mobile game application industry in formulating and evaluating fuzzy weights to reinforce the process that converts qualitative to quantitative aspects during mobile application development.

UIGuider: Detecting Implicit Design Guidelines Using a Domain Knowledge Graph Approach

Mobile application developers must adhere to a set of design guidelines to ensure consistency in graphical user interfaces (GUIs) and strive for best practices. Violating these widely accepted design guidelines can negatively impact user experience and diminish an application’s market value. Although a few explicit design guidelines outline specific user interface layouts to avoid, substantial design knowledge remains scattered across various web pages. This implicit design knowledge includes design guidelines for UI component usage scenarios, anatomy, fine-grained categorizations, etc. Manually inspecting design guideline violations is knowledge-intensive and time-consuming, demanding high levels of expertise. To address this, we propose UIGuider, a novel approach to automatically constructing a component-based design knowledge graph using multimodal data. UIGuider can discern valuable text containing design guidelines, extract component and concept entities, and establish relationships among them. Our experiments demonstrate the effectiveness and usefulness of UIGuider in automatically detecting implicit design guidelines and constructing domain knowledge graphs. Additionally, the result presentation of a design violation detection tool is optimized. The results of user studies confirm that the use of the knowledge graph and real-world app datasets enhances the overall usability of the tool.

How project knowledge management develops volatile organizational memory

PurposeThis paper discusses the effects of enabling conditions of project knowledge management in building volatile organizational memory. The theoretical rationale underlies a recursive relationship among enabling conditions of project knowledge management, organizational learning and memory.Design/methodology/approachThis research employs a qualitative descriptive single case study approach to examine a mobile application development project undertaken by a major software company in Brazil. The analysis focuses on the project execution using an abductive analytical framework. The study data were collected through in-depth interviews and company documents.FindingsBased on the research findings, the factors that facilitate behavior and strategy in managing project knowledge pose a challenge when it comes to fostering organizational learning. While both these factors play a role in organizational learning, the exchange of information from previous experience could be strengthened, and the feedback from the learning process could be improved. These shortcomings arise from emotional tensions that stem from power struggles within knowledge hierarchies.Practical implicationsBased on the research, it is recommended that project-structured organizations should prioritize an individual’s professional experience to promote organizational learning. Organizations with well-defined connections between their projects and strategies can better establish interconnections among knowledge creation, sharing and coding.Originality/valueThe primary contribution is to provide a comprehensive view that incorporates the conditions required to manage project knowledge, organizational learning and memory. The findings lead to four propositions that relate to volatile memory, intuitive knowledge, learning and knowledge encoding.

Mobile Application Software as Guidance and Counselling Tool for Students of Federal College of Education, Gidan Madi

This project aims to develop a Mobile Application Software as a Guidance and Counselling Tool for Students of Federal College of Education Gidanmadi, Sokoto State, Nigeria. The goal is to provide students with a convenient, accessible, and effective way to access mental health services and support. The project involves a needs assessment, literature review, conceptual framework development, user interface design, mobile application development, usability testing, data analysis, design changes and evaluation. The methodology will be tailored to the specific needs and goals of the research, and may involve different stages and methods depending on the context and resources available. The expected results of developing a mobile application software as a guidance and counselling tool for students include increased accessibility, improved student well-being, enhanced counselor efficiency, greater student engagement, increased student retention, and improved student satisfaction. At the end of the research the students can be able to use the mobile application software for easy access to counselling and guidance services that can help them cope with various challenges they face in their academic and personal life. Guidance and counseling, Information and communication technology, Mobile application

Usability of a Mobile Application on Anemia Prevention among Adolescents

The availability and usability of a smartphone application in Indonesia for preventing anemia, particularly for adolescents, are understudied due to the large number of health applications available for hematologic diseases. This research aims to provide a comprehensive overview of a mobile application development process to prevent anemia among adolescents and test its usability to the end user. The study analyzed the usability of a hybrid application called "AneMia-Prev" at a junior high school in Serang, Banten, Indonesia. The application was developed through conducting a content review, creating a prototype, and undergoing expert development. The usability was assessed by 15 adolescents using a Think Aloud and Smartphone Usability questionnaire. Meanwhile, data analysis was conducted using Jaspers' iterative 3-cycle model. The AneMia_Prev (TA) application was developed using server-client architecture, MySQL database, Apache Tomcat, and Spring Framework. A usability test was conducted on 15 female end users, with a mean age of 16.8 years and 60.0% of them in grade 8. The application received an overall usability average of 112.5 points, indicating good usability. The study demonstrates the high usability of the prototype, indicating its effectiveness, efficiency, and satisfaction, suggesting that future research could use TA methods with larger sample sizes

Implementation of Service Oriented Architecture in Mobile Applications to Improve System Flexibility, Interoperability, and Scalability

This research aims to apply Service Oriented Architecture (SOA) to mobile applications to improve the flexibility, interoperability, and scalability of the system. SOA is an approach that enables better integration between different components in an application architecture. Mobile applications, as an integral part of everyday life, require high flexibility and adaptability to changing user needs. The research method used involves application requirements analysis, SOA architecture design, and implementation on an existing mobile application. Through the implementation of SOA, resource management and service distribution become more efficient, making it easy to add or change features without affecting the entire system. Test results show improved application performance and responsiveness, along with the ability to easily integrate services from multiple sources. In addition, the SOA architecture provides flexibility in the development and maintenance of mobile applications, accelerating the development process and minimizing the impact of changes. This research contributes to the development of mobile applications by introducing the SOA approach as an architectural foundation. The implementation of SOA in mobile applications is expected to guide developers in creating systems that are more resilient, adaptive, and easy to integrate with rapidly evolving software environments.