Prototype Of Mobile Application Research Articles

OUTB: application for decision-support in the outcomes of Tuberculosis

Brazil is among the 30 countries with the highest tuberculosis prevalence, and many studies are trying to understand and fight the harmful outcomes of this disease. In that sense, the following project proposes the development of a mobile application prototype that centralizes diagnosis aid tools for tuberculosis, making the process more transparent for the patient, using the Single Patient Application (SPA) concept. The application was built based on JavaScript and the frameworks chosen were Vue Framework along with Framework7 due to its focus on interface components. Communication with the back-end was done through AJAX calls. As a result, a prototype was built with the five main screens that the user will interact with: authentication/login screen, home screen, list of available algorithms, outcomes algorithm home screen and patient history. The interface design is expected to facilitate the planning of other application areas and contribute to defining business rules. Once implemented on the server side, these rules can support an organized, patient-centered tuberculosis database.

Development and validation of a mobile application prototype for postoperative cardiac surgery

RESUMO Objetivos: desenvolver e validar os conteúdos, a aparência e a semântica do protótipo de um aplicativo para acompanhamento de pacientes em pós-operatório de cirurgia cardíaca. Métodos: estudo de desenvolvimento tecnológico baseado no Design Instrucional Contextualizado. A avaliação de conteúdo e aparência foi realizada por um comitê de especialistas, e a validação semântica foi realizada por pacientes do ambulatório de cirurgia cardíaca. Resultados: o protótipo do aplicativo resultou em 43 telas, validadas por 17 especialistas em saúde, com resultados de razão de validade de conteúdo e índice de validade de aparência totais de 0,86 e 0,99, respectivamente. Em relação à validação semântica, 10 pacientes participaram da coleta de dados, com índice de validade de conteúdo total de 0,978. Conclusões: o protótipo do aplicativo “VivaCor PósOp” apresentou evidências de validade de conteúdo, aparência e semântica, com potencial para estimular o autocuidado em pacientes em pósoperatório de cirurgia cardíaca.

Application of User Interface and User Experience for Smart Greenhouse Mobile Application Design

Smart greenhouses enable remote control and monitoring of the planting environment through a mobile application. However, existing mobile applications designed for smart greenhouses often suffer from unattractive user interfaces and limited features, reducing their effectiveness in monitoring and controlling greenhouse conditions. This study’s primary objective is to design a prototype mobile application for smart greenhouses by incorporating user interface and user experience (UI/UX) principles. The performance of the designed system is evaluated through the System Usability Scale (SUS) assessment. The study follows the design thinking principles, including empathizing, defining, ideating, prototyping, and testing, to identify user problems, generate innovative ideas, and create a design prototype that aligns with user needs. The design prototype is developed using the Figma application. Results from performance testing involving 10 prospective application users indicate an outstanding usability score of 82.75, categorizing it as excellent. This outcome demonstrates the successful development of a smart greenhouse application prototype that, through thoughtful UI/UX design, offers an attractive interface and features that effectively address user requirements.

Development and validation of a mobile application prototype for postoperative cardiac surgery.

to develop and validate the content, appearance, and semantics of a prototype application for monitoring patients in the postoperative period of cardiac surgery. this is a technological development study based on Contextualized Instructional Design. The content and appearance evaluation was conducted by a committee of specialists, and semantic validation was carried out by patients from a cardiac surgery outpatient clinic. the application prototype consisted of 43 screens, validated by 17 health specialists, with content validity ratio and appearance validity index results of 0.86 and 0.99, respectively. For semantic validation, 10 patients participated in data collection, with a total content validity index of 0.978. the prototype of the "VivaCor PósOp" application demonstrated evidence of content, appearance, and semantic validity, with the potential to stimulate self-care in patients in the postoperative period of cardiac surgery.

Hacia embarazos más seguros

Introduction: Hypertensive disorders in pregnancy pose global health challenges. Maternal mortality rates in Panama due to preeclampsia and eclampsia have increased. A mobile application is introduced to monitor and control these disorders. Problem: Hypertensive disorders in pregnancy pose a risk to maternal health. Panama’s healthcare initiatives have shown progress, but there are still gaps in maternal care. Novel technologies may help address these gaps. Objective: The goal is to evaluate a prototype mobile app for managing hypertensive disorders in pregnancy. Research focuses on usability, including navigation, design-task correlation, acceptability, and user perspectives. Methodology: The Design Science Research Methodology (DSRM) guides the study through problem identification, motivation, and software artifact development. The evaluation involves 32 participants engaging in tasks and standardized questionnaires, including the System Usability Scale (SUS) and User Experience Questionnaire (UEQ). Tasks assess the app’s usability, while questionnaires provide comprehensive insights into user experiences. Results: Users generally have positive interactions and favorable perceptions. However, there are challenges with task completion, particularly with interface intuitiveness. Conclusion: The app for monitoring hypertensive disorders has shown positive user experiences and usability. However, there are challenges and user feedback that need to be addressed for refinement and effectiveness in supporting maternal health during pregnancy. Limitations: The study focuses only on the prototype evaluation phase and may need further iterations to address challenges. The participant pool’s limitations may impact generalizability. Ongoing improvements are crucial to meet evolving user needs and technological advancements. Originality: This article contributes originality by presenting a novel mobile application prototype for managing hypertensive disorders in pregnancy. The use of DSRM for development and comprehensive usability assessments with standardized tools adds to the originality, providing valuable insights for future advancements in maternal healthcare technology.

An edge-device-compatible algorithm for valvular heart diseases screening using phonocardiogram signals with a lightweight convolutional neural network and self-supervised learning

Background and objectivesDetection and classification of heart murmur using mobile-phone-collected sound is an emerging approach to the scale-up screening of valvular heart disease at a population level. Nonetheless, the widespread adoption of artificial intelligence (AI) methods for this type of mobile health (mHealth) application requires highly accurate and lightweight AI models that can be deployed in consumer-grade mobile devices. This study presents a lightweight deep learning model and a self-supervised learning (SSL) method to utilise unlabelled data to improve the accuracy of valvular heart disease classification using phonocardiogram data. MethodsThis study proposes a lightweight convolutional neural network (CNN) that consists of ten times fewer parameters than other deep learning models to classify phonocardiogram data. SSL is applied to harness a large collection of unlabelled data as pre-training to enhance the accuracy and robustness of the model and reduce the number of epochs required to converge. A mobile application prototype that encapsulates the model is developed to perform in-device inference and fine-turning. ResultsThe proposed lightweight model achieves an average accuracy of 98.65% in 10-fold cross-validation. When coupled with SSL using unlabelled data, the pre-trained model can reach an average accuracy higher than 99.4% in 10-fold cross-validation. Furthermore, SSL-trained models have a 4–20% improvement in classification accuracy over non-SSL-trained models when tested with perturbed or noisy data, suggesting that SSL improves robustness of the model. When deployed on common smartphones, in-device fine-tuning and inference of the model can be completed within 0.03–0.37 s, which is considerably faster than 0.22–5.7 s by a standard CNN model that have ten times the number of parameters. Our lightweight model also consumes only a third of the power compared to the larger standard model. ConclusionThis work presents a lightweight and accurate phonocardiogram classifier that supports near real-time performance on standard mobile devices.

Pembangunan Prototaip Aplikasi Mudah Alih untuk Kerja Pemeriksaan Bangunan

Building surveyors traditionally relied on descriptive longhand surveys to record an information by hand during on-site building inspections. However, the traditional approach such as checklist that usually practiced were unstructured and unstandardized among organization. In certain cases, it might have a missing document and issue on time-consuming for analysis. Therefore, this mobile application prototype purposely built to track the building defects where it can be used on site during building inspection. This is to record the information according to 11 evaluation criteria namely defect classification, type of building, type of location, type of element, sub-element, causes of defects, defects categories, defect groups, type of defects, building condition level and priority level of repairs. Besides that, the pictures or images can also be kept as supporting evidence. This mobile application prototype included three development phases which are design and utilization, system installation and maintenance and implementation. This mobile application has been projected to be used with mobile devices such as tablets or smartphones. It can also be accessed either through Play Store (for Android User) or the App Store (for Apple’s iOS user). This mobile application also provides a convenient and alternative method in recording the real time findings instead of using manual checklist. Finally, it has the potential to be developed and commercialized with the addition of more user-friendly features.

Application to prevent pressure injury in elderly caregivers

Objective To develop and validate the content of a mobile application prototype on Pressure Injury (PI) Prevention for elderly caregivers. Methods Methodological study of prototype-type technological production in mobile application. The application development was guided by the Contextualized Instructional Design (CID) model. The content validation stage was carried out by seven teaching nurses of a technical course for elderly caregivers in a federal educational institution with the application of the Suitability Assessment of Materials (SAM) instrument. Data were analyzed using descriptive statistics. Results The prototype, which was named LPPrev, contains information about the concept, staging, causes of LP, and main affecting sites, in addition to reminders to reposition the elderly in bed; registration of nutritional information, oral hydration, body and intimate hygiene, and guidance on preventive care is also possible. The content evaluation obtained 96.6% of agreement between professors, being considered a material of superior quality. Conclusion LPPrev is an application prototype properly structured according to the categories evaluated by the SAM, with relevant information for caregivers of bedridden and dependent elderly, contributing to theoretical knowledge and fundamental care in the prevention of injury by pressure, being prepared to move on to the other stages of the DIC model.

Challenges for implementing design thinking for social innovation: Case study during online learning

Students can play a meaningful role in solving developmental challenges. Through online learning, Third-year Information Systems students were taught Stanford’s five-phase design thinking (empathise, define, ideate, prototype and test). The process helps students develop solutions to assist with the South African electricity crisis. The case study identified the challenges of implementing design thinking to build mobile application prototypes to assist with Sustainable Development Goal 7: affordable and clean energy challenges during the COVID-19 pandemic. The case study used mixed methods. Qualitative and quantitative data were collected from 28 Information Systems students using an online survey. Quantitative data were analysed using descriptive statistics. Qualitative data were analysed using content analysis. During the empathise phase, challenges were due to a lack of meaningful communication: 57% of students indicated that defining the problem was a challenge. During the ideate phase, 68% of the students stated that they struggled to create a solution. Students were required to use the Justinmind tool to develop their prototypes. However, 91% of students indicated that they struggled using Justinmind. During the final testing phase, 49% of students indicated that obtaining and incorporating user feedback was problematic. The research will provide insights and recommendations for improving the use of design thinking for social innovation during online learning.

Cognitive digital twins for freight parking management in last mile delivery under smart cities paradigm

This paper examines the Freight Parking Management Problem (FPMP) of last-mile delivery within the context of Smart Cities where objects are managed by Digital Twins. Specifically, we investigate how Cognitive Digital Twins - Digital Twins with augmented semantic capabilities - can enhance instantly updated knowledge of parking connectivity to optimize logistics operations planning and urban resource allocation. We present a four-layer architectural framework to integrate individual logistics objects and systems into Smart Cities at a semantic level, with underlying enabling technologies and standards including Property Graph, Web Ontology Language (OWL), and Web of Things. Next, we conduct a case study of parcel delivery in Paris using a real-life Digital Twins platform called Thing in the future (Thing’in) by Orange France, coupled with an agent-based simulation model on AnyLogic, to demonstrate a real-world application of our approach. The results suggest that semantics-enabled Digital Twins connectivity can increase the comprehensive understanding of the delivery environment and enhance cooperation between heterogeneous systems, ultimately resulting in improved logistics efficiency, reduced negative externalities, and better utilization of resources. Furthermore, this work showcases potential new business services for logistics service providers and provides managerial insights for city planners and municipal policymakers. An actual mobile application prototype is presented to showcase the applicability of the work.

Evaluation of a Prototype Mobile Application Based on an Expert System for the Diagnosis of Diseases Transmitted by the Aedes Aegypti Mosquito

The Aedes aegypti mosquito transmits the dengue, zika, and chikungunya viruses, endangering the health and lives of people in affected countries due to a lack of timely diagnosis. The objective of this study is to design and evaluate the feasibility of a mobile application based on an expert system for early diagnosis of diseases transmitted by the Aedes aegypti mosquito. The Buchanan methodology was used to develop the application. The results obtained show that the proposed mobile application has a diagnostic accuracy of 83%, a sensitivity of 91%, a specificity of 63%, and an error rate of 17%. The technical aspects of the application were also evaluated through a questionnaire administered to five computer experts. The results showed that the technical aspects of the application received an average rating of 3.91 out of a maximum of 5, with a standard deviation of 0.482. In addition, the usability of the application was evaluated using the standardized System Usability Scale (SUS), which was administered to a total of 15 users. The results of this evaluation showed that the application received an average score of 83 on the SUS scale, indicating a positive level of usability. In conclusion, the results support the effectiveness and potential of the application for the early diagnosis of diseases transmitted by the Aedes aegypti mosquito, providing a useful tool for the rapid detection of these diseases. Although it requires more attention to specificity and error rate to improve the accuracy of the diagnosis.

Aawn: An Interactive Mobile Application for Improving the Communication Skills of Arab Children with Autism

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that causes challenges in communication and social interaction. Since there is no single treatment for autism, autistic children need extra attention from their parents or caregivers to overcome their linguistic deficiency. Scientific studies have shown that technology-based educational methods are effective and can lead to a significant improvement, especially for autistic children. In recent years, an increasing number of mobile and multimedia applications have been developed to enhance autistic children's verbal communication, emotions, social behavior, and interaction skills. However, many of these systems are either in English or in local autistic children’s native languages. Others are designed to promote specific knowledge, i.e., emotions, or are limited in their features. This paper designs and implements a prototype for Arabic mobile application, called Aawn, to help and improve Arab autistic children's, in their own language, communication and emotions, as well as educational and organizational skills. Aawn is integrated with various supporting technologies based on the Picture Exchange Communication System (PECS) and augmented with graphical features. The system is built and developed using Android Studio and various cloud-based tools. The system can be extended by artificial intelligence (AI) technologies.

Developmental Study on "Smart Silver Care": A Mobile Application to Alleviate Loneliness in Older Adults within the Community.

Loneliness poses a significant threat to the quality of life of older adults. Therefore, it is essential to implement non-face-to-face services to solve the loneliness of older adults in the community. This study used the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model to develop mobile applications as a loneliness intervention for older adults living in the community. A mobile application was developed using the ADDIE model to alleviate loneliness in older adults living in the community. The development process included a systematic review, a face-to-face preference survey, and an experts' evaluation. From 11 to 15 June 2021, the following six databases were used to search for related articles: Ovid-Medline, Ovid-EMBASE, Cochrane Library, KISS, Korea Med, RISS. A preference analysis was conducted on 100 adults aged 65 or older living in the community from 15 July to 31 August 2021. A mobile application for community-dwelling older adults was developed. Its contents included emotional support, cognition, physical activity, health data, nutrition, and motivation. They were organized through a systematic review and preference survey in the analysis stage. They were also designed as main menus and sub-content at the design stage. They also designed the structure, functionality, and interface layout. The application was developed by integrating the designed content and determining the operating system, language, access method, privacy, and server history. Then, experts evaluated the validity of the application. The prototype mobile application incorporates emotional support, cognition, physical activity, health data, nutrition, and motivation. It is expected to help older adults achieve their goals by promoting participation. By incorporating expert validity into the content development process of early prototypes, we have improved the usability and acceptability of our products. Future pilot trials are needed to evaluate the effectiveness of this mobile application among older adults.

A Mobile Application Prototype Designed to Support Physical Therapy Assessment Learning Processes

The present work is the result of applied research, which describes how the physical therapy program at the Universidad Santiago de Cali approached the support of the learning processes from the Guide to Physical Therapist Practice issued by the American Physical Therapy Association (APTA) from a teaching perspective using information technologies with an emphasis on mobile devices (D-Learning). The implementation process was conducted using the PSP (Personal Software Process) methodology, condensing its six characteristic moments to address the problem in four stages: planning, design, development, and validation, corresponding to phases 2 and 3 of the interdisciplinary project developed by and between the Schools of Engineering and Health Sciences, thereby understanding that the remaining phases exceed the scope of this paper (these phases include a systematic review, an analysis, and feedback from the academic community). A preliminary assessment describes the knowledge gathering and idea conception processes, as well as the solution design process in Enterprise Architect. Subsequently, the prototype was implemented, the corresponding documentation was prepared, and its usability was validated by the academic community at the university. Therefore, a supporting tool was generated, focusing specifically on learning about the Guide to Physical Therapist Practice.

Dentech: a mobile application for remote care and teaching in dentistry

OBJECTIVE: to create a complementary digital tool for remote health care and teaching in Dentistry. METHOD: a mobile application prototype combining m-health and m-learning was developed, using free resources. RESULT: the prototype has three different profiles related to oral health: Dentist, Professor Dentist and Student. With the prototype, it is possible for the Dentist to exchange information with patients via Whatsapp and save information in electronic medical records. Also, the prototype allows the Professor Dentist to develop clinical scenarios, make them available for assistance simulations to the Student profile, and evaluate the resulting interactions later. CONCLUSION: technology is an important part of our daily lives and improves information and communication. Despite the advantages, its use is still challenging due to limited technological knowledge, in addition to the precariousness of the Internet connection in a general way.

Malaysia coin identification app using deep learning model

Most of the human work has been replaced by computers in recent years. With the rise of mobile technology and Internet access, recent developments in machine learning (ML) have designed many algorithms to solve diverse human problems. However, due to a lack of exposure to image processing, identification technology is still not widely employed in Malaysia. This paper outlines the steps involved in creating a mobile application for coin identification using ML. In the literature review, the history of the coins is studied in more depth and the features of already existing coin identification mobile applications are compared by their advantages and disadvantages. In addition, using the neural network model, the classification accuracy of successfully identified coins is recorded and disclosed. This study includes the limitations of the prototype mobile application and future improvements that could be added.

Malaysia coin identification app using deep learning model

Most of the human work has been replaced by computers in recent years. With the rise of mobile technology and Internet access, recent developments in machine learning (ML) have designed many algorithms to solve diverse human problems. However, due to a lack of exposure to image processing, identification technology is still not widely employed in Malaysia. This paper outlines the steps involved in creating a mobile application for coin identification using ML. In the literature review, the history of the coins is studied in more depth and the features of already existing coin identification mobile applications are compared by their advantages and disadvantages. In addition, using the neural network model, the classification accuracy of successfully identified coins is recorded and disclosed. This study includes the limitations of the prototype mobile application and future improvements that could be added.

Acoustic Parameters in the Evaluation of Voice Quality of Choral Singers. Prototype of Mobile Application for Voice Quality Evaluation

Choral singers are among intensive voice users whose excessive vocal effort puts them at risk of developing voice disorders. The aim of the work was to assess voice quality for choral singers in the choir at the Polish-Japanese Academy of Information Technology. This evaluation was carried out using the acoustic parameters from the COVAREP (A Collaborative Voice Analysis Repository For Speech Technologies) repository. A prototype of a mobile application was also prepared to allow the calculation of these parameters. The study group comprised 6 male and 19 female choir singers. The control group consisted of healthy non-singing individuals, 50 men and 39 women. Auditory perceptual assessment (using the RBH scale) as well as acoustic analysis were used to test the voice quality of all the participants. The voice quality of the female choir singers proved to be normal in comparison with the control group. The male choir singers were found to have tense voice in comparison with the controls. The parameters which proved most effective for voice evaluation were Peak Slope and Normalized Amplitude Quotient.

Prototype of a mobile application for teaching the first grade letter course.

It is essential to highlight that, to ease learning processes and produce a fruitful pedagogical experience, reading and writing skills development requires didactic tactics different from those used in the traditional classroom. The research aims to design a prototype mobile application for teaching letter courses to first graders in a didactic way to enhance the communicative skills of children. The method used is the cascade, which allowed us to understand and solve the problem. The results obtained are the designs of the prototypes, which were designed to teach letters to children in the first grade of primary school. Likewise, a good appreciation was obtained in the surveys conducted on the application.

A Smart Mobile Application prototype to enhance the Engagement of Physicians with Pharmaceutical Companies in Egypt An Exploratory Study

A Smart Mobile Application prototype to enhance the Engagement of Physicians with Pharmaceutical Companies in Egypt An Exploratory Study