Interactive Mobile Application Research Articles

Title Prototype of a Mobile-Based Interactive Application for Tourist Search in Nabire

The Nabire area in Papua Indonesia has rich natural tourism potential, including attractive lakes and beaches. However, the low interest of tourists in visiting is caused by a lack of information and promotion about this tourist destination. The lack of efforts to disseminate information and promotions has resulted in low numbers of tourist visits, both domestic and international. This research aims to overcome this problem through the development of an interactive mobile application designed to facilitate access to comprehensive and up-to-date tourist information in Nabire. This research methodology uses a Design Thinking approach which consists of five stages: empathy, determination, ideation, prototype, and test. At the empathy stage, observations and interviews were carried out to understand user needs, which revealed that easily accessible and complete tourism information was still very much needed. The determination stage concluded that the main problem was the lack of accessibility of integrated and up-to-date tourism information. The ideation stage produced several potential solutions, including creating an application that provides complete information about tourist attractions, ticket prices, locations, images and videos. In the prototype stage, the application is designed using Figma to showcase important features and produce an initial model that can be tested. The prototype results include a main page, a short tourist description, a photo gallery, and a tourist video. The testing phase is carried out using the black box method to ensure the application functions operate as expected. Test results show that the application can display dashboard pages, short tourist descriptions, photo galleries and videos well.

Transforming K-12 education: A systematic review of AI integration

The application of Artificial Intelligence (AI) has developed in different sectors including teaching and learning where students and teachers can learn AI and augment it in K-12 education settings. The objective of this systematic review is to provide a wide perspective and the understanding the use of the AI for students and teachers in K-12 education setting, by analysing AI technology applications, implementation methods, and its impact. The systematic review searched the databases, and the PRISMA flowchart was applied to search and screen the studies. Articles were screened at the title, abstract and full-text level then coded and analysed. Major findings indicates that AI powered chatbots improve learning outcomes and emphasize the collaboration among teachers, parents, and students to work together for AI integration. This paper also recommends leveraging AI tools like the Interactive Mobile Application for Nurturing (IMAN) Vocab and Intervention in classroom to improve academic performance and critical thinking skills. Despite the advancements, still there are some challenges to overcome such as digital divide, ethical considerations and professional development foe teachers. The study evaluates these challenges alongside advantages such as personalized learning to provide teachers, policymakers, and researchers with transformative pathways. We concludes that AI complements education methods and underscore the need for strategic cooperation and ongoing research efforts to maximize AI benefits while addressing its limitations effectively.

Enhancing University English Teaching through Mobile Interactive Applications from an Educational Technology Perspective

In the context of globalization and rapid advancements in information technology (IT), the application of educational technology in higher education has become increasingly prevalent. Particularly in university English teaching, mobile interactive applications have emerged as a significant teaching model. These applications transcend the constraints of time and space, providing students with a flexible learning environment that promotes interaction between teachers and students, thereby enhancing learning outcomes. However, existing research has primarily focused on the technological development and effectiveness evaluation of mobile interactive applications, neglecting the impact of student interaction and trust on learning outcomes. Additionally, there is a lack of dynamism and personalization in the recommendation of educational resources and study partners. This study constructs global and local dynamic trust models for mobile interactions, calculates trustworthiness based on mobile interactive behaviors, and integrates mobile interaction trust relationships and behaviors with a dynamic English recommendation algorithm, thereby providing a new theoretical framework and a practical approach for university English teaching, aiming to enhance the teaching effectiveness and improve students’ learning experiences.

Smart Car Parking System

In this fast-growing economy, the number of vehicle users is growing tremendously, wasting a significant amount of time and fuel while searching for an available parking space. This work highlights the optimum utilization of parking slots without the physical intervention of humans by making use of an IoT-integrated embedded system. This study aimed to create a mobile application for car parking that uses NodeMCU as the Microcontroller, which is further integrated with Radio-Frequency Identification (RFID) and the Internet of Things (IoT) to detect available parking slots, saving people’s time. When combined with an interactive mobile application, this technology provides an efficient solution by highlighting the availability and occupancy of parking spaces as green and red, respectively. It contributes to enhancing the quality of life of people living in congested metropolitan cities by digitizing the conventional parking system.

Preferences of Iranian smokers regarding smart smoking cessation technologies: a parallel convergent mixed methods study

BackgroundConsidering the values and preferences of individuals who attempt to quit smoking is a crucial step in the development of smoking cessation technologies. This study aimed to explore preferences regarding smart smoking cessation technologies.MethodsThis parallel convergent mixed-methods study was conducted in two phases: quantitative and qualitative. In the quantitative phase, a cross-sectional study was conducted with 360 participants selected through stratified random sampling from technology-based smoking cessation clinics in Tabriz, Tehran, and Karaj cities in Iran. Data on demographic characteristics and preferences for smart smoking cessation technologies were collected using questionnaires and analyzed using descriptive statistics. In the qualitative phase, 25 users of these technologies were selected through purposeful and snowball sampling. The data were gathered through in-depth semistructured interviews and analyzed using qualitative content analysis with a conventional approach. Quantitative and qualitative data were integrated using the merging strategy and convergence model.ResultsThe quantitative phase results indicated that the highest preference was related to wearing and using a smartwatch for smoking cessation and using mobile apps. In the qualitative phase, 17 subcategories were extracted and classified into 8 main categories: high effectiveness, better management of the smoking cessation process, personalized technology, safe and uncomplicated technologies, attractiveness and innovative design, scientific basis, mobile applications, and smart monitoring devices.ConclusionBy combining and integrating quantitative and qualitative results, it can be concluded that users are more interested in wearable technologies and interactive mobile applications. The findings of this study can assist smoking cessation technology developers in designing and improving their tools based on user needs and preferences to enhance their effectiveness and acceptability.

Implementing injury prevention training in youth handball (I-PROTECT) in Sweden: study protocol for a cluster randomised trial

IntroductionEfficacy trials show that evidence-based injury prevention training reduces injuries in youth athletes but effectiveness, that is, outside the controlled setting, is lower and, consequently this training has had limited...

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Examining the factors fostering metaverse experience browser acceptance under unified theory of acceptance and use of technology (UTAUT)

Metaverse technology has various uses in communication, education, entertainment, and other aspects of life. Consequently, it necessitates using some interactive mobile applications to enter the virtual world and gain real-time, face-to-face experiences, particularly among students. This research focused on the factors accelerating metaverse technology acceptance particularly, Metaverse Experience Browser application acceptance among the students under the factors proposed by the unified theory of acceptance and use of technology (UTAUT) model. Notably, lack of studies in metaverse browsers and their prevalence during the post pandemic era, indicates a strong literature gap. The researchers gathered data from n = 384 higher education students from the two cities in the United Arab Emirates and applied Structural Equation modelling (SEM) for data analysis. Results revealed that Performance Expectancy (p < 0.003) and Social Influence (p = 0.000) were significant factors affecting the Behavioral Intention of the students to consider Metaverse Experience Browser as an interactive mobile application. On the other hand, behavioural Intention significantly affects (p = 0.000) Effort Expectancy, which shows how fewer efforts and greater accessibility are associated with one’s behavioural Intention. Besides, the effect of Behavioral Intention (p = 0.000) on Metaverse Experience Browser acceptance also remained validated. Finally, Effort Expectancy (p = 0.000) also indicated its significant effect on the Metaverse Experience Browser. These results indicated that the factors proposed by UTAUT have greater applicability on the Metaverse Experience Browser as they showed their relevance to its acceptance. The present study concludes that the acceptance of Metaverse Experience Browser as an interactive mobile application is a level ahead in improving students’ experiences. Thus, the Metaverse Experience Browser is considered a modified way of creating, sharing, participating, and enjoying the virtual world, indicating its greater usage among students for different purposes, including education and learning.

Quality Assessment of Interactive Mobile Application - Maternal and Infant Care for Tribal Birth Attendants.

Digital health interventions can overcome geographical barriers and prepare health-care providers for better health outcomes in rural and remote tribal areas, however, it has not been explored among traditional birth attendants (TBAs). A mobile application, "maternal and infant care" (MAI) for capacity building of tribal birth attendants was developed and its quality was evaluated using the Mobile Application Rating Scale for user's interest in and satisfaction with the esthetics, information, and functionality. Thirteen Android user TBAs with the MAI application were piloted with the MARS checklist. Engagement, functionality, esthetics, and information quality; and one subjective quality scale having 29 items were used. The application was found to be entertaining excellent rating (mean score ± standard deviation) (4.00 ± 0.58), and scored high on performance (3.77 ± 0.93); layout design (3.85 ± 0.90); subjective quality (4.23 ± 0.93), however, scored minimum on interest; gestural design; visual appeal, etc. MAI is a user-friendly, culturally acceptable Android app that can be used for the capacity building of frontline workers.

A Study On The Usage Of M-Learning Applications Within Bulgarian Schools

The transformation of the educational model is directly linked to the key participants in the educational process. Modern pupils cannot imagine life without the usage of various digital technologies such as mobile devices. Moreover, today’s learners spend more time preparing for school using interactive mobile applications. That defines the purpose of this article: to explore the usage of m-learning applications in the educational process within Bulgarian schools. To achieve that it has been created a survey that consists of 11 questions and was distributed to 140 participants (pupils from Bulgarian schools). The results have shown that 54.28% of respondents use m-learning applications within the classroom and 72.86% of them use m-learning applications for self-study. Additionally, 60% of respondents believe that using such applications would enhance the educational process. This provides ample justification for directing efforts from all stakeholders (educational institutions, educators, and learners) toward wider and more comprehensive integration of these applications in the educational process. From the perspective of future research, there could be endeavors to conduct a more extensive and representative study by trying to utilize cluster sampling in order to overcome the limitations posed by the current research methodology.

Going the extra mile: Developing an interactive mobile application for maternal and infant care for tribal birth attendants.

Mobile health applications are an established tool for healthcare management, patient education, and even capacity building for healthcare providers. However, its use among traditional birth attendants (TBAs) is limited. The aim of this study is to explore the needs and bottlenecks of developing an interactive mobile application for maternal and infant care (MAI) of TBAs. It is a qualitative study having in-depth interviews (face-to-face approach) conducted among the seekers of MAI services. Setting: This study is conducted in tribal and rural locations in the district Sirohi, Rajasthan. Participants: TBAs and tribal females of reproductive age in tribal-dominated areas have participated. The development of an interactive mobile application MAI has three phases: (1) a need-based approach to identify the needs on the ground; (2) identifying intervention bottlenecks and possible solutions; (3) design and development of the mobile application. Ninety-six tribal females of reproductive age participated in the needs assessment. Eighty percent of them were ≤ 30 years of age and 40% of them were uneducated. Most participants informed that lack of information (culturally/locally appropriate content), peer advocacy, affordability, lack of transportation, and the influence of TBAs are the significant factors for less uptake of maternity and child health services in the tribal and rural areas. The MAI app has culturally/locally appropriate content and is prepared by the local TBAs and Accredited Social Health Activists, with full local character and clothing. MAI app has videos and audio in the local language (Marwari) with pictorial quizzes. Using the MAI app, TBAs may self-educate and guide tribal pregnant women about maternal hygiene and infant healthcare as needed at various stages of pregnancy and childbirth.

Genealogical Data-Driven Visits of Historical Cemeteries

This paper describes the Integration of Archives and Cultural Places (IaCuP) project, which aims to integrate information about a historical cemetery, including its map and grave inventory, with genealogical and documentary knowledge extracted from relevant historical archives. The integrated data are accessible to cemetery visitors through an interactive mobile application, enabling them to navigate a graphical representation of the cemetery while exploring comprehensive visualizations of genealogical data. The basic idea stems from the desire to provide people with access to the rich context of cultural sites, which have often lost their original references over the centuries, making it challenging for individuals today to interpret the meanings embedded within them. The proposed approach leverages large language models (LLMs) to extract information from relevant documents and Web technologies to represent such information as interactive visualizations. As a practical case study, this paper focuses on the Jewish Cemetery in Pisa and the Historical Archives of the Jewish Community in Pisa, working on the genealogical tree of one of the most representative families resting in the cemetery.

Assessing women's and health professionals' views on developing a midwifery-led mobile health app intervention in pregnancy: A descriptive qualitative study.

To explore women's and health professionals' views on the development of a midwifery-led mHealth app intervention in antenatal care and their demands for app functionality. Descriptive qualitative research was utilized. In total, 15 pregnant or postpartum women were interviewed via in-depth interviews and 10 health professionals including obstetricians, midwives and obstetric nurses were invited to participate in a focus group discussion (FGD). All interviews and the FGD were analysed using qualitative content analysis. Four key themes emerged from the data, including (1) limitations of current maternity care services; (2) potential benefits for mHealth app-based midwifery care; (3) possible challenges for providing midwifery care through mHealth apps and (4) suggestions and needs for developing a midwifery-led mHealth app. Participants agreed on the potential need of developing a midwifery-led mHealth app in antenatal care to increase access to midwifery care services and to meet women's diverse needs. Participants preferred to develop professional, reliable, full-featured and interactive mobile applications. The main functions of midwifery-led mHealth apps included personalized assessment and health education, self-monitoring and feedback, data sharing and interactive functions. Women mentioned that online communication and consultation with midwives could help them receive continuous support outside facilities. Health professionals expressed it would be of great convenience and timeliness to send personalized messages to women and to inform them of healthy lifestyles during pregnancy. The challenges included a shortage of human resources, medico-legal risks associated with mHealth and data security risks. This study explores the individual views and functional needs of target users and healthcare providers for developing a midwifery-led mHealth app in antenatal care, which will serve as a reference for future application development. Our study has important and practical implications for guiding the development of future midwifery-led mHealth app interventions. No patient or public contribution.

Co-creating holistic injury prevention training for youth handball: Development of an intervention targeting end-users at the individual, team, and organizational levels

BackgroundInterventions that are co-created with end-users, and that are informed by behavior change or implementation theories, support implementation in real world settings. However, injury prevention programs for youth athletes have typically been developed by experts with no, or insufficiently described, end-user involvement and without guidance by theories. The aim of the current study was to describe the development of a holistic injury prevention intervention for youth handball targeting end-users at different levels, through using knowledge from end-users and researchers/experts and applying relevant behavior change and implementation theories.MethodsKnowledge from researchers/experts (sports medicine, sport psychology, handball, physical therapy, strength and conditioning (n = 14)) and end-users (coaches, players, club administrators, n = 16), and applying relevant implementation (Consolidated Framework for Implementation Research, CFIR), behavior change (Health Action Process Approach, HAPA) and motivational (Self-Determination Theory, SDT) theories, were used to co-design the intervention. Early end-users (coaches (n = 6), players (n = 3) and a club administrator (n = 1)) were interviewed for initial feedback.ResultsThe intervention consisted of end-user-targeted information and training that was made available in a specifically developed interactive mobile application with modules for players, coaches, club administrators, and caregivers. Information for all end-users included benefits and principles of physical and psychological injury prevention training, load-management, motivation, and communication. Information about implementation was developed for club administrators specifically. For coaches, training to do with their teams included handball-specific injury prevention exercises (legs, shoulders, core) combined with psychological aspects (motivation, task focus, body awareness) to integrate within warm-up and handball skills training. Training for players included handball-specific multi-joint strength, power, and explosive exercises (legs, shoulders, core) and sport psychology exercises (self-awareness, relaxation, being in the present moment, prevent and handle stress). To support self-management, adoption, and motivation, programs were provided, and players and coaches could change, add, progress the difficulty of exercises, and build their own programs. Initial feedback from early end-users was generally positive.ConclusionsUtilizing an approach where researchers/experts and end-users co-created injury prevention training specifically for youth handball, an intervention was generated that included information and holistic training targeting end-users at the individual (players, caregivers), team (coaches), and organizational (club administrators) levels.

Accessibility Evaluation of Interactive Learning Mobile Applications for Individuals with Intellectual Disabilities

In today’s education sector, mobile technologies, including tablets and smartphones, have become integral tools, enabling the implementation of mobile learning in pedagogical activities. However, accessibility issues in mobile applications pose challenges, particularly for individuals with disabilities, contradicting the goals of Sustainable Development and the Convention on the Rights of Persons with Disabilities. This paper aims to investigate the extent to which the industry considers accessibility in designing mobile learning applications for this specific user group. We evaluate the accessibility of interactive mobile applications designed for reading and alphabet learning, employing two different guidelines, by conducting heuristic evaluation based on research-based guideline and a design standard introduced by The World Wide Web Consortium. Three experts, each bringing a unique perspective and background, were engaged in the evaluation process. The heuristic evaluations were executed based on the criteria outlined in the selected guidelines. This involved identifying violations and employing a scoring system to quantify the findings. Subsequently, the experts engaged in discussions to achieve consensus and establish final scores for each checkpoint. The results provided a quantitative basis for our analysis. The results of the evaluation performed in this study expose a prevalent disregard for guideline checkpoints among these interactive mobile learning apps. Only two applications could be considered highly inclusive, indicating the need of improvement. Based on the results, the accessibility criteria were also categorized into four primary groups, highlighting the requirements that were least and most addressed by the applications.

AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing

With the rapid development of deep learning, recent research on intelligent and interactive mobile applications (e.g., health monitoring, speech recognition) has attracted extensive attention. And these applications necessitate the mobile edge computing scheme, i.e., offloading partial computation from mobile devices to edge devices for inference acceleration and transmission load reduction. The current practices have relied on collaborative DNN partition and offloading to satisfy the predefined latency requirements, which is intractable to adapt to the dynamic deployment context at runtime. AdaMEC, a context-adaptive and dynamically combinable DNN deployment framework, is proposed to meet these requirements for mobile edge computing, which consists of three novel techniques. First, once-for-all DNN pre-partition divides DNN at the primitive operator level and stores partitioned modules into executable files, defined as pre-partitioned DNN atoms. Second, context-adaptive DNN atom combination and offloading introduces a graph-based decision algorithm to quickly search the suitable combination of atoms and adaptively make the offloading plan under dynamic deployment contexts. Third, runtime latency predictor provides timely latency feedback for DNN deployment considering both DNN configurations and dynamic contexts. Extensive experiments demonstrate that AdaMEC outperforms state-of-the-art baselines in terms of latency reduction by up to 62.14% and average memory saving by 55.21%.

EduTube : Enhancing Credibility and User Experience in Online Learning

EduTube addresses a common challenge in online learning: the lack of credibility associated with YouTube tutorials. Recognizing that many learners rely on YouTube due to cost constraints, we've created an interactive mobile application. This AI-powered platform enhances credibility by offering dynamic quizzes generated from video subtitles through NLP. Users can add YouTube playlists, pending admin approval, and complete quizzes after each video. They can also explore playlists from other users. Any reported inaccuracies are promptly investigated. Upon successful completion, users receive a certification, providing tangible proof of their knowledge and enhancing their employability. EduTube bridges the gap between accessible learning and verifiable skills attainment.

Implementation of a Production Monitoring System Using IIoT Based on Mobile Application

Productivity is a key factor in the success of a company, and real-time monitoring systems are necessary to achieve this goal. Manual data collection is time-consuming and exhausting. Industrial Internet of Things (IIoT) technology has been rapidly advancing in monitoring and optimizing industrial processes. Production processes can be disrupted due to machine problems; hence, the need to analyze machine efficiency using the overall equipment effectiveness (OEE) method. This study implements a system that uses Industrial Internet of Things technology based on mobile application to monitor production processes, report production results, assess machine performance using the OEE method and provide maintenance notifications based on time-based maintenance. Research findings indicate that the production monitoring system implemented on a prototype press machine based on an interactive mobile application interface is capable of monitoring production processes and reporting production results. The system can also assess machine performance using the OEE method, with a calculation accuracy of 99.95% and maintenance notifications with a delay time of 1.04 seconds.

Interactive Mobile Application in Learning Iban Language

My Iban application is an interactive mobile application for learning the Iban language. The aim of this study is to develop a mobile application that is focusing on creating alternative tools in learning Iban language where it will ease the students to learn. This application development is based on the problem that occurred when there is no suitable application in learning Iban language among the students in primary school. The methodology that has been chosen in developing the application is the Evolutionary Prototyping model. Quantitative technique is used to test and evaluate My Iban applications. Based on the findings obtained from the users through a survey, it finds out that My Iban application have gained positive feedback. The functionality and the usability of My Iban application has been tested and approved by the user. For future works, the use of interactive multimedia elements in developing mobile applications need to be improved. In conclusion, the application hopefully can encourage the students to learn the Iban language better via mobile application.

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.