Application Of Mobile Technology Research Articles

Intelligent Conversations: A Theoretical Framework for Understanding Natural Language Processing within Artificial Intelligence Systems

The present study paper presents a theoretical framework for understanding the language capabilities of artificial intelligence (AI) systems, with a particular emphasis on natural language processing (NLP). The proposed framework, known as the Framework of Key Performative Attributes in AI Discourse (FKPA-AID), is based on a survey of pertinent linguistic theories and AI literature. It specifies six essential dimensions for modeling intelligent conversations: linguistic precision, contextual adaptation, fluid dialogue management, self-learning capacities, socio-emotional sensitivity, and continuity. The study also uses FKPA-AID to assess the strengths and weaknesses of present AI chat capabilities, and uses this analysis to propose prospective research directions for improving machine-based language mastery to better mimic human discourses. The study conducts a literature review of current breakthroughs in AI, notably in the field of natural language processing. It investigates AI's disruptive influence across industries and its role in driving digital transformation, with a particular emphasis on mobile technology applications. The paper also dives into the development of Generative AI (GAI) and Natural Language Processing (NLP), explaining its intricacies, models, applications, and recent advances. Furthermore, it emphasizes the use of AI and NLP in voice-controlled homes and healthcare, with a focus on designing intuitive interfaces and analyzing health data. The primary goal of this literature review is to provide a complete knowledge of the emerging landscape shaped by the combination of AI and NLP. The findings from the studied literature highlight the disruptive potential, ethical difficulties, and practical applicability across multiple disciplines. The paper emphasizes the importance of responsible development in the dynamic and ever-changing world of AI and NLP, and calls for collaborative efforts from interdisciplinary experts such as linguists, computer scientists, psychologists, sociologists, and philosophers to guide future research in this field. The proposed FKPA-AID framework is positioned as a theory-based systematic tool for assessing AI conversation capabilities, contributing to overall improvements in the field.

The effect of mobile image recognition-based augmented reality application on students’ acquisition of science processing skills and motivations to learn science

ABSTRACT With the development of mobile phone applications with innovative features, the application of mobile recognition technology, such as a mobile image recognition-based (AR) application, is becoming increasingly widespread. Mobile Image Recognition-Based AR connect nearby objects or other physical targets with digital information. The purpose of this study is to investigate the effects of using an image recognition-based AR application on students’ acquisition of science process skills and their motivation toward science learning. The study involved 56 students enrolled in two sections of tenth-grade female students in a private school in Jordan. Each section was randomly assigned to either the control group or the experimental group. The experimental group studied a unit from the biology textbook with image-based recognition content. In contrast, the control group studied the same unit using the conventional teaching method based on the traditional textbook content. The researchers administered a science both groups a science process skills test and a motivation toward learning science scale. Results showed that participants who used a mobile image recognition application to learn science had higher acquisition of all science skills and a higher motivation toward learning science than those who used the conventional learning method.

Exploring Nanomaterials for Hydrogen Storage: Advances, Challenges, and Perspectives.

Hydrogen energy heralded for its environmentally friendly, renewable, efficient, and cost-effective attributes, stands poised as the primary alternative to fossil fuels in the future. Despite its great potential, the low volumetric density presents a formidable challenge in hydrogen storage. Addressing this challenge necessitates exploring effective storage techniques for a sustainable hydrogen economy. Solid-state hydrogen storage in nanomaterials (physically or chemically) holds promise for achieving large-scale hydrogen storage applications. Such approaches offer benefits, including safety, compactness, lightness, reversibility, and efficient generation of pure hydrogen fuel under mild conditions. This article presents solid-state nanomaterials, specifically nanoporous carbons (activated carbon, carbon fibers), metal-organic frameworks, covalently connected frameworks, nanoporous organic polymers, and nanoscale metal hydrides. Furthermore, new developments in hydrogen fuel cell technology for stationary and mobile applications have been demonstrated. The review outlines significant advancements thus far, identifies key barriers to practical implementation, and presents a perspective for future sustainable energy research. It concludes with recommendations to enhance hydrogen storage performance for cost-effective and long-lasting utilization.

A Study of the Emotional and Cognitive Effects of Long-Term Exposure to Nature Virtual Reality (VR) Videos on Mobile Terminals

Research Highlights: This study examined the emotional and cognitive health benefits of nature in comparison with working memory training. It considered the long-term effects, the application of mobile terminal technology, and routine-based approaches with the aim of integrating nature’s health benefits into people’s daily lives. Background and Objectives: Infectious diseases and aging may limit people’s activities indoors; the recovery effect of nature has been widely recognized, and terminal technology is developing rapidly. In this context, we want to explore the emotional and cognitive effects of viewing nature (VR) videos on mobile devices for a long time. Materials and Methods: The experiment employed a between-subjects design, with participants being randomly assigned to one of four groups: a forest VR video group, a water VR group, a working memory training group, and a control group. The participants watched the video three times a week for 20 min each for four weeks. The number of valid participants for compliance, preference, and willingness was 136, and the number of valid participants for the study of emotional and cognitive effects was 62. Brief Profile of Mood States (BPOMS) scales, running memory accuracy, shifting cost, etc., were used as indicators to reflect emotions and cognition. A repeated measures analysis of variance was performed on these indicators at four groups × two time points (pretest/post-test). Results: ① There were no significant differences in the participants’ adherence, preferences, and willingness to watch different natural videos and perform working memory training. ② Long-term home training (e.g., watching VR nature videos or working memory training) may have had a minimal effect on emotional responses to mobile terminals. However, home training may be more conducive to the stabilization of anger. ③ Watching forest VR videos had a positive effect on the updating function of the brain; watching water VR videos was beneficial for the shifting function and automatic processing speed; and working memory training had a positive effect on the updating and shifting functions. Conclusions: There were no significant differences in adherence, preference, willingness, and effects on emotion and cognition between long-term forest VR video viewing, water VR video viewing, and working memory training on mobile terminals. All three types of home training may be beneficial for the stabilization of emotion (especially anger), and all can have some positive effects on cognition.

Conjugate heat transfer analysis of the transient thermal discharge of a metallic latent heat storage system

Thermal energy storage systems utilizing metallic phase change materials exhibit great potential as a technology for mobile applications, offering high storage densities and high thermal discharge rates. First experimental investigations show the functionality and performance characteristics of this system. For a deeper understanding of the thermal discharge, this paper presents a numerical model and analysis of the transient conjugate heat transfer. For validation of the numerical model, the results of the simulations are compared to the available experimental data. The investigated storage is based on an aluminum silicon alloy and a box-shaped graphite container design. In this system, heat extraction is achieved by forced convection of ambient air. The transient thermal discharge was simulated from 650 °C to 100 °C, and the solidification of the storage material at around 577 °C was simulated using an enthalpy-porosity approach. The discharge time and total heat flow show good agreement with the experimental data, indicating the model’s successful validation. An empirical study was carried out to determine the thermal contact resistance at the interface between the storage material and the graphite container. The present study contributes new physical insights regarding the thermal discharge of a novel metallic latent heat thermal energy storage system.

Revolutionizing Higher Education Teaching Evaluation with Interactive Mobile and Mixed Reality: A Methodological and Applied Analysis

In higher education, it is imperative to maintain educational quality, which requires necessitates a thorough evaluation of teaching methods. The advent of mixed reality (MR) technology, combined with interactive mobile capabilities, introduces innovative possibilities for traditional educational assessment frameworks. This study is dedicated to investigating the application of MR and interactive mobile technologies in higher education teaching evaluations, with a focus on assessing their effectiveness and implementation outcomes. Research to date has explored MR’s educational applications. However, the integration of interactive mobile technologies alongside MR in developing specific methodologies and evaluative tools for teaching evaluations has not been fully realized. This underutilizes the combined potential of these technologies. This paper is anchored in two principal research endeavors. Initially, it delves into the construction of a meta-model facilitated by MR-aided and interactive mobile-enhanced teacher-student interactions, utilizing a hierarchical remote interaction pyramid model. This process involves developing extensible associative functions, determining index weights, and establishing evaluation levels, which collectively enhance the evaluation’s multidimensionality, interactivity, and scientific precision. Subsequently, the analytic hierarchy process (AHP) is employed to quantitatively assess the educational impact of MR and interactive mobile experiences on students. This approach provides support for customized and precise teaching evaluations. The findings reveal that integrating MR technology with interactive mobile capabilities significantly enhances the interactivity and systematic scientific approach of teaching evaluations. This fosters a more multidimensional and interactive framework for educational evaluation.

Detection System Based on Text Adversarial and Multi-Information Fusion for Inappropriate Comments in Mobile Application Reviews

With the rapid development of mobile application technology, the content and forms of comments disseminated on the internet are becoming increasingly complex. Various comments serve as users’ firsthand reference materials for understanding the application. However, some comments contain a significant amount of inappropriate content unrelated to the app itself, such as gambling, loans, pornography, and game account recharging, seriously impacting the user experience. Therefore, this article aims to assist users in filtering out irrelevant and inappropriate messages, enabling them to quickly obtain useful and relevant information. This study focuses on analyzing actual comments on various Chinese apps on the Apple App Store. However, these irrelevant comments exhibit a certain degree of concealment, sparsity, and complexity, which increases the difficulty of detection. Additionally, due to language differences, the existing English research methods exhibit relatively poor adaptability to Chinese textual data. To overcome these challenges, this paper proposes a research method named “blend net”, which combines text adversarial and multi-information fusion detection to enhance the overall performance of the system. The experimental results demonstrate that the method proposed in this paper achieves precision and recall rates both exceeding 98%, representing an improvement of at least 2% compared to existing methods.

Application of Mobile Technology and Information Management in Emergency Pre- Examination and Triage

The primary objective of emergency pre-examination and triage is to provide the most appropriate clinical service to patients with acute and critical illnesses while ensuring the optimal utilization of limited medical resources. With the advancement of medical information technology, mobile technology, and information management, these features have been gradually incorporated into emergency pre-examination and triage and have shown promising outcomes. In this article, the benefits of implementing mobile technology and the current status of integrated information management to provide a reference for the future development and enhancement of emergency pre-examination and triage are reviewed.

Accuracy of the application of mobile technologies for measurements made in headings of the Kłodawa Salt Mine

Abstract The “Kłodawa” salt mine, due to geological conditions and continuous salt extraction, is subject to a range of measurements documenting the speed of changes in the geometry of the chambers. Cyclic surveys are conducted under challenging conditions several hundred metres underground. Consequently, measurement methods used for determining the parameters of the ongoing clamping should be of high precision but also be resistant to dense dust (in fields of active mining) and strong gusts (near ventilation shafts). The research presented here concerns the analysis of the possibilities of solutions offered by modern technologies in mine conditions. Test measurements were conducted at observation stations using linear bases stabilized with metal pins. The base points were located in the aisles, ceiling, and bottom of the chamber in Field 1 of “Kłodawa” salt mine at the depth of 600m. Point clouds mapping the object were acquired using a Leica RTC360 3D laser scanner and two mobile devices: Motorola G100 smartphone and iPad Pro with LiDAR technology using the Pix4Dcatch application. The accuracy of the point cloud from the Leica RTC360 3D laser scanner was determined by comparing it with classic measurements taken with a Leica Disto laser rangefinder. The repeatability and accuracy of the point cloud from a smartphone were examined using statistical analysis based on Pearson’s correlation coefficient and cross-correlation. An attempt was also made to approximate the correlation between the obtained errors and two parameters: the number of images and the size of the object.

A Study on Influencing Factors of Willingness to Use E-CNY Based on Logistic Model

The development of mobile technology has facilitated the widespread adoption of digital currency worldwide. An important application of mobile technology is digital currency, which has gained global popularity due to its blockchain and peer-to-peer mobile payment mechanisms. The emergence of private digital currencies, such as Bitcoin, poses a challenge to the monetary policy of governments. To address this threat, many central banks are developing their own central bank digital currencies (CBDCs) with legal support. China’s CBDC, e-CNY (electronic China Yuan), is one of the most advanced examples of this innovation. However, the adoption and usage of e-CNY by residents is still limited and requires improvement. This paper aims to identify and analyze the factors that influence residents’ willingness to use e-CNY, based on a literature review and a logistic regression model. The results indicate that residents’ awareness, convenience, cost, promotional activities, and the involvement of relevant parties (merchants, commercial banks, payment institutions, and the People’s Bank of China (PBC)) significantly influence their willingness to use e-CNY. This paper presents implications and suggestions for promoting and implementing e-CNY in China.

Pengembangan Aplikasi Pose Detection untuk Asesmen Kemajuan Fisioterapi Pasien Pasca Stroke dari Jarak Jauh

Assessment has an important role in determining the diagnosis and subsequent treatment plan. In an effort to increase access and effectiveness of rehabilitation, this research aims to develop a mobile application that is able to report the results of post-stroke patient pose assessment remotely. Telemedicine approaches in post-stroke rehabilitation have become increasingly popular, allowing patients to access rehabilitation services remotely. This is especially beneficial for patients who live in remote areas or have limited mobility. Telemedicine also allows for real-time patient monitoring, allowing adjustments to rehabilitation plans as needed. The mobile app is designed to provide easy access to rehabilitation programs that can be tailored to individual patient needs. In addition to making access easier, this application is equipped with a monitoring feature that allows health professionals to follow patient progress in detail. Data collected from patients' daily exercise and activities provides valuable insight into their progress, which can be used in tailoring rehabilitation plans in real-time. The development of this mobile application technology has great potential to improve rehabilitation outcomes for post-stroke patients. Testing by three experts with two experts as healthy patients and stroke patients, as well as one patient who acts as a medical personel to monitor, shows that from the graph, healthy patients tend to be consistent. On the other hand, post-stroke patients tend to be inconsistent. These results indicate that this application is effective for identifying patient movements during the rehabilitation process. Although there are several obstacles, such as delays in predictions on some devices, this application has great potential to improve the quality of life of post-stroke patients. Thus, the development of a pose detection application for remotely assessing the progress of physiotherapy in post-stroke patients has great potential in improving rehabilitation outcomes. The app facilitates patient access to appropriate, personalized and effective care, while providing medical personnel with objective and accurate data for monitoring and adjusting rehabilitation plans. This is a significant step in advancing the care of post-stroke patients.

Academic librarians’ perceptions of mobile technology’s usefulness in library service delivery at universities of technology in South Africa

PurposeGlobally, mobile technology is a significant factor influencing how libraries are changing the ways of delivering services to today’s users. This paper aims to explore academic librarians’ perceptions of the usefulness of mobile technology in delivering library services and the efforts required for its successful adoption.Design/methodology/approachThe study was conducted within an interpretive paradigm. The research objectives were underpinned by the unified theory of acceptance and use of technology as a theoretical framework. Data were collected through semi-structured interviews and analyses using NVIVO for thematic analysis.FindingsResults show that, in general, academic librarians support the use of mobile technology to provide services such as access to eBooks and Journals, Online Public Access Catalogue, Bookmyne application, information literacy consultations and training. Library managers, fellow librarians and users were identified as encouraging the adoption of mobile technology to enhance library services. The paper further confirms that the successful adoption of mobile technology requires some effort. However, due to some of the challenges presented in the study, a majority of respondents felt that their libraries are not yet ready to fully embrace mobile technology the way it is envisioned in today’s world.Practical implicationsThe study endeavours to address the divergence between students and academic librarians’ viewpoints regarding the application of mobile technology in the provision of library services.Originality/valueThis paper highlights numerous ways that academic librarians could adopt and embrace mobile technology, which can benefit both academic libraries and other institutions of higher learning. The knowledge presented in this paper could assist academic librarians in assessing their institutions’ vulnerabilities, challenges and strengths in using mobile technologies to provide library services.

Research on the Innovation of University English Teaching Mode Assisted by Mobile Technology Combined with SAMR Model

Abstract With the burgeoning advancements in mobile technology, mobile learning has garnered significant interest across various sectors, emphasizing its crucial role in enhancing educational frameworks and nurturing students’ core competencies. This study uses the UTAUT model to create a research framework for the factors that affect teaching college English using mobile technology. Taking first-year students to junior students of a university as an example, the study collects relevant data through questionnaire surveys. It carries out correlation analysis, difference test, and regression analysis to explore the factors influencing college students’ English mobile learning. Then, combined with the SAMR model, the English teaching model of online integration and teacher-student synergy is proposed. The design of teaching experiments is used to study the effect of this paper’s teaching model. The analysis shows that community influence, performance expectations, effort expectations, content and resources, and perceived self-efficacy all have a positive effect on mobile technology use in English teaching (p < 0.001), with the effects of perceived self-efficacy (0.363) and performance expectations (0.331) being particularly significant. The receptive vocabulary, output vocabulary, and comprehensive test of the students in the experimental class improved by 12.34%, 20.65%, and 15.84%, respectively, and the application of mobile technology under the SAMR model has a significant contribution to the improvement of college students’ English proficiency.

Effectiveness of Android-Based Mobile Learning in Graphic Design Course for Digital Learning: The Development Research Study

This research spearheads the development and evaluation of an Android-based mobile learning platform specifically designed for graphic design education, using the 4-D model (Define, Design, Develop, Disseminate). The key findings indicate a substantial and statistically significant improvement in learning outcomes (t-count = −15.453, t-table = 2.019), highlighting the positive impact of the platform. Moreover, the Android-based learning platform proves highly effective in enhancing student motivation, with an average learning motivation score of 85.86%. The novelty of this research lies in its focus on a specific application of mobile learning technology in graphic design education, offering valuable insights for educational institutions navigating digital challenges. The platform not only contributes to improved learning quality but also fosters a creative mobile development environment, encouraging further research for its optimization in diverse educational contexts. Limitations include the need for ongoing technological updates and potential variations in device accessibility. Recommendations encompass continuous research for platform optimization, integration into broader educational settings, and adapting to evolving technological landscapes.

Faculty Perspectives on Web Learning Apps and Mobile Devices on Student Engagement

Aim/Purpose: The digital ecosystem has contributed to the acceleration of digital and mobile educational tools across institutions worldwide. The research displays educators’ perspectives on web applications on mobile devices that can be used to engage and challenge students while impacting their learning. Background: Explored are elements of technology in education and challenges and successes reported by instructors to shift learning from static to dynamic. Methodology: Insights for this study were gained through questionnaires and focus groups with university educators in the United Arab Emirates. Key questions addressed are (1) challenges/benefits, (2) types of mobile technology applications used by educators, and (3) strategies educators use to support student learning through apps. The research is assisted by focus groups and a sample of 42 completed questionnaires. Contribution: The work contributes to web/mobile strategic considerations in the classroom that can support student learning and outcomes. Findings: The results reported showcase apps that were successfully implemented in classrooms and provide a perspective for today’s learning environment that could be useful for instructors, course developers, or any educational institutions. Recommendations for Practitioners: Academics can integrate suggested tools and explore engagement and positive associations with tools and technologies. Recommendation for Researchers: Researchers can consider new learning applications, mobile devices, course design, learning strategies, and student engagement practices for future studies. Impact on Society: Digitization and global trends are changing how educators teach, and students learn; therefore, gaps need to be continually filled to keep up with the pace of ever-evolving digital technologies that can engage student learning. Future Research: Future research may focus on interactive approaches toward mobile devices in higher education learning and shorter learning activities to engage students.

SODRet: Instance retrieval using salient object detection for self-service shopping

Self-service shopping technologies have become commonplace in modern society. Although various innovative solutions have been adopted, there is still a gap in providing efficient services to consumers. Recent developments in mobile application technologies and internet-of-things devices promote information and knowledge dissemination by integrating innovative services to meet users’ needs. We argue that object retrieval applications can be used to provide effective online or self-service shopping. Therefore, to fill this technological void, this study aims to propose an object retrieval system using a fusion-based salient object detection (SOD) method. The SOD has attracted significant attention, and recently many heuristic computational models have been developed for object detection. It has been widely used in object detection and retrieval applications. This work proposes an instance retrieval system based on the SOD to find the objects from the commodity datasets. A prediction about the object’s position is made using the saliency detection system through a saliency model, and the proposed SOD-based retrieval (SODRet) framework uses saliency maps for retrieving the searched items. The method proposed in this work is evaluated on INSTRE and Flickr32 datasets. Our proposed work outperforms state-of-the-art object retrieval methods and can further be employed for large-scale self-service shopping-based points of sales.

Design and Development of the Mobile-Based Hydroponic Planting Machine Application MyHydro

In the contemporary era, technological advancements have significantly impacted various aspects of human life, offering increased efficiency and convenience. Indonesia, aiming to enhance international competitiveness, recognizes the importance of integrating technological innovation across economic sectors. Despite its abundant natural resources, Indonesia's vital agricultural sector faces challenges, including the limited adoption of modern technology, resulting in suboptimal productivity. This study focuses on addressing these challenges by developing the MyHydro mobile application, utilizing IoT and Progressive Web App (PWA) technology to enable remote monitoring and control of hydroponic systems. The research methodology includes literature review, user requirement analysis, system design, and black-box testing. Results show that MyHydro successfully bridges the gap between traditional farming practices and modern technology. Users can efficiently monitor and control hydroponic systems, enhancing crop yields and promoting sustainability in Indonesian agriculture. In conclusion, MyHydro offers a valuable solution to modernize Indonesian farming, aligning with global trends in smart agriculture. It empowers farmers and contributes to the nation's agricultural growth.

Applications of Mobile Health Technologies to Address Cardiometabolic Health Disparities in the United States: A Systematic Review

Introduction Black and Hispanic adults are disproportionately burdened by cardiometabolic disorders. The aim of this systematic review was to examine the effectiveness of mobile health technologies to promote disease prevention and self-management among US adults in diverse communities. Methods Potential studies were identified using a comprehensive search of the PubMed and EMBASE databases for recent studies published from December 2018 through 2021. Keywords and search strategies were established to focus on health disparity populations and the application of mobile health technology for cardiovascular disease risk reduction. Titles and abstracts were assessed and, if a study was eligible, 2 independent reviewers completed a full-length review with extraction in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results A total of 13 studies met our inclusion criteria. Study sample sizes ranged from 8 to 533 baseline participants. Studies were conducted in diverse communities (eg, North Carolina and California). Most studies used mobile applications (n=11) and a majority used accelerometers or similar technologies (eg, smartwatches) to assess changes in dietary behavior, blood pressure control, and physical activity. Overall, studies reported positive associations between mobile technology use and risk factor reduction actions and behaviors. Long-term adherence varied across studies. Those that prioritized culturally tailored approaches reported more significant impacts than those that did not. Conclusions Evidence suggests that mobile technology may be useful in promoting disease self-management and risk reduction among populations at higher risk of cardiometabolic diseases. The use of mobile health technologies, particularly when tailored to target populations, may be a practical approach to advancing population health equity.

PENGEMBANGAN MOBILE VILLAGE (M-VILLAGE) MEWUJUDKAN PLERET DESA CERDAS

The potential of the village is the strength, capability and capability of the village which has the possibility to be developed to improve the welfare of the community. Karet Village which is located in Pleret Bantul Village has tourism, handicraft, culinary and cultural potential to be developed towards the Tourism Village. However, it is unfortunate because no application development has been seen so that this potential is not yet known by the wider community. For this reason, efforts are made to make this area more famous so that it can improve the welfare of the local community. This research will develop the concept of a mobile village by building an Android-based mobile technology application to inventory tourism, culinary and cultural potential in Karet Village, Pleret Village, Bantul, as a supporter of the Smart Village concept. This research is expected to be able to provide a mobile application to inventory the potential for tourism, culinary and culture. This application can also be used to support the promotion and realization of the Smart Village concept.

Development and user acceptability testing of healthy heart mobile application- a tool for cardiovascular risk modification among patients with type 2 diabetes mellitus.

Cardiovascular disease (CVD) remains the primary cause of mortality in individuals with type 2 diabetes mellitus. Digital health has quickly emerged as a technology with the ability to bridge the gap in cardiovascular disease self-management and revolutionize the way healthcare has traditionally been delivered. However, there is little data on the application of mobile technologies for cardiovascular risk reduction among diabetic patients. The current study has been constructed with this in mind. A framework for the development of a healthy heart mobile application for CVD risk stratification and risk management among Type 2 diabetes mellitus patients was finalized after consultation with diabetologists, nutritionists, and scientists. The mobile app has three user cases: Patient login, doctor login, and admin login. A questionnaire was designed and the feedback of patients and Physicians was taken regarding the design, presentation, content, and user-friendliness of the app based on responses obtained on the questionnaire. The Android version of the healthy heart mobile mobile app was developed for CVD risk stratification and risk management among type 2 diabetes mellitus patients. The dashboard of the mobile app displayed the CVD risk score and category (mild, moderate, high, or very high CVD risk; which was colored coded), health tracker to monitor medication adherence, lipid profile, diabetes control, CVD risk profile and compliance with the WHO recommendations regarding diet, physical activity and addictions, User acceptability and experience were tested for the developed healthy heart mobile app among patients and physicians. The majority of the respondents graded the design, presentation, content, and user-friendliness of the app as either excellent or good. The mobile app for self-management and CVD risk reduction among diabetic patients was successfully developed. The paper and mobile-based CVD risk calculation and stratification were found to be a match for all the participants. The app was updated based on suggestions from the pilot study and was well-accepted by both patients and physicians.