Search

Pressure ulcers are serious healthcare concerns, especially for the elderly with reduced mobility. Severe pressure ulcers are accompanied by pain, degrading patients' quality of life. Thus, speedy and accurate detection and classification of pressure ulcers are vital for timely treatment. The conventional visual examination method requires professional expertise for diagnosing pressure ulcer severity but it is difficult for the lay carer in domiciliary settings. In this study, we present a mobile healthcare platform incorporated with a light-weight deep learning model to exactly detect pressure ulcer regions and classify pressure ulcers into six severities such as stage 1–4, deep tissue pressure injury, and unstageable. YOLOv8 models were trained and tested using 2800 annotated pressure ulcer images. Among the five tested YOLOv8 models, the YOLOv8m model exhibited promising detection performance with overall classification accuracy of 84.6% and a mAP@50 value of 90.8%. The mobile application (app) was also developed applying the trained YOLOv8m model. The mobile app returned the diagnostic result within a short time (≒3 s). Accordingly, the proposed on-device AI app can contribute to early diagnosis and systematic management of pressure ulcers. [ABSTRACT FROM AUTHOR]

Keeping up with the fast evolution of mobile operating systems is challenging for developers, who have to frequently adapt their apps to the upgrades and behavioral changes of the underlying API framework. Those changes often break backward compatibility. The consequence is that apps, if not updated, may misbehave and suffer unexpected crashes if executed within an evolved environment. Being able to quickly identify the portion of the app that should be modified to provide compatibility with new API versions can be challenging. To facilitate the debugging activities of problems caused by backward incompatible upgrades of the operating system, this paper presents FILO, a technique that is able to recommend the method that should be modified to implement the fix by analyzing a single failing execution. FILO can also provide additional information and key symptomatic anomalous events that can help developers understand the reason for the failure, therefore facilitating the implementation of the fix. We evaluated FILO against 18 real compatibility problems related to Android upgrades and compared it with Spectrum-Based Localization approaches. Results show that FILO is able to efficiently and effectively identify the fix-locus in the apps. [ABSTRACT FROM AUTHOR]

Since consumers' impulse buying intentions can be easily completed via mobile platforms, impulse buying of travel products has become more common. Hence, this study aimed to understand how mobile tourism applications affect travelers' impulse purchase behaviors. Utilizing the S-O-R framework and distinguishing environmental stimuli and consumer behaviors, this study proposed a conceptual model and hypotheses to investigate the relationship between usability, information effectiveness, emotional arousal, and impulsive purchase intentions in the context of mobile applications. Based on 63 responses, the experiment applied neuroscience methods and found that information effectiveness positively affected impulsive purchase intentions, while usability and emotional arousal did not have significant effects. Hence, results offer practical insights into the development of travel applications and extend the S-O-R framework with the inclusion of emotional arousal. [ABSTRACT FROM AUTHOR]

In this work, we present IoT, a freeware application for Android mobile devices that belongs to the remote laboratory platform called IoT.PhysicsSensor Mobile Edition. It incorporates the potentialities of the IoT to acquire, store, visualize, and analyze data using smartphones. This application, integrated into low‐cost hardware, can be used to conduct online and real‐time laboratory practices. Additionally, hundreds of users can be connected to the lab without limiting their participation due to the physical location or equipment available in the facilities. To test the capabilities of the architecture proposed in this work, a practice to measure the value for the acceleration of gravity from a free‐fall experience was designed. A group of 101 students from the Universidad Nacional de Colombia‐Sede Medellin and another of 63 students from Universidad Nacional de Colombia‐Sede de La Paz, Cesar, participated in the practice, thus obtaining results with a high degree of accuracy and precision and excellent reproducibility. This platform is emerging as a critical tool to face the digital transformation of educational environments, including those generated by the COVID‐19 pandemic. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to develop a mobile application (app) specifically designed for enhancing farm management and performance assessment in fattening beef cattle. Materials and Methods: The development process followed a user-centered design approach, which involved focus group discussions and key informant interviews with 20 participants to design content and features. The app was developed for both mobile and web platforms. After the prototype and launch of the app, the system usability scale (SUS) and user satisfaction were assessed. Results: The assessment findings identify the specific expected functions in the app, with the farm accounting records function being the most desired feature among users, followed by production analysis, production records, and resource inventory. The mean SUS score was calculated to be 75.17, indicating a qualitative assessment of "Good." The assessment of user satisfaction indicated that the mean satisfaction score for all participants was 4.26, suggesting a high level of satisfaction and a favorable perception of the app. Conclusion: This app provides an alternative way to record farm activity, suggest feed and feeding schedules, and provide financial management tools designed explicitly for small-scale beef cattle farmers. [ABSTRACT FROM AUTHOR]

Digital Therapeutics (DTx) are experiencing rapid advancements within mobile and mental healthcare sectors, with their ubiquity and enhanced accessibility setting them apart as uniquely effective solutions. In this evolving context, our research focuses on deep breathing, a vital technique in mental health management, aiming to optimize its application in DTx mobile platforms. Based on well-founded theories, we introduced a gamified and affordancedriven design, facilitating intuitive breath control. To enhance user engagement, we deployed the Mel Frequency Cepstral Coefficient (MFCC)- driven personalized machine learning method for accurate biofeedback visualization. To assess our design, we enlisted 70 participants, segregating them into a control and an intervention group. We evaluated Heart Rate Variability (HRV) metrics and collated user experience feedback. A key finding of our research is the stabilization of the Standard Deviation of the NN Interval (SDNN) within Heart Rate Variability (HRV), which is critical for stress reduction and overall health improvement. Our intervention group observed a pronounced stabilization in SDNN, indicating significant stress alleviation compared to the control group. This finding underscores the practical impact of our DTx solution in managing stress and promoting mental health. Furthermore, in the assessment of our intervention cohort, we observed a significant increase in perceived enjoyment, with a notable 22% higher score and 10.69% increase in positive attitudes toward the application compared to the control group. These metrics underscore our DTx solution's effectiveness in improving user engagement and fostering a positive disposition toward digital therapeutic efficacy. Although current technology poses challenges in seamlessly incorporating machine learning into mobile platforms, our model demonstrated superior effectiveness and user experience compared to existing solutions. We believe this result demonstrates the potential of our user-centric machine learning techniques, such as gamified and affordance-based approaches with MFCC, which could contribute significantly to the field of mobile mental healthcare. [ABSTRACT FROM AUTHOR]

The need for e-commerce is primarily for business actors such as Anugerah PC, which is engaged in PC repair and sales services. Since the COVID-19 pandemic devastated the industrial world, more time has passed, and ideas have emerged to build digital-based applications, even mobile-based ones. Digital-based, for example, is the existence of an application website that is very user-friendly but needs development, such as the development of an Android mobile or iOS mobile application, depending on the operating system used by the mobile device. This research is one of the answers to this problem. Anugerah PC built a mobile-based application to answer the challenges in the current 5.0 industrial revolution era. So, with this application, Anugerah stores can get a lot of followers, especially customers who are ready to buy at Anugerah stores. Anugerah PC shop can be the best in sales through e-commerce with a very flexible Android Mobile system. [ABSTRACT FROM AUTHOR]

Transport always did play a significant role in shaping how humans developed over the millennia. Movement of goods or people from source to destination has always been the primary goal offered, and it was always improved over centuries. There have been always due improvements and modern transportation systems have come a long way, however there are still challenges that need to be addressed. In this paper we present an optimized micro services based backend system with a cross platform mobile application built on Flutter for tracking a transport vehicle. The proposed database design and the mobile application, excel in all the areas of scalability, security, reliability, speed, compatibility, integration and cost effectiveness and proposes a new method of cheap and effective system development than the existing systems [ABSTRACT FROM AUTHOR]

• Motorised transport is contributing to the decline of environmental and human health. • A greater understanding of the types of behavioural interventions used in active travel research is required. • Personalised travel plans and mobile applications were the most common behavioural interventions identified. • There is a need for more robust, theory-driven study designs to enable research translation. The societal reliance on motorised transport is negatively affecting the health of humans and the environment. Active travel provides a unique solution to both issues by removing the number of motorised vehicles on the road, while also increasing physical activity rates. Interventions that encourage greater uptake of active travel are considered to be highly beneficial to society. This systematic review of the literature sought to provide evidence to answer the question which behavioural interventions increase commuter cycling? Five databases were searched to identify articles that tested a behavioural intervention to increase commuter cycling. Article parameters were defined from the literature and in consultation with the research team. Study selection, quality appraisal and data extraction were undertaken using Covidence. The final 25 articles revealed that personalised travel plans and mobile phone-based platforms were the most common interventions. Unvalidated travel surveys were the most widely used mode of data collection. Modest increases in commuter cycling were observed across studies; however, the heterogeneity of study designs and reporting of results did not allow aggregation of findings. This review highlights the need for high quality behavioural science research into active travel. This will assist us to better understand the most effective interventions that increase levels of commuter cycling, subsequently improving environmental and human health. [ABSTRACT FROM AUTHOR]

This research study aims to solve user location issues within the campus at an educational institution. As this campus comprises a large number of places and departments, users often get confused about how to reach a specific location. To address this problem, the “Ubícate” (“locate by yourself” in Spanish) application was developed following the CDIO methodology, which encompasses four creative process steps: conceive, design, implement, and operate. The “Ubícate” app provides users with information on places of interest such as schools, departments, halls, auditoriums, and sports venues, offering a visual reference of available locations through 360-degree images. The application also uses Google Maps to track user location within the campus, thus marking a reference route between university gates and the different locations available, in addition to providing information on university-sponsored events. In this paper, Section 2 describes the methodology and each of the stages that were addressed in the following sections. Section 3 presents the development itself and the data used for the purposes thereof. Next, Section 4 reveals the results from this study. Later, Section 5 assesses these results and the findings from the study. In Section 6, our conclusions are discussed. Finally, Section 7 lists topics for future research. The application did indeed contribute to improving the attendance of the academic community at events. Where the application was used, the first-hand perception of visitors and their own was very positive and enhanced the institutional image and sense of belonging. The contribution of this study consists of presenting a mobile application as a solution from three approaches: the technical aspects for application development, the business vision to satisfy the user’s needs, and the end user’s perception. All three approaches provide a technical reader, an entrepreneur, or an end user an overview of a scalable solution to different types of implementations in different types of businesses that require indoor location through the use of technologies in mobile applications. The mobile application performs the location indoors using the Google Maps platform, allowing a more agile development in implementing the APP. [ABSTRACT FROM AUTHOR]

Powered by the rising popularity of deep learning techniques on smartphones, on-device deep learning models are being used in vital fields such as finance, social media, and driving assistance. Because of the transparency of the Android platform and the on-device models inside, on-device models on Android smartphones have been proven to be extremely vulnerable. However, due to the challenge in accessing and analyzing iOS app files, despite iOS being a mobile platform as popular as Android, there are no relevant works on on-device models in iOS apps. Since the functionalities of the same app on Android and iOS platforms are similar, the same vulnerabilities may exist on both platforms. In this article, we present the first empirical study about on-device models in iOS apps, including their adoption of deep learning frameworks, structure, functionality, and potential security issues. We study why current developers use different on-device models for one app between iOS and Android. We propose a more general attack against white-box models that does not rely on pre-trained models and a new adversarial attack approach based on our findings to target iOS's gray-box on-device models. Our results show the effectiveness of our approaches. Finally, we successfully exploit the vulnerabilities of on-device models to attack real-world iOS apps. [ABSTRACT FROM AUTHOR]

Although mobile platform ecosystems are highly competitive environments, they provide important entrepreneurial opportunities for app developer organizations. To facilitate app innovations, platform owners regularly release platform boundary resources (PBRs) by adding novel technologies at the platform level. App developer organizations, however, face high levels of technological uncertainty as they create app-level innovations based on PBRs. We examine the effectiveness of the level of distributed sensemaking about PBRs in a context of technological uncertainty arising from either PBR's technological unrelatedness with prior PBRs or app complexity. Using a dataset of 933 PBR-based app innovations, the findings significantly contribute to our understanding of the duality between competition and cooperation in a platform ecosystem. We demonstrate that distributed sensemaking among app developers, who potentially compete against each other, is crucial for enhancing app competitive performance, especially when technological uncertainty is high. Thus, we encourage greater cooperation among app developer organizations to leverage PBRs. [ABSTRACT FROM AUTHOR]

The two mobile operating systems Android and i(Pad)OS have dominated the smartphone and tablet market for years and app providers have to offer their apps for both systems in most cases in order to be competitive or to be able to reach the majority of potential customers. In native app development, separate applications have to be written and maintained for each platform. Often, apps are developed for one platform first and the second app is developed at a later stage, after some feedback could be collected. This porting from one system to the other can be either (partially) automated or manual, but in any case, it has its challenges. Both systems were designed with different approaches and differ greatly in some parts from each other – not only visually, but also in terms of the underlying structure. To illustrate the porting process, the Android app “Schoolstart Screening App”, which was developed for the Federal Ministry of Education, Science and Research of Austria by Graz University of Technology at the OU Educational Technology, was ported so that it can be used also on iPads. Automated approaches were discussed and the chosen process is explained to get a good overview of the topic. [ABSTRACT FROM AUTHOR]

This research paper investigates the integration of blockchain technology to enhance the security of Android mobile app data storage. Blockchain holds the potential to significantly improve data security and reliability, yet faces notable challenges such as scalability, performance, cost, and complexity. In this study, we begin by providing a thorough review of prior research and identifying critical research gaps in the field. Android's dominant position in the mobile market justifies our focus on this platform. Additionally, we delve into the historical evolution of blockchain and its relevance to modern mobile app security in a dedicated section. Our examination of encryption techniques and the effectiveness of blockchain in securing mobile app data storage yields important insights. We discuss the advantages of blockchain over traditional encryption methods and their practical implications. The central contribution of this paper is the Blockchain-based Secure Android Data Storage (BSADS) framework, now consisting of six comprehensive layers. We address challenges related to data storage costs, scalability, performance, and mobile-specific constraints, proposing technical optimization strategies to overcome these obstacles effectively. To maintain transparency and provide a holistic perspective, we acknowledge the limitations of our study. Furthermore, we outline future directions, stressing the importance of leveraging lightweight nodes, tackling scalability issues, integrating emerging technologies, and enhancing user experiences while adhering to regulatory requirements. [ABSTRACT FROM AUTHOR]

One of the most time‐consuming task for teachers is creating and correcting exercises to evaluate students. This is normally performed by hand, which incurs high time costs and is error‐prone. A way to alleviate this problem is to provide an assistant tool that automates such tasks. In the case of exercises based on diagrams, they can be represented as models to enable their automated model‐based generation for any target environment, like web or mobile applications, or learning platforms like Moodle. In this paper, we propose an automated process for synthesizing five types of diagram‐based exercises for the Moodle platform. Being model‐based, our solution is domain‐agnostic (i.e., it can be applied to arbitrary domains like automata, electronics, or software design). We report on its use within a university course on automata theory, as well as evaluations of generality, effectiveness and efficiency, illustrating the benefits of our approach. [ABSTRACT FROM AUTHOR]

With the rapid development and wide popularity of Internet technology, mobile application services have become an indispensable part of people's daily life. As a typical mobile application service, mobile office can provide an anytime, anywhere platform, enabling users to use fragmented time and fully improve office efficiency. However, it differs from the traditional one in that the user's identity cannot be directly identified in real space. Therefore, the need to ensure the authenticity of the user's identity is not negligible. Authentication technology is one of the effective technologies to verify the identity of users. However, there are few authentication schemes for the mobile office. Therefore, this paper proposes a trusted authentication scheme based on a super SIM card for the mobile office. Based on the Generic Bootstrapping Architecture (GBA) authentication technology of the super SIM card, the authentication between the terminal device and the operator is realized. The authentication credentials are generated to provide trusted authentication for mobile office applications. We also have a comprehensive security analysis and proof that the scheme satisfies two-way authentication, anti-replay attack, anti-forgery attack, anti-man-in-the-middle attack and non-repudiation. [ABSTRACT FROM AUTHOR]

Current mobile platforms pose many privacy risks for the users. Android applications (apps) request access to device resources and data, such as storage, GPS location, camera, microphone, SMS, phone identity, and network information. Legitimate mobile apps, advertisements (ads), and malware all require access to mobile resources and data to function properly. Therefore, it is difficult for the user to make informed decisions that effectively balance their privacy and app functionality. This study analyzes the Android application permissions, ad networks and the impact on end-user's privacy. Dangerous combinations of app permissions, and ad networks are used as features in our prediction models to understand the behavior of apps. Our models have a high classification accuracy of 95.9% considering the imbalance in real life between benign and malicious apps. Our assumption that certain app permissions can be a potential threat to the privacy of end users is confirmed to be one of the most impactful features of our prediction models. Since our study considers the impact of ad networks and malware permissions, it will help end-users make more informed decision about the app permissions they grant and understand that the app permissions open doors to more vulnerabilities, and at some point, benign apps can behave maliciously. [ABSTRACT FROM AUTHOR]

Recently, various mobile apps have included more features to improve user convenience. Mobile operating systems load as many apps into memory for faster app launching and execution. The least recently used (LRU)-based termination of cached apps is a widely adopted approach when free space of the main memory is running low. However, the LRUbased cached app termination does not distinguish between frequently or infrequently used apps. The app launch performance degrades if LRU terminates frequently used apps. Recent studies have suggested the potential of using users' app usage patterns to predict the next app launch and address the limitations of the current least recently used (LRU) approach. However, existing methods only focus on predicting the probability of the next launch and do not consider how soon the app will launch again. In this paper, we present a new approach for predicting future app launches by utilizing the relaunch distance. We define the relaunch distance as the interval between two consecutive launches of an app and propose a memory management based on app relaunch prediction (M2ARP). M2ARP utilizes past app usage patterns to predict the relaunch distance. It uses the predicted relaunch distance to determine which apps are least likely to be launched soon and terminate them to improve the efficiency of the main memory. [ABSTRACT FROM AUTHOR]

Moblie platform is an online store for distributing mobile apps and designed to connect mobile app developers and users. Mobile platform launches in-app advertisement for their advertisers to monetize the mobile app market. Unlike traditional advertising, the profitability of in-app advertising is not only affected by the decision of the platform, but also by the decision of the app developer, and they will share the advertising revenue. We develop an app advertising revenue sharing model with two competitive app developers and one mobile platform. The mobile platform is the leader, and the two app developers are the follower. Our analysis shows that the two app developers may choose to publish or not publish adds. If publishing, app developers may choose to offer a free app with in-app ads, or choose to offer a paid app with in-app ads. These results can be categorized into seven ranges for the platform's given revenue share of advertisement. In addition, we find the platform's optimal choice of ad revenue share is affected by the quality of advertisement. With the improvement of advertising quality, the revenue sharing ratio will first remain unchanged, then decrease, and finally increase. This is caused by the platform's subsidization strategy for app developers. [ABSTRACT FROM AUTHOR]

In the case of recently released smartphones, they support high resolution of 200 million pixels or more and provide functions comparable to the performance of expensive DSLR cameras. The video taken by the camera provides a variety of high-quality video contents due to the technical processing of very fast video editing. In addition, due to the development of mobile media platforms, PC-based long-form contents are changing to short-form contents. This study analyzes and implements the characteristics of various video editing applications provided by mobile devices by dividing them into four stages: scene change, sound control, text insertion, and graphic effect, using data captured by high-resolution mobile cameras. The detail and sophistication of mobile video editing and the development of various templates allow easy video editing without the support of professional video editing equipment. It is expected that changes in the video editing environment will reduce video editing time and increase the efficiency of producing various short-form video contents. [ABSTRACT FROM AUTHOR]

As platform owners interact with end users and complementors, their demand-side characteristics and performance affect the overall value creation of ecosystems. This research investigated how the emergence of popular complements on a mobile communication platform impacts the usage of other complements by the platform's end users and how platform owners can benefit from such demand spillovers. Using individual user-level app usage data, we empirically demonstrated how the presence of a popular app alters the demand structure of a platform through changes in the usage of other apps operating within it. The findings reveal that popular app adoption by users increases the app usage, excluding the usage of popular apps, only within the platform offering a popular app, supporting the existence of positive spillovers from popular complement adoption on a platform. Such positive within-platform spillovers occur through the increased usage of both existing and new apps, with stronger positive spillovers for new apps. These findings imply that platform owners can reap benefits by coordinating the launch of new complements and the promotion of less-known counterparts to end users with the emergence of a popular app. All these results shed light on how platform owners can manage their complements and create value from popular complements. As platform owners interact with end users and complementors, their demand-side characteristics and performance affect the overall value creation of ecosystems. This research investigated how the emergence of popular complements on a mobile communication platform impacts the usage of other complementary products by the platform's end users and how platform owners can benefit from such demand spillovers. We identified two different forms of demand spillovers (i.e., backward and forward) and conceptualized how each subsequently affects platform expansion. On the basis of individual user-level app usage data, we empirically demonstrated how the presence of a popular app alters the demand structure of a platform through changes in the usage of other apps operating within it. The findings reveal that popular app adoption by users increases the number of apps used and the duration of app usage, excluding the usage of popular apps, only within the platform offering a popular app. These results support the existence of positive spillovers from popular complement adoption on a platform. Such positive within-platform spillovers are derived from both backward spillovers onto existing apps adopted before popular app adoption and forward spillovers onto new apps to be adopted after the uptake of favored apps. These patterns suggest that positive spillovers of popular app adoption occur through both the increased retrieval of existing apps and reduced uncertainty about newly released apps. Furthermore, forward spillover is considerably stronger than backward spillover, implying that platform owners can reap benefits by coordinating the launch of new complements and the promotion of less-known counterparts to end users with the emergence of a popular app. These results shed light on how platform owners can manage their complements and create value beyond direct contributions from popular complements. History: Yulin Fang, Senior Editor; Yan Huang, Associate Editor. [ABSTRACT FROM AUTHOR]

The integration of mobile devices into different sectors of society is an increasingly common process; however, their integration as part of medical monitoring for treatments carried out at home is still new, especially their application to the motor development of premature children. This work determines the elements that a mobile application must have to support a hospital-home intervention program aimed at improving motor development in premature infants. The application is designed to work in Android and iOS platforms for mobile devices and to support the hospital-home strategy developed at the Universidad de La Sabana. In this study, an evolutionary device was created, developed and validated along with itsUnity3D tool. The result is an intuitive application that allows parents to strengthen the motor development of their children through a series of 10 exercises designed to stimulate the baby. It consists of a registry of babies, fundamentals, exercise modules and follow-up procedures. The conclusions indicate that although the application is intuitive, some parents have difficulty accessing a mobile device, so it is necessary to create a web version of the application. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to investigate the effects of two visual design principles, repetition and compositional lines, in a food image on purchase intention in the context of a mobile food delivery app and test the effect of crossmodal correspondences between vision and taste as a processing mechanism. Design/methodology/approach: In this study, two experiments were conducted using burgers and iced tea as stimuli. Findings: The results demonstrate that repetition of an identical food product increases visual appeal for both burgers and iced tea. However, the optimal level of repetition was different between the two products. The findings show that different compositional lines generate different levels of visual appeal and the effects of compositional lines vary between burgers and iced tea. The results also validate the serial mediation effects of vision and taste between design principles and purchase intention. Originality/value: The findings of this study add substantially to the understanding of visual information processing in food retailing by demonstrating how design principles such as repetition and compositional lines facilitate crossmodal responses between vision and taste and influence purchase decisions in a mobile platform. Also this study provides guidance as to how food retailers use design principles (e.g. repetition and compositional lines) for different products effectively when the food retailers develop visual digital content for a mobile app. [ABSTRACT FROM AUTHOR]

The MRI process can be a challenging experience for young children. Therefore, general anaesthesia is often used to ensure paediatric patient's compliance. A recent attempt by researchers and practitioners has been the development of mobile applications that are designed to provide a virtual real-like MRI experience. The paper aims to review and provide insight into some of the available MRI mobile applications regarding their functionality and use as well as providing practical suggestions for future mobile application developers in the field. MRI mobile applications that are available on the two platforms of IOS and Android were downloaded and tested to gain the user experience in terms of functionality and overall use. The findings revealed that the available MRI mobile applications designed for the paediatric community lack features and functionalities in terms of appealing to the age groups they had been designed for. Such features include the lack of availability of interactive games, aesthetic layouts, localisation to suit the culture, lack of dual language, etc. The review of the available MRI mobile applications that are designed for paediatric users clearly showed that more work should be done and there is a room for improvement in terms of their designs and functionality. [ABSTRACT FROM AUTHOR]

The objective of this paper is to present development results a technological solution supported by artificial intelligence (AI), for the company Servicios Amma S.A.S. This technological solution has the function to allow the correlation of the socio-behavioral characteristics of the customer, with the profile of the operational staff. This will provide the detection of patterns and prediction of consumption behaviors for the service that leads to the identification of opportunities, reduction of dissatisfaction risks, and improvement of the user's service experience. The methodology used in this study is quantitative, therefore, the demographic, social, psychographic, behavioral and lifestyle characteristics of customers and operating personnel of the company, as well as the beneficiary companies, are the variables defined for the development of this research. Additionally, the development of mathematical algorithms will be used to gather information for data correlation and prediction. The results obtained from this research allowed us to develop and program a mobile application and Land Page that allows data entry for the creation of user profiles for customers, employees, and platform administrators. In this way, Servicios Amma S.A.S. will be able to enhance the services it offers with the help of Artificial Intelligence. [ABSTRACT FROM AUTHOR]

Currently, mobile learning is an inseparable part of education since students use their mobile devices ubiquitously daily. This is also true for foreign language learning where smartphones and their applications are used for practicing all four language skills and language structures. The purpose of this article is to survey the needs of university students as far as the functions and content of a mobile app for foreign language learning are concerned. The methodology was based on an online questionnaire survey, which was conducted among 103 students of the University of Hradec Kralove, Czech Republic, in the period between 30 October 2020 and 24 January 2021. The findings reveal that the potential mobile applications for foreign language learning should be tailored to the language needs of students at the University of Hradec Králové; be targeted at their foreign language level between B1 and B2 of the Common European Reference Framework for Languages; be used at smartphones with Android operating system in particular; offer the possibility of repeating exercises and the combination of different teaching approaches; be free of charge and provide the possibility to choose a corresponding language level; be aimed at practicing specific language skills and knowledge; provide gamification features, offline version, online interaction, notifications; and finally, serve as support to the face-to-face classes. [ABSTRACT FROM AUTHOR]

Mobile applications have gained popularity in healthcare in recent years. These applications are an increasingly important pillar of public health care, as they open up new possibilities for data collection and can lead to new insights into various diseases and disorders thanks to modern data analysis approaches. In this context, Ecological Momentary Assessment (EMA) is a commonly used research method that aims to assess phenomena with a focus on ecological validity and to help both the user and the researcher observe these phenomena over time. One phenomenon that benefits from this capability is the chronic condition tinnitus. TrackYourTinnitus (TYT) is an EMA-based mobile crowdsensing platform designed to provide more insight into tinnitus by repeatedly assessing various dimensions of tinnitus, including perception (i.e., perceived presence). Because the presence of tinnitus is the dimension that is of great importance to chronic tinnitus patients and changes over time in many tinnitus patients, we seek to predict the presence of tinnitus based on the not directly related dimensions of mood, stress level, arousal, and concentration level that are captured in TYT. In this work, we analyzed a dataset of 45,935 responses to a harmonized EMA questionnaire using different machine learning techniques. In addition, we considered five different subgroups after consultation with clinicians to further validate our results. Finally, we were able to predict the presence of tinnitus with an accuracy of up to 78% and an AUC of up to 85.7%. [ABSTRACT FROM AUTHOR]

As a powerful tool in scientific research and industrial technologies, the cold atom absolute gravity sensor (CAGS) based on cold atom interferometry has been proven to be the most promising new generation high-precision absolute gravity sensor. However, large size, heavy weight, and high–power consumption are still the main restriction factors of CAGS being applied for practical applications on mobile platforms. Combined with cold atom chips, it is possible to drastically reduce the complexity, weight, and size of CAGS. In this review, we started from the basic theory of atom chips to chart a clear development path to related technologies. Several related technologies including micro-magnetic traps, micro magneto–optical traps, material selection, fabrication, and packaging methods have been discussed. This review gives an overview of the current developments in a variety of cold atom chips, and some actual CAGS systems based on atom chips are also discussed. We summarize by listing some of the challenges and possible directions for further development in this area. [ABSTRACT FROM AUTHOR]

Visual search has become more popular in recent years, allowing users to search by an image they are taking using their mobile device or uploading from their photo library. One domain in which visual search is especially valuable is electronic commerce, where users seek for items to purchase. Despite the increasing popularity of visual search in e-commerce, no comprehensive study has inspected its characteristics compared to traditional search using a text query. In this work, we present an in-depth comprehensive study of visual e-commerce search. We perform query log analysis of one of the largest e-commerce platforms' mobile search application. We compare visual and textual search by a variety of characteristics, with special focus on the retrieved results and user interaction with them. We also examine image query characteristics, refinement by attributes, and segmentation by user types. Additionally, we examine, for the first time, a wide variety of visual pre- and post-retrieval query performance predictors, several of which showing strong results. Our study points out a variety of differences between visual and textual e-commerce search. We discuss the implications of these differences for the design of future e-commerce search systems. [ABSTRACT FROM AUTHOR]

With millions of mobile apps available today, app developers find it challenging to generate consumer demand. The problem is particularly pronounced in the tail of the demand distribution, where the lack of awareness may deter a high-quality niche app from being successful. App developers can develop new features, incorporate social features to share information about their apps, and increase their relative demand. We evaluate the effect of social and nonsocial or intrinsic features on the demand for apps on the iOS platform. Our findings suggest that only niche apps can increase their demand by incorporating social features. We also find that social features that allow sharing on platforms with large audiences and stronger ties among users, such as Facebook, are most effective. Additionally, social features can increase the demand for all apps when these are introduced along with less common intrinsic features. However, low-quality niche apps should refrain from sharing information about such features on platforms with low tie strength, as this may hurt the demand. Our results demonstrate how social and intrinsic features can have a different impact on the demand of the apps based on their popularity. With a large number of mobile apps on platforms such as iOS and Android, app developers face a significant challenge in generating market demand. Apps can incorporate social features to share information and create awareness. We focus on the impact of these features and their interplay with intrinsic features in the head, body, and tail of the demand distribution. Using a panel of version release notes from the iOS platform, we develop a novel hierarchical deep learning model to extract intrinsic and social features. Our results suggest that social features help increase the demand for tail apps and are also useful for head apps in informing users about new intrinsic features. To explore possible mechanisms, we analyze how different types of social features (personal and platform), intrinsic features (common versus differentiating), and app quality influence demand. We find that social features that allow sharing on platforms with large audiences are more effective at increasing demand than those on personal messaging systems. Furthermore, within platforms, social features perform better on those with stronger ties, such as Facebook as opposed to Twitter. Our analysis of different types of intrinsic features reveals that social features can help increase the demand for all apps when introduced with differentiating or less common intrinsic features. Furthermore, we find that there is a negative effect on the demand of tail apps when differentiating intrinsic features are combined with platform-based social features that have weaker ties. However, this negative effect is limited to low-quality tail apps only. Our results underscore the differences in the effect of different types of social and intrinsic features in various parts of the demand distribution. Our study provides managerial guidance to app developers in enabling social sharing through design choices and generating higher demand. History: Kai Lung Hui, Senior Editor; Beibei Li, Associate Editor. Supplemental Material: The online appendix is available at https://doi.org/10.1287/isre.2022.1151. [ABSTRACT FROM AUTHOR]

In recent years, an increasing number of mobile platforms and applications have adopted traffic encryption protocol technology to ensure privacy and security. Existing researches on encrypted traffic identification approaches often rely on a single-modal feature pattern (such as packet sequence and statistical features), which cannot fully represent the detail information of complex traffic features, and so their predictions are susceptible to anomalies. In order to improve the effect of classification on encrypted app traffic, we propose FusionTC, a novel app traffic classification framework based on feature fusion of flow sequence. FusionTC consists of two-level subclassifiers, which are used to perform decision-level fusion of multimodal features by an upgraded stacking method. The comprehensive capture and fusion of multimodal traffic details, coupled with the refined processing and segmentation of traffic, enables FusionTC to significantly promote classification accuracy and enhance robustness in challenging situations. Based on our self-built app traffic dataset, FusionTC improves the accuracy by at least 3.2% over the state-of-the-art approaches. [ABSTRACT FROM AUTHOR]

The Sustainable Development Goals (SDGs), also known as the Global Goals, were adopted by the United Nations in 2015 as a universal call to end poverty, protect the planet and ensure peace and prosperity for all by 2030. The 17 SDGs have been designed to end poverty, hunger, AIDS and discrimination against women and girls. Despite the clear SDG framework, there is a significant gap in the literature to establish the alignment of systems, projects or tools with the SDGs. In this research work, we assess the SDG alignment of an activity recognition platform for healthcare systems, called ACTIVA. This new platform, designed to be deployed in environments inhabited by vulnerable people, is based on sensors and artificial intelligence, and includes a mobile application to report anomalous situations and ensure a rapid response from healthcare personnel. In this work, the ACTIVA platform and its compliance with each of the SDGs is assessed, providing a detailed evaluation of SDG 7—ensuring access to affordable, reliable, sustainable and modern energy for all. In addition, a website is presented where the ACTIVA platform's compliance with the 17 SDGs has been evaluated in detail. The comprehensive assessment of this novel platform's compliance with the SDGs provides a roadmap for the evaluation of future and past systems in relation to sustainability. [ABSTRACT FROM AUTHOR]

While online shopping has become popular in recent years, certain problems related to customer expectations about the appearance and fitting of clothing items still need to be solved. Online customers looking for clothing products may be unsatisfied as they do not have the possibility to try on clothes and view how they would look on them. Additionally, vendors are burdened with the cost of items returned by unsatisfied customers. Augmented Reality (AR) can help vendors to attract more customers and enhance their shopping experience. Customers are more likely to be satisfied with their purchases when they can try the clothes on before purchasing them, which ultimately reduces the return costs for vendors. This paper presents an AR mobile application called Smart Fitting which was developed in order to allow online customers to try on clothing items by using 3D models virtually. The most recent AR development tools for iOS operating systems, including XCode and Unity, are utilized for creating the proposed mobile application. After an integration testing for the mobile application functions, seven target female consumers participated in the usability evaluation for this mobile application which was meant to prove its ease of use and evaluate the customers’ satisfaction. The obtained results showed that Smart Fitting can improve the users shopping experience by providing a more realistic clothes visualization than the traditional online shopping interfaces. [ABSTRACT FROM AUTHOR]

The research aims to preserve and support the historical memory of Perugia's Fontivegge district through an analysis and valorisation of the existing cultural heritage. The selected case study is represented by the original design of the station, ideated by architect Antonio Cipolla. In order to enhance this project, which was never realised, it was decided to exploit the three-dimensional reconstruction of the building, which had already been elaborated previously, to create a virtual reality experience, through users can visualize, explore and walk inside the build. The purpose is to consolidate the relationship between the historical memory of the city and its users, allowing them a new interaction with the space and bringing them to a deeper level of knowledge and understanding of the place they live. To increase the user base of this virtual experience, it was decided to create an application for mobile devices. The Unreal Engine software was selected for development, given the ease of exporting projects for the main mobile platforms (Android, iOS) and the specific functions for reading GPS data. In fact, the application only allows the exploration of the virtual scenario to real users of the place, so they physically visit it and thus can understand the differences and similarities between the real scenario and the virtual historical reconstruction. Once the geolocation is verified, the app provides the 3D model for a panoramic view of the build under examination and, subsequently, an immersive experience in which it is possible to freely navigate within the virtual reconstruction. [ABSTRACT FROM AUTHOR]

Financial literacy is a person's skills regarding financial knowledge and behavior. In 2019, the National Survey of Financial Literacy and Inclusion (SNLIK) stated that Indonesia had a low level of financial literacy with a percentage of 38.03%. In 2016, the Indonesian government incorporated financial literacy into the K13 curriculum for the high school level to improve financial literacy at the student level. In line with that, students need facilities to help them learn financial literacy. This study aims to build an interaction design of financial mathematics calculators using the User-Centered Design method. The limitation of this study is the design uses a mobile web platform that targets high school students. The results of usability testing on effectiveness get an average task-completion rate score of 92.3%, an average efficiency of 92.0% overall relative efficiency, user satisfaction using the System Usability Scale (SUS) gets a score of 93.2 for the usability factor, and a score of 74 for the learnability factor. The findings of this study indicate that the application is easy to use and provides a positive experience in learning financial literacy. The current study's results will support this application's use in future research as a new tool for providing financial literacy. [ABSTRACT FROM AUTHOR]

Often, solar power parks are built in remote areas where the provider's internet connection using the GSM network is insufficient. In addition, in order to monitor the parameters of each solar module, a very dense arrangement of IoT components would be required, as a result of which the speed of the external network would not be sufficient. In solving this problem, a hybrid data transmission network (there are no universal hybrid network concepts proposed in the literature for monitoring the operating parameters of a solar power park) was designed and tested for the monitoring system of the working parameters (voltage, current, etc.) of the solar power plant. This network consists of RF modules, RS458 modules communicating with a twisted pair cable, a GSM module, etc. PIC series microcontrollers with original programming code written in the C language were used to ensure the operation of the monitoring system and the hybrid data network. The data of the operating parameters of the solar power plant are stored centrally on a server, in a MySQL database. The central server has the ability to display data not only on the graphical output device, but also to transmit it to mobile devices using the Android operating system. During the testing of this network, observations of the working parameters of the 870 W solar power plant were made. Observations lead to the conclusion that such a network can be fully used in solar power parks as an alternative to the GSM network. Analyzing the data, it was found that the efficiency of bifacial type batteries is about 15–20% higher than that of traditional, silicon-based solar batteries. The voltammetric characteristics of a bifacial type battery, a new silicon battery and a 10-year-old battery basically match, which means that the silicon active material of all types of batteries has a similar alloying degree and the same internal resistance. [ABSTRACT FROM AUTHOR]

"Extended Reality (XR)" refers to a unified platform or content that supports all forms of "reality"—e.g., 2D, 3D virtual, augmented, and augmented virtual. We explore how the mobile device can support such a concept of XR. We evaluate the XR user experiences of multi-mode and multitasking among three mobile platforms—(1) bare smartphone (PhoneXR), (2) standalone mobile headset unit (ClosedXR), and (3) smartphone with clip-on lenses (LensXR). Two use cases were considered through: (a) Experiment 1: using and switching among different modes within a single XR application while multitasking with a smartphone app, and (b) Experiment 2: general multitasking among different "reality" applications (e.g., 2D app, AR, VR). Results showed users generally valued the immersive experience over usability—ClosedXR was clearly preferred over the others. Despite potentially offering a balanced level of immersion and usability with its touch-based interaction, LensXR was not generally received well. PhoneXR was not rated particularly advantageous over ClosedXR even if it needed the controller. The usability suffered for ClosedXR only when the long text had to be entered. Thus, improving the 1D/2D operations in ClosedXR for operating and multitasking would be one way to weave XR into our lives with smartphones. [ABSTRACT FROM AUTHOR]

Since the fall was often occurred in elders daily, this paper focused on gait analysis with fall detection to develop a wearable device. To ensure that the mobile application, APP, could be used in different platform of mobile phone, such Android or iOS, the designed wearable device also could be used in cross-platform in mobile phone. Therefore, a cross-platform gait analysis and fall detection wearable device (CPGAFDWD) was proposed. Since CPGAFDWD APP was used in web browser without limiting to platform, it could be used for different platforms of mobile phone. The gait analysis could be detected at home. The fall detection also could be executed in any place immediately. The patients and medical staff all could query the status of rehabilitation in any place and any time via the Internet. The experimental results showed that the correct rate of gait analysis and fall detection could be up to 90% in cross-platform of mobile phone. In the future, CPGAFDWD will be planned to be verified by Institutional Review Board, IRB, for clinical treatment. [ABSTRACT FROM AUTHOR]

Tobacco consumption is a leading cause of preventable death and, despite decades of research, smoking cessation is still a challenge. The number of smokers who attempt to quit smoking every year is high, but only 2-3% remain abstinent after 12 months. Smokers wanting to quit should have the help of healthcare professionals. However, only 1 in 20 who attempts to quit is supervised by a professional. Mobile phone technology has the potential to provide personalized smoking cessation support. Motivational messages and behavioral-changes methods used usually in face-to-face smoking cessation consultations can be modified for delivery via mobile phones. The content can be customized to be patient-centered and tailored for the age, gender and education group of the quitter. This paper presents a platform to support smoking cessation composed by a mobile application to be used by users trying to quit smoking, and a web application to be used by researchers to analyze data regarding the app users' tobacco cessation process. The app follows the transtheoretical model by Prochaska and DiClemente, allowing users to define and be aware of their wishes (what motivates them to stop smoking), barriers that hinder the quitting process and implementation plans and strategies to help them overcoming obstacles. [ABSTRACT FROM AUTHOR]

The mobile phones Operating System like android and IOS finds wide use in smartphones and tablets and is thus suitable for home controllers. This project presents a smart home controller that uses WIFI in smartphone devices to control the operation of an automated security door system. The system idea is to use an Android or IOS app that sends commands to Electronic Relay-connected to home WIFI or internet- to control the opening of the door connected to an electric intercom. The Relay module is installed on the Intercom phone and the intercom phone connected to an electric lock which is installed on the door, the Relay Module receives the commands from the smartphone through WIFI, and passes these commands to the microcontroller that controls the opening of the door. The system can be used in various situations where access to an enclosure, doors, or any other thing needs to be open electronically. With the help of smartphone apps that will illustrate later, we can use smartphones to open the door using a smartphone voice assistant. [ABSTRACT FROM AUTHOR]

Smartphones are one of the most affordable and familiar devices available to people that are used for many scientific applications. Thus, implementing a dedicated mobile app for earthquake early warning (EEW) systems is one of the best options to save money and time to achieve dissemination of earthquake warnings to the public at large. This paper describes the development of a Warning Dissemination System comprising field sirens and mobile apps and presents details of developing a smartphone app for Android and iOS operating systems. The app is designed for the EEW system currently operational in the Northwest Himalayan State of Uttarakhand in India. The app named "Uttarakhand Bhookamp Alert" is freely available on the Google Play Store and Apple App Store and has already been downloaded more than 10,000 times. This app uses Firebase Cloud Messaging (FCM) service for sending earthquake early warnings to the users. The user's basic information and FCM token are saved at the warning server in a database during the user registration process. The information will be shared with the disaster response authorities after a damaging earthquake to rescue affected users requiring help. This app also provides online earthquake safety recommendations and guidance, including how to prepare yourself, find a safe hiding place, and do's and don'ts during an earthquake. [ABSTRACT FROM AUTHOR]

The multi-target path planning problem is a universal problem to mobile robots and mobile manipulators. The two movement modes of forward movement and rotation are universally implemented in integrated, commercially accessible mobile platforms used in logistics robots, construction robots, etc. Localization error in multi-target path tracking is one of the crucial measures in mobile robot applications. In this article, a precision-driven multi-target path planning is first proposed. According to the path's odometry error evaluation function, the precision-optimized path can be discovered. Then, a three-parameter odometry error model is proposed based on the dual movement mode. The error model describes localization errors in terms of the theoretical motion command values issued to the mobile robot, the forward moving distances, and the rotation angles. It appears that the three error parameters follow the normal distribution. The error model is finally validated using a mobile robot prototype. The error parameters can be identified by analyzing the actual moving trajectory of arbitrary movements. The experimental localization error is compared to the simulated localization error in order to validate the proposed error model and the precision-driven path planning method. The OptiTrack motion capture device was used to capture the prototype mobile robot's pose and position data. [ABSTRACT FROM AUTHOR]

States and the social and computer sciences face new realities that question traditional communication strategies with citizens. The COVID-19 pandemic accelerated this process in Argentina. A qualitative analysis of networks, media, and personal contacts in two subnational states (the Autonomous City of Buenos and the Province of Buenos Aires) found that the social capital of each person made visible the speed of access to inoculation. The wide dissemination of new technologies (online platforms and mobile phone applications) masked the unequal conditions of access of the population to these tools. Faced with this challenge, the tools implemented during the dissemination and vaccination campaign against COVID-19 deepened the problem instead of becoming a solution. [ABSTRACT FROM AUTHOR]

This article presents a method to develop an application based on Augmented Reality technology in a Unity development environment. The article presents two test scenarios that give an insight into the possibilities of augmented reality applications. The first scenario is a presentation of a simple game based on a graphic marker and its generated content in the form of a maze. By physically moving the marker in front of the camera, the maze and the ball inside is moved. The second scenario includes a simulation environment of a collaborative robot in the form of an augmented reality application that offers the possibility of planning the robot's trajectories. The possibilities of this technology are endless and cover a large segment of application development from educational to industrial applications. Marker based Augmented Reality using predefined visual markers embedded within the system, physical world objects are detected for superimposition of virtual elements. The test application was designed using a combination of Vuforia, Unity 3D platforms, and the mobile phone used was an Android based Xiaomi Redmi 10 pro phone. This article focuses on the implementation challenges faced whilst designing Augmented Reality applications on mobile platforms. [ABSTRACT FROM AUTHOR]

The continuous development of mobile platforms provides the opportunity to integrate and improve existing applications or to introduce new features to make life better. The purpose of this paper is to investigate the use of mobile platforms in civilization (museums) and present the design and the implementation of a mobile application that satisfies various design criteria. Through this application the visitor can navigate and tour virtually in the museum through a smartphone. In addition, features have been included in the application that make it easier for a user to visit the museum. First, we present the operating parameters and the aesthetic presentation of the application, which delimits usability and ease of access through the interfaces of a smartphone. Then we highlight the cloud features that were exploited in the application. Then, an extended evaluation of the mobile application is presented, that proves its high applicability and user acceptability. [ABSTRACT FROM AUTHOR]

Our project aims to develop an engaging mobile application that serves as a ubiquitous platform for users to visualize available food resources in their local region and, as a result, acquire access to food, thereby addressing two key issues: hunger and food waste. We noticed the potential for mobile technology to help with food waste management and developed an Android app that allows businesses to donate and share leftovers with people in need. By reducing hunger and food waste, our activity has a significant influence on both healthcare and the environment. Apart from this, the application also provides analytics to the restaurants to reduce food wastage at their side using Machine Learning. Ensemble models like XGBoost and Random Forest are considered which will be beneficial in regularization for avoiding overfitting and also for inbuilt cross validation. [ABSTRACT FROM AUTHOR]

Purpose: In this work, the authors present a review of mobile applications for event management available for smartphones with the iOS operating system. The objective of the work is to carry out an analysis of these applications, offering an educational point of view and filling a gap in the doctrine, as the authors are dealing with an academically still new subject. Design/methodology/approach: First, the authors conducted a literature review regarding the impact of technology on event organizations. Second, the authors analysed mobile applications for event management, the results of which are presented in this paper. Particularly, its main characteristics, strengths and weaknesses are analysed. Finally, the authors present the design of an activity with one of the beforehand analysed applications, in order to see its contribution to event management education. Findings: It has been possible to improve learning and acquire specific skills related to the subject of study. Specified event management applications offer a wide range of advantages to facilitate the planning and management of events. Practical implications: The study provides practical implications for managers in the hospitality industry. Originality/value: This study provides a deeper insight into the functionalities and usefulness of event management mobile applications. [ABSTRACT FROM AUTHOR]

We propose an innovative reflective displayable technology named LiqxtalTM Graph, designed to present digital content on the exterior while ensuring a clear see‐through vision for the wearer. Employing TFT liquid crystal display (TFT‐LCD) architecture, this technology locally manipulates the polarization state and reflectance of incident light through liquid crystal and interfaces. By seamlessly integrating with wireless control systems and mobile app platforms, this technology enables the glasses to convey digital information between users. Applications encompass real‐time signage, interactive gaming, and social media engagement. [ABSTRACT FROM AUTHOR]

Purpose: The aim of the work is to present the concept of the mobile application strategy choice in the process of architectural design. Design/methodology/approach: The best solution to the problem would be to develop and design application and implement on mobile platform. Findings: This system is the most popular system for mobile devices in Poland. Research limitations/implications: The work focuses on presenting the concept of an application that facilitates establishing contacts between representatives of architecture industries. Practical implications: This is an important issue for future users as it allows for product improvement. Originality/value: The application can be a preliminary step to developing a conflict management strategy. [ABSTRACT FROM AUTHOR]

Teaching and learning to spell forms the basis for mastering English Language. The emerging mobile learning trends in the current 21st century education is useful in teaching and learning spelling. However, there were limited reviews about them. As such, a systematic review was conducted to provide an up-to-date synthesis on the mobile learning trends in supporting the mastery of spelling from year 2012 to year 2022. This review adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses which is also known as the PRISMA guideline. Three databases were involved: Web of Science, Scopus and Educational Resources Information Centre. After a rigorous screening process, a total of 19 articles fitted its objectives. Firstly, significant findings from the studies portrayed the use of four platforms in mobile learning trends in supporting the mastery of spelling namely mobile apps, spellchecker apps, word prediction apps and text messaging apps. Secondly, the primary level of education was more dominant in the related studies than the secondary and tertiary levels. Thirdly, it emphasized more on the students with a lower prevalence on teachers and both teachers and students as the respondents in the associated studies. This paper contributes to systematically reviewing 19 eligible related studies through a step-by-step protocol of identification, screening, eligibility and included as in the PRISMA guideline to establish quality review. It benefits both the English Language teachers and students in utilizing various mobile learning platforms to support the mastery of spelling at all levels of education. It aspires to foreground the paucity in this topic in which more substantial studies are required to address the research gaps. The goal is to impose effective and practical strategies to advance mobile learning trends in supporting the mastery of spelling. [ABSTRACT FROM AUTHOR]