TL;DR: In a recent special issue as discussed by the authors, the promise and unexamined expectations of mobile learning, the theories and ideas developing around it, and the devices that afford it were investigated.
TL;DR: This review discusses recent developments in the field of highly integrated mobile and wearable point-of-care testing (POCT) systems and highlights aspects of sample handling platforms, recognition elements and sensing methods, and new materials for signal transducers and powering devices for integration into mobile or wearable POCT systems.
Abstract: The rapid growth of research in the areas of chemical and biochemical sensors, lab-on-a-chip, mobile technology, and wearable electronics offers an unprecedented opportunity in the development of mobile and wearable point-of-care testing (POCT) systems for self-testing. Successful implementation of such POCT technologies leads to minimal user intervention during operation to reduce user errors; user-friendly, easy-to-use and simple detection platforms; high diagnostic sensitivity and specificity; immediate clinical assessment; and low manufacturing and consumables costs. In this review, we discuss recent developments in the field of highly integrated mobile and wearable POCT systems. In particular, aspects of sample handling platforms, recognition elements and sensing methods, and new materials for signal transducers and powering devices for integration into mobile or wearable POCT systems will be highlighted. We also summarize current challenges and future prospects for providing personal healthcare with sample-in result-out mobile and wearable POCT.
TL;DR: A review on the ML-based computation offloading mechanisms in the MEC environment in the form of a classical taxonomy to identify the contemporary mechanisms on this crucial topic and to offer open issues as well.
TL;DR: The COVID-19 Symptom Tracker mobile application offers critical proof-of-concept for the repurposing of existing approaches to enable rapidly scalable epidemiologic data collection and analysis which is critical for a data-driven response to this public health challenge.
Abstract: The rapid pace of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic (COVID-19) presents challenges to the robust collection of population-scale data to address this global health crisis. We established the COronavirus Pandemic Epidemiology (COPE) consortium to bring together scientists with expertise in big data research and epidemiology to develop a COVID-19 Symptom Tracker mobile application that we launched in the UK on March 24, 2020 and the US on March 29, 2020 garnering more than 2.25 million users to date. This mobile application offers data on risk factors, herald symptoms, clinical outcomes, and geographical hot spots. This initiative offers critical proof-of-concept for the repurposing of existing approaches to enable rapidly scalable epidemiologic data collection and analysis which is critical for a data-driven response to this public health challenge.
TL;DR: This paper identifies current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains, and provides meaningful comparisons for each of these areas to draw conclusions on current research gaps.
Abstract: Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (IIoT) scenarios. The aim of this paper is to identify current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains. The methodology of the paper follows the steps of surveying state-of-the art, comparing results to identify further challenges, and drawing conclusions as lessons learned for each research domain. These areas include IIoT applications and their requirements; mobile edge cloud; back-end performance tuning; network function virtualization; and security, blockchains for IIoT, Artificial Intelligence support for 5G, and private campus networks. Beside surveying the current challenges and solutions, the paper aims to provide meaningful comparisons for each of these areas (in relation to 5G-enabled IIoT) to draw conclusions on current research gaps.
TL;DR: Self-efficacy theory, critical mass theory, and flow theory were extended to explain 61% of the variance in behavioural intention to adopt mobile wallet and suggested there were interrelationships between the constructs employed.
TL;DR: The outcomes of this review showed improvements in self-management behavior and medication adherence, and the most successful mHealth intervention combined the feature of tailored messages, interactive communication, and multifaceted functions.
Abstract: Background
Effective treatment of hypertension requires careful self-management. With the ongoing development of mobile technologies and the scarcity of health care resources, mobile health (mHealth)–based self-management has become a useful treatment for hypertension, and its effectiveness has been assessed in many trials. However, there is a paucity of comprehensive summaries of the studies using both qualitative and quantitative methods.
TL;DR: The results of this study provide valuable insights to payment companies and smart wearable device manufacturers to come up with plans and marketing strategies to convince the potential adopters to adopt wearable payment, guiding marketers to design a more successful wearable payment solution.
Abstract: The research paper purports to assess the antecedents that affect users’ behavioral intention to use wearable payment. Specifically, this empirical research examines the roles of perceived aesthetics, technology readiness, mobile usefulness, and mobile ease of use on behavioral intention. Differing from past mobile payment studies, a newly proposed methodology that involves a dual-stage analysis and an emerging Artificial Intelligence analysis named deep learning was performed on 307 usable responses. Findings revealed that all relationships were supported except for the linkage between mobile ease of use and behavioral intention. The results of this study provide valuable insights to payment companies and smart wearable device manufacturers to come up with plans and marketing strategies to convince the potential adopters to adopt wearable payment, guiding marketers to design a more successful wearable payment solution. Theoretically, the newly integrated theoretical model that incorporates Mobile Technology Acceptance Model, Fashion Theory, and Technology Readiness Theory could help ascertain the relative significance of certain determinants, providing a clearer insight on the acceptance of wearable payment among consumers.
TL;DR: In this article, a survey of mobile money and its contribution in promoting financial inclusion and development, with a focus on sub-Saharan Africa, is presented, where taxonomic, descriptive and analytical methods are used to evaluate the state of knowledge in the area.
Abstract: We survey literature on mobile money and its contribution in promoting financial inclusion and
development, with a focus on sub-Saharan Africa. We use taxonomic, descriptive and analytical
methods to evaluate the state of knowledge in the area. We analyse how mobile technology in
general may contribute to economic development and financial inclusion in theory and practise.
We explain the mechanics of mobile money using Kenya’s M-Pesa as a canonical example; and
consider whether the literature has fully established the potential economic impact of mobile
money especially its contribution to financial inclusion. We also consider market structure,
pricing and regulatory implications of mobile money. We conclude by highlighting issues that
require further investigation: the take-up of mobile money; mobile money and financial
inclusion; substitutability between mobile money and conventional finance; and regulatory
structures for institutions providing mobile money services.
TL;DR: This discussion is aimed at providing, in a comprehensive manner, how 5G technology will impact on smart cities, intelligent transportation systems –including autonomous or semi-autonomous vehicles– and vehicular communications, its technical, economic and legal challenges, in the following years.
Abstract: The new mobile technology, 5G, challenges the current scenario in communications by overcoming the flaws of currently working 4G. Such new technology offers to smart cities and intelligent transportation systems a new way to become fully integrated by allowing massive simultaneous connections and ubiquity of network, even under high mobility situations or dense populated areas. In this way, 5G will become a key enabler for real Internet of Things and its corresponding Internet of Vehicles. This discussion is aimed at providing, in a comprehensive manner, how 5G technology will impact on smart cities, intelligent transportation systems –including autonomous or semi-autonomous vehicles– and vehicular communications, its technical, economic and legal challenges, in the following years.
TL;DR: The most important predictors for students’ Behavioral Intention to use mobile phones in their studies were Habit (the strongest one), Performance Expectancy and Hedonic Motivation, and the most important predictor for actual mobile phone use was behavioral Intention.
Abstract: Mobile phone is increasingly widespread among University students, while different factors can affect students’ behavior towards the use and acceptance of mobile technology. One of the methods to measure these factors is the Unified Theory of Acceptance and Use of Technology (UTAUT). The purpose of this study was to evaluate the Behavioral Intention of University students for acceptance and use of mobile phone in their studies. The study employed the extended UTAUT2 model (Venkatesh et al. 2012) which was adapted to the Greek context. The participants were 540 students of different Universities across Greece, who completed an online questionnaire. The most important predictors for students’ Behavioral Intention to use mobile phones in their studies were Habit (the strongest one), Performance Expectancy and Hedonic Motivation. The most important predictor for actual mobile phone use was Behavioral Intention. Gender, age and experience did not have any moderating effect. The findings of this study enhance the evidence on mobile phone acceptance among University students, and have implications for students’ training.
TL;DR: In this article, information and services delivered through mobile phones, "m-services", have transformative potential to provide rural African farmers with important agro-meteorological information, however, a gre...
Abstract: Information and services delivered through mobile phones, ‘m-services', have transformative potential to provide rural African farmers with important agro-meteorological information. However, a gre...
TL;DR: In this paper, the authors developed a conceptual model to analyze the intention to use mobile payment services in the emerging market, where data was collected in India, one of the biggest emerging market through a survey.
TL;DR: The most significant factors affecting academics’ behavioural intention and behaviours of use were their performance expectancy, facilitating conditions, hedonic motivation and habit, and Behavioural intention affected how the faculty staff used their mobile technologies.
Abstract: With the proliferation of technology and the Internet, the way education is delivered has undergone a rapid change in different educational settings. Whilst a large amount of research has investigated the implementation of mobile technologies in education, there is still a paucity of research from a teaching perspective across disciplines within higher education. For this reason, this study investigated the acceptance, preparedness and adoption of mobile technologies by academic faculties within higher education, using the context of China. Underpinned by the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) Model, a large-scale quantitative survey investigated the factors affecting academics’ behavioural intentions and use for mobile technologies, and variations between different demographic groups. Findings suggested that the most significant factors affecting academics’ behavioural intention and behaviours of use were their performance expectancy, facilitating conditions, hedonic motivation and habit. Behavioural intention also affected how the faculty staff used their mobile technologies. Moreover, gender, age, teaching experience and discipline were found to be moderating factors. This research provides further verification of the effectiveness of the UTAUT2 Model in the higher education context and the field of new technologies implementation. Findings from this study provide beneficial insights for universities, faculties, and academics in policymaking, faculty management, professional development and lecturer instruction concerning mobile technologies.
TL;DR: A theoretical overview on the most important design principles and device features needed to fulfill the elders’ needs and can serve as a starting point for researchers and practitioners in their endeavor to design more suitable technology for older people.
TL;DR: Using mobile technology and experience sampling in junior high school, real-time motivation and engagement were explored at four levels: between lessons (up to 2 lessons per day; Level 1), between...
Abstract: Using mobile technology and experience sampling in junior high school, real-time motivation and engagement were explored at four-levels: between lessons (up to 2 lessons per day; Level 1), between ...
TL;DR: In this article, the authors investigate the factors influencing the intention to use mobile payment and develop and test a refined technology acceptance model, showing that the intention of using mobile payment services is positively affected by usefulness, perceived compatibility, perceived personal innovativeness, and perceived social influence, but is negatively affected by perceived risk.
TL;DR: The updated IS success model is extended by differentiating between online and offline service quality, as well as by introducing the notion of perceived value, to provide guidance to researchers and practitioners regarding the role of service quality and perceived value in measuring m-government system success.
TL;DR: This comprehensive research review will provide the challenge of protecting the privacy of user’s location in MCC; analyze several related works regarding the issue; and suggests possible solutions related to the issue, in light of few shortcomings which still needs attention.
Abstract: One of the recent trends of networking and mobile technology is mobile cloud computing (MCC) that provides rich computational, storage resources and services in clouds to mobile users. MCC applications provide a variety of services to users and one of them is the location-based services (LBS) applications that are widely spread. By using mobile applications and LBS, mobile devices act as a thin client where the abundant data locations are collected and stored at the mobile cloud to provide corresponding services. Privacy of the user’s location has been a renewed research interest and extensively studied in recent years. However, privacy is one of the most important challenges in MCC because the user’s location on mobile devices is offloaded from mobile devices to cloud providers which can be utilized by third parties. Since protecting the privacy of the user is the key to maintain the trust on the mobile environment. LBS faces issues in protecting privacy such as, the privacy of user’s current location, which may contain private information. In case, if the user’s current location is compromised through unauthorized access, it possibly results in severe consequences. Therefore, protecting location privacy of the user while achieving precise location is still a challenge in MCC. This comprehensive research review will provide the challenge of protecting the privacy of user’s location in MCC; analyze several related works regarding the issue. In addition, it suggests possible solutions related to the issue, in lighted few shortcomings which still needs attention with few related case studies.
TL;DR: The current and future potential of mHealth is examined for specific areas of allergology, including allergic rhinitis, aerobiology, allergen immunotherapy, asthma, dermatological diseases, food allergies, anaphylaxis, insect venom, and drug allergy.
Abstract: Mobile health (mHealth) uses mobile communication devices such as smartphones and tablet computers to support and improve health-related services, data and information flow, patient self-management, surveillance, and disease management from the moment of first diagnosis to an optimized treatment. The European Academy of Allergy and Clinical Immunology created a task force to assess the state of the art and future potential of mHealth in allergology. The task force endorsed the "Be He@lthy, Be Mobile" WHO initiative and debated the quality, usability, efficiency, advantages, limitations, and risks of mobile solutions for allergic diseases. The results are summarized in this position paper, analyzing also the regulatory background with regard to the "General Data Protection Regulation" and Medical Directives of the European Community. The task force assessed the design, user engagement, content, potential of inducing behavioral change, credibility/accountability, and privacy policies of mHealth products. The perspectives of healthcare professionals and allergic patients are discussed, underlining the need of thorough investigation for an effective design of mHealth technologies as auxiliary tools to improve quality of care. Within the context of precision medicine, these could facilitate the change in perspective from clinician- to patient-centered care. The current and future potential of mHealth is then examined for specific areas of allergology, including allergic rhinitis, aerobiology, allergen immunotherapy, asthma, dermatological diseases, food allergies, anaphylaxis, insect venom, and drug allergy. The impact of mobile technologies and associated big data sets are outlined. Facts and recommendations for future mHealth initiatives within EAACI are listed.
TL;DR: According to the results appropriate social behaviors in children with autism could be integrated for a long time, and the effectiveness of digital social stories on children with Autism social skills acquisition was evaluated.
Abstract: The emerging and widespread use of technology to support students with autism is evident by the growing number of studies investigating the use of technology-based interventions, including mobile technologies. Most of the recent research concerning the use of mobile apps has been focused on social stories effectiveness. The aim of this study was to evaluate the effectiveness of digital social stories on children with autism social skills acquisition. Three students with high functional autism were watching for one year social scenarios through an Android tablet s olving social interaction problems. According to the results appropriate social behaviors in children with autism could be integrated for a long time.
TL;DR: In this paper, the authors investigated the impacts of different components of mobile dining on customers' perceived value, which leads to actual purchase intentions, and examined the moderating effect of the restaurant type.
Abstract: The latest mobile technology may shape consumers' motivations by allowing them to order a variety of foods using smartphone apps. Following the stimulus–organism–response (SOR) framework and using a mixed methods approach, this study investigates the impacts of different components of mobile dining on customers' perceived value, which leads to actual purchase intentions. Furthermore, this study examines the moderating effect of the restaurant type.,Data were collected via an online questionnaire survey from 351 individuals in the city of Jakarta (Indonesia) who actually used mobile apps to order food online. Data analysis was carried out using structural equation modeling.,The findings reveal that source credibility, review valence, the navigation system, food quality and service quality significantly impact customers' perceived value. Customers' perceived value, in turn, positively affects their purchase intentions. The findings also reveal that the impacts of review valence, the navigation system, food quality and service quality on customers' perceived value depend on the different levels of restaurants.,This study is among the first in the mobile commerce research that studies the impacts of mobile electronic word-of-mouth (eWOM), system quality and overall restaurant image on dining choices by considering actual mobile shoppers. Second, this study extends the SOR model to examine the impact of the mobile environment-based characteristics on the perceived value that leads to purchase intentions. Third, the current study examines whether the relationships that are discussed early on differ based on the restaurant type. The findings of this study could help practitioners achieve a deeper understanding of diners' behaviors due to the perceived benefits of mobile dining.
TL;DR: In this article, the authors investigated Greek secondary school teachers' perceptions of mobile phone and tablet use in classrooms, focusing on their perceived benefits, constraints and their concerns, and found that the primary perceived benefits were associated with students' involvement/motivation and active participation, the interactive-enjoyable lesson, the easy access to information and students’ familiarity with technology.
Abstract: The use of mobile devices in secondary education schools is an emerging issue; however, empirical evidence regarding secondary education teachers’ perceptions on mobile technology and mobile learning is still limited. This study investigated Greek secondary school teachers’ perceptions of mobile phone and tablet use in classrooms, focusing on their perceived benefits, constraints and their concerns. A questionnaire with open-ended questions was administered to 64 teachers of different specializations. The primary perceived benefits were associated with students’ involvement/motivation and active participation, the interactive-enjoyable lesson, the easy access to information and students’ familiarity with technology. Teachers’ perceived barriers were mainly related to the lack of equipment and the current legislation (regarding mobile technology usage in school settings). Key concerns regarded students' abusive behavior and the difficulty in controlling them, the noise-disruption in class and students’ distraction. Implications and recommendations for teachers, students, school policy and educational policy makers are discussed.
TL;DR: In this paper, the role of mobile technology adoption on inclusive growth in 15 West African countries with a view to ascertaining if the positive role played by mobile technology in mobile phone adoption is investigated.
Abstract: This paper empirically investigates the role of mobile technology adoption on inclusive growth in 15 West African countries with a view to ascertaining if the positive role of mobile technology ado...
TL;DR: This study is focusing on the area of mobile learning in the year 2009 to 2018 about the areas and working done by the researchers about the ways in which smartphones and digital devices are penetration is globally increased.
Abstract: The increasing growth of mobile technology in our society has become a reality. Outdoor learning is one of the very revolutionary developments in modern ages without huge infrastructure and resources. This study is focusing on the area of mobile learning in the year 2009 to 2018 about the areas and working done by the researchers. Mobile learning is relatively a new platform of learning through the mobile technologies, and penetration of smartphones and digital devices is globally increased in a short interval of time. The Scopus database is used to find the literature with the keyword used in search button mobile learning. The PRISMA diagram 2009 shows that the subjects of Social Sciences area to include the literature articles for the review. The final 54 articles with more than 20 citations for the review are selected to analyze the literature to find the gap and direction of mobile learning. Literature is divided in different classifications to find the results.
TL;DR: The research study shows some important results towards the integration of mobile technology into teaching include: student positive perception, facilitates student concentrate, flexible access to m-services for learning materials, and increases students' skills in using mobile technology for e-learning.
Abstract: Recently Mobile technology is considered an effective way to improve students' skills such as positive thinking, collaborative, communication, as well as it is considered the main part of major innovation in many e-learning research areas. As a result of the 21 st. century requirements, skills were developed to address the rising needs in higher education which causes a shifting paradigm from the traditional methods of teaching to M-learning. In this research, we discuss the effect of using Mobile learning techniques to improve learning outcomes in Higher Education. We have implemented a web-based survey through two questionnaires. The questionnaires were distributed among 200 students in the second and third levels in the computer science department at both Community College and College of Arts and Science. This research explores a study on e-learning using mobile technology to identify students’ perceptions in the acceptance of mobile techniques and recognize the quality of mobile services for academic and social purposes to improve teaching strategy and learning performance in higher educational organizations. The outcomes of this research would support the evolution of M-learning at the university-level and cause shifting the traditional learning methods by merging M-learning methodologies as a learning management system that provides mobile learning services to students and teachers any time and from any location. The research study shows some important results towards the integration of mobile technology into teaching include: student positive perception, facilitates student concentrate, flexible access to m-services for learning materials, and increases students' skills in using mobile technology for e-learning.
TL;DR: Competencies for mobile technologies and/or an approach to define them are sought and research is needed on how to customize implementation and evaluation of mHealth competencies and to ensure skill development is linked to the quality of care.
Abstract: Background: To ensure quality care, clinicians need skills, knowledge, and attitudes related to technology that can be measured.
Objective: This paper sought out competencies for mobile technologies and/or an approach to define them.
Methods: A scoping review was conducted to answer the following research question, “What skills are needed for clinicians and trainees to provide quality care via mHealth, have they been published, and how can they be made measurable and reproducible to teach and assess them?” The review was conducted in accordance with the 6-stage scoping review process starting with a keyword search in PubMed/Medical Literature Analysis and Retrieval System Online, APA PsycNET, Cochrane, EMBASE, PsycINFO, Web of Science, and Scopus. The literature search focused on keywords in 4 concept areas: (1) competencies, (2) mobile technologies, (3) telemedicine mode, and (4) health. Moreover, 2 authors independently, in parallel, screened the search results for potentially relevant studies based on titles and abstracts. The authors reviewed the full-text articles for final inclusion based on inclusion/exclusion criteria. Inclusion criteria were keywords used from concept area 1 (competencies) and 2 (mobile technologies) and either 3 (telemedicine mode) or 4 (health). Exclusion criteria included, but were not limited to, keywords used from a concept area in isolation, discussion of skills abstractly, outline or listing of what clinicians need without detail, and listing immeasurable behaviors.
Results: From a total of 1232 results, the authors found 78 papers eligible for a full-text review and found 14 papers directly relevant to the 4 key concepts. Although few studies specifically discussed skills, the majority were clinical studies, and the literature included no lists of measurable behaviors or competency sets for mobile technology. Therefore, a framework for mobile technology competencies was built according to the review, expert consensus, and recommendations of the Institute of Medicine’s Health Professions Education Summit and Accreditation Council of Graduate Medical Education framework. This framework borrows from existing competency framework domains in telepsychiatry and social media (patient care, medical knowledge, practice-based learning and improvement, systems-based practice, professionalism, and interpersonal skills and communication) and added domains of mHealth clinical decision support, device/technology assessment/selection, and information flow management across an electronic health record platform. mHealth Asynchronous components require additional traditional learning, teaching, supervisory and evaluation practices. Interactive curricula with case-, problem-, and system-based teaching may help faculty focus on decision making and shape skills and attitudes to complement clinical exposure.
Conclusions: Research is needed on how to customize implementation and evaluation of mHealth competencies and to ensure skill development is linked to the quality of care. This will require the management of organizational change with technology and the creation of a positive electronic culture in a complex policy and regulatory environment.
TL;DR: Most patients with serious mental illness owned a mobile phone; a majority owned a smartphone; developers should consider tailoring mobile interventions for psychosis and cognitive deficits.
Abstract: Objective:Mobile technologies, such as smartphones, can improve health services by delivering assessments and interventions that reach people in their daily lives. There is, however, disagreement r...
TL;DR: More objective ways of measuring and monitoring mood within this population of children and youth are reviewed, finding certain mobile technologies have demonstrated feasibility for tracking depression that could inform models for predicting relapse.
TL;DR: In this article, the authors explore the characteristics of mobile social media marketing adoption in the context of digital natives via an extended Mobile Technology Acceptance Model (MTAM) for mobile useful networks.
Abstract: This paper explores the characteristics of mobile social media marketing adoption in the context of digital natives via an extended Mobile Technology Acceptance Model. Specifically, mobile usefulne...