912 resultados para Mobile technology


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The access to mobile technologies is growing at an exponential rate in developed and developing countries, with some developing countries surpassing developed countries in terms of device ownership. It is both the demand for, and high usage of mobile technologies that have driven new and emerging pedagogical practices in higher education. These technologies have also exponentially increased access to information in a knowledge economy. While differences are often drawn between developing and developed countries in terms of the access and use of information and communication technologies (ICT), this paper will report on a study detailing how higher education students use mobile technologies and social media in their studies and in their personal lives. It will contrast the similarities in how students from an Australian and Vietnamese university access and use mobile and social media technologies while also highlighting ways in which these technologies can be embraced by academics to connect and engage with students.

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A novel mobile social networking tool uses peer support to facilitate responsible drinking among young women. Focus group reports indicate that the tool’s design is easy to use and its functionalities would help peers reduce risk during drinking sessions.

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In this paper we examine the effect of technology on economic growth in Zimbabwe over the period 1975–2014 whilst accounting for structural breaks. We use the extended Cobb–Douglas type Solow (Q J Econ 70(1):65–94, 1956) framework and the ARDL bounds procedure to examine cointegration and short run and long run effects. Using unit root tests, we note that structural changes in Zimbabwe are generally marked by the period 1982 onwards. We find that mobile technology has a positive short-run (0.09 %) and long-run (0.08 %) impact on the output per capita. The structural changes post-1982 periods show positive impact in the short-run (0.06) and the long-run (0.09), whereas the coefficient of trend in the short-run (−0.03) and the long-run (−0.04) is negative. The Granger non-causality test shows a unidirectional causality from capital stock (investment) per capita to output per capita and a bi-directional causality between mobile cellular technology and output per capita. The plausible reasons for estimated magnitude effects and the direction of causality are explained for policy deliberation.

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Mobility of wheeled or legged machines can be significantly increased if they are able to move from a solid surface into a three-dimensional space. Although that may be achieved by addition of flying mechanisms, the payload fraction will be the limiting factor in such hybrid mobile machines for many applications. Inspired by spiders producing draglines to assist locomotion, the paper proposes an alternative mobile technology where a robot achieves locomotion from a solid surface into a free space. The technology resembles the dragline production pathway in spiders to a technically feasible degree and enables robots to move with thermoplastic spinning of draglines. As an implementation, a mobile robot has been prototyped with thermoplastic adhesives as source material of the draglines. Experimental results show that a dragline diameter range of 1.17-5.27 mm was achievable by the 185 g mobile robot in descending locomotion from the solid surface of a hanging structure with a power consumption of 4.8 W and an average speed of 5.13 cm min(-1). With an open-loop controller consisting of sequences of discrete events, the robot has demonstrated repeatable dragline formation with a relative deviation within -4% and a length close to the metre scale.

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BACKGROUND/AIMS: The obesity epidemic has spread to young adults, and obesity is a significant risk factor for cardiovascular disease. The prominence and increasing functionality of mobile phones may provide an opportunity to deliver longitudinal and scalable weight management interventions in young adults. The aim of this article is to describe the design and development of the intervention tested in the Cell Phone Intervention for You study and to highlight the importance of adaptive intervention design that made it possible. The Cell Phone Intervention for You study was a National Heart, Lung, and Blood Institute-sponsored, controlled, 24-month randomized clinical trial comparing two active interventions to a usual-care control group. Participants were 365 overweight or obese (body mass index≥25 kg/m2) young adults. METHODS: Both active interventions were designed based on social cognitive theory and incorporated techniques for behavioral self-management and motivational enhancement. Initial intervention development occurred during a 1-year formative phase utilizing focus groups and iterative, participatory design. During the intervention testing, adaptive intervention design, where an intervention is updated or extended throughout a trial while assuring the delivery of exactly the same intervention to each cohort, was employed. The adaptive intervention design strategy distributed technical work and allowed introduction of novel components in phases intended to help promote and sustain participant engagement. Adaptive intervention design was made possible by exploiting the mobile phone's remote data capabilities so that adoption of particular application components could be continuously monitored and components subsequently added or updated remotely. RESULTS: The cell phone intervention was delivered almost entirely via cell phone and was always-present, proactive, and interactive-providing passive and active reminders, frequent opportunities for knowledge dissemination, and multiple tools for self-tracking and receiving tailored feedback. The intervention changed over 2 years to promote and sustain engagement. The personal coaching intervention, alternatively, was primarily personal coaching with trained coaches based on a proven intervention, enhanced with a mobile application, but where all interactions with the technology were participant-initiated. CONCLUSION: The complexity and length of the technology-based randomized clinical trial created challenges in engagement and technology adaptation, which were generally discovered using novel remote monitoring technology and addressed using the adaptive intervention design. Investigators should plan to develop tools and procedures that explicitly support continuous remote monitoring of interventions to support adaptive intervention design in long-term, technology-based studies, as well as developing the interventions themselves.

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It has been suggested that few students graduate with the skills required for many ecological careers, as field-based learning is said to be in decline in academic institutions. Here, we asked if mobile technology could improve field-based learning, using ability to identify birds as the study metric. We divided a class of ninety-one undergraduate students into two groups for field-based sessions where they were taught bird identification skills. The first group has access to a traditional identification book and the second group were provided with an identification app. We found no difference between the groups in the ability of students to identify birds after three field sessions. Furthermore, we found that students using the traditional book were significantly more likely to identify novel species. Therefore, we find no evidence that mobile technology improved students’ ability to retain what they experienced in the field; indeed, there is evidence that traditional field guides were more useful to students as they attempted to identify new species. Nevertheless, students felt positively about using their own smartphone devices for learning, highlighting that while apps did not lead to an improvement in bird identification ability, they gave greater accessibility to relevant information outside allocated teaching times.

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Mobile assisted language learning (MALL) is a subarea of the growing field of mobile learning (mLearning) research which increasingly attracts the attention of scholars. This study provides a systematic review of MALL research within the specific area of second language acquisition during the period 2007 - 2012 in terms of research approaches, methods, theories and models, as well as results in the form of linguistic knowledge and skills. The findings show that studies of mobile technology use in different aspects of language learning support the hypothesis that mobile technology can enhance learners’ second language acquisition. However, most of the reviewed studies are experimental, small-scale, and conducted within a short period of time. There is also a lack of cumulative research; most theories and concepts are used only in one or a few papers. This raises the issue of the reliability of findings over time, across changing technologies, and in terms of scalability. In terms of gained linguistic knowledge and skills, attention is primarily on learners’ vocabulary acquisition, listening and speaking skills, and language acquisition in more general terms.

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Case studies of the organizational implementation of traditional business computing have often emphasized the importance of context in research design and data analysis. The emergence of computing phenomena that pervade different contexts within and even beyond the organizational boundary suggests the need to disaggregate the notion of context to allow for finer levels of contextual analysis. Indeed we demonstrate that a failure to consider interdependent levels of context in organizational case studies of computing technologies that even approach ubiquity runs the risk of partial and even incorrect conclusions being drawn. We illustrate this argument by means of two explanatory case studies of intranet and mobile technology implementation in organizations. Based on the extant literature on context in case study design and examples drawn from the cases, we propose a range of interconnected and interrelated contexts to consider in the research design of explanatory cases of ubiquitous technology implementation in organizations.

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Mobile information technologies (IT) are transforming individual work practices and organizations. These devices are extending not only the boundaries of the ‘office’ in space and time, but also the social context within which use occurs. In this paper, we investigate how extra-organizational influences can impact user satisfaction with mobile systems. The findings from our longitudinal study highlight the interrelatedness of different use contexts and their importance in perceptions of user satisfaction. The data indicate that varying social contexts of individual use (individual as employee, as professional, as private user, and as member of society) result in different social influences that affect the individual’s perceptions of user satisfaction with the mobile technology. While existing theories explain user satisfaction with IT within the organizational context, our findings suggest that future studies of mobile IT in organizations should accommodate such extra-organizational contextual influences.

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Powerpoint presentation presenting an overview of the ebook readers trial based at Deakin University.

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Mobile phone sensing is an emerging area of interest for researchers as smart phones are becoming the core communication device in people's everyday lives. Sensor enabled mobile phones or smart phones are hovering to be at the center of a next revolution in social networks, green applications, global environmental monitoring, personal and community healthcare, sensor augmented gaming, virtual reality and smart transportation systems. More and more organizations and people are discovering how mobile phones can be used for social impact, including how to use mobile technology for environmental protection, sensing, and to leverage just-in-time information to make our movements and actions more environmentally friendly. In this paper we have described comprehensively all those systems which are using smart phones and mobile phone sensors for humans good will and better human phone interaction.

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Due to ubiquitous information requirements, market interest in mobile business intelligence (BI) has grown markedly. However, mobile BI market is a relatively new area that has been driven primarily by the IT industry. Yet, there is a lack of systematic study on the critical success factors for mobile BI. This research reviews the state-of-the-art of mobile BI, and explores the critical success factors based on a rigorous examination of the academic and practitioner literature. The study reveals that critical success factors of mobile BI generally fall into four key dimensions, namely security, mobile technology, system content and quality, and organisational support perspectives. The various research findings will be useful to organisations which are considering or undertaking mobile business intelligence initiatives.

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Background: New technology such as the internet and mobile phone applications (“apps”) are increasingly being used in clinical practice. However, little is known in regards to individual’s attitudes towards medical professionals using the internet and apps in the context of their own medical care. The aim of the present study was to examine and compare individual’s attitudes towards the use of medically related internet sites and apps in clinical practice. 


Method: Participants completed an on-line survey which contained questions regarding their own use of mobile phones and the internet, their use of healthcare facilities, and their attitudes towards medical professionals using the internet and apps during consultations. Attitudes were assessed by asking participants to rate 11 statements on a 5 point scale. 

Results: The survey was completed by 141 individuals. All participants owned a mobile phone, with 82% owning one with application support. Furthermore, all participants had access to the internet at home. Generally participants had more favourable attitudes towards medical professionals using the internet than apps. For example, participants found it more acceptable for doctors to use medically related internet sites than mobile phone apps during consultations with patients.

Conclusion: It is possible that attitudes towards the internet were more favourable than that for apps because the internet has been available longer and consequently individuals are more familiar with it. Prior to using newer electronic resources, especially apps, medical professionals should adequately inform patients in regards to their intended use to avoid potential misconceptions. 

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Background: Over the last few years mobile phone applications have been designed for healthcare professionals. However, little is known in regards to healthcare professionals’ use of and attitudes towards using smartphones (and applications) within clinical practice. Thus the aims of the present study were to enumerate the number of healthcare professionals that use mobile phones within clinical practice and their attitudes towards using them. Furthermore, given that the internet preceded smartphones, we also established healthcare professionals’ attitudes towards internet use in clinical practice as a comparison.

Method: Forty-three healthcare professionals from a range of disciplines and specialities who were predominantly working in Australia completed an anonymous online survey. 


Results: Ninety-one per cent of healthcare professionals owned a mobile phone of which 87% used it during clinical practice. No healthcare professional was supplied with a smartphone by their clinical/healthcare workplace. Consequently they used their privately owned device. For ten out of eleven analogous statements healthcare professionals had significantly more positive attitudes towards internet than mobile phone use in clinical practice. However, attitudes for eight of the ten statements pertaining to mobile phone use were positive. Mobile phones were perceived negatively in regard to confidentiality. Furthermore, healthcare professionals’ also had the perception that patients may think  that they are using their mobile for non-medical purposes.

Conclusion: Mobiles, including smartphones, are commonly used within clinical practice and at present most healthcare professionals use their privately owned device. Despite healthcare professionals having more positive attitudes toward internet use, their attitudes towards mobile use were largely positive. Our results suggest that mobile phone use, in particular smartphone use, within clinical practice is likely to increase in the future.