Mobile guides: Taxonomy of architectures, context awareness, technologies and applications

Emmanouilidis, Christos; Koutsiamanis, Remous-Aris; Tasidou, Aimilia

doi:10.1016/j.jnca.2012.04.007

Cited by 125 publications

(83 citation statements)

References 82 publications

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“…The middleware architecture consists of four logical layers such as physical space layer, context data management layer, service management layer and application layer. A mobile guide [15], is a mobile app that provides context dependent services, indoor and outdoor navigation to users operating on personal digital assistants (PDA) and smart phone applications. Mobile guide also provides [15], location awareness, map based navigation, bookmarking, collaboration, contextual information with multimedia mechanisms to users.…”

Section: A Contexts and Context Awarenessmentioning

confidence: 99%

“…A mobile guide [15], is a mobile app that provides context dependent services, indoor and outdoor navigation to users operating on personal digital assistants (PDA) and smart phone applications. Mobile guide also provides [15], location awareness, map based navigation, bookmarking, collaboration, contextual information with multimedia mechanisms to users. The contexts in mobile guide are such as user, service, environment, system and social.…”

Section: A Contexts and Context Awarenessmentioning

confidence: 99%

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Contextual Requirements for Mobile Native Applications

Pani¹,

Mishra²

2017

ijacsa

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Abstract-Mobile apps have found wide acceptance in today's world which heavily depend on smart technology to access data over wide location. The apps are mostly of native type which can be used for accessing data even without the internet availability. In this paper the development of mobile native applications requires the assimilation of various analytical contexts depending on the requirement of users. We have done an empirical study of various papers based on ubiquitous systems and mobile apps for finding out the contexts in building mobile native apps and the mobile contexts are such as device context, user context, mobility context and social context. We have found that the overall weight of each mobile context is an empirical study. We have taken various activities which are performed among a user and mobile native apps and formed them into questionnaires which are sent to different mobile native app developers of different software industries. The mapping is done among these activities with the attributes and their associated mobile contexts. We have identified and obtained four contexts as main requirements for developing mobile native apps under any domain. The analysis of requirements is done modeling the contexts and their attributes through OWLDL language. We have determined from the empirical study that the overall weight of device context is more than the other contexts. Hence it is clear that the device context with its numerous features have a great impact on developing mobile native apps under any domain.

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Section: A Contexts and Context Awarenessmentioning

confidence: 99%

Section: A Contexts and Context Awarenessmentioning

confidence: 99%

Contextual Requirements for Mobile Native Applications

Pani¹,

Mishra²

2017

ijacsa

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“…In all of them, the proposed 2-way authentication protocols normally require heavy operating charges, especially on the mobile side (10)(11)(12)(13).…”

Section: To Prepare People For the Future Communication And Computer mentioning

confidence: 99%

Proposing a Secure Architecture for Mobile-Learning Environments and Investigating Teachers’ Attitude

Sadeghzadeh

Nakhaei

2017

Interdiscip J Virtual Learn Med Sci

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Background: The next generation of learning called mobile learning (m-learning) provides education to people through mobile devices. The security of mobile systems is an important issue due to users' mobility and use of various devices and different ways of connecting to the network. Therefore, the current study aimed at providing a secure architecture as the basis for use in m-learning software to improve the security of such systems and investigate professors' satisfaction with this architecture. Methods: The current applied study was conducted in 2014. Statistical population included all professors using m-learning in Tabas, Firdaus, and Birjand cities, Southern Khorasan, Iran (26 participants). The purposive sampling method was used. The reliability of the questionnaire was measured using Cronbach's alpha (94%) and the validity based on factor validity (explained percentage of variance) was 63%. According to the use of the web-based e-learning service in Southern Khorasan Payam-e-Noor University (PNU), it was attempted to write a mobile application to provide the use of this service on mobile devices. The difference between the current study provided app and other mobile apps is based on using the proposed secure architecture. To measure the satisfaction of users with the study app, a researcher-made questionnaire was distributed among the professors using the app. Data analysis was performed with SPSS 16 by t test and the one-way analysis of variance (ANOVA). Results: Findings showed that the professors using m-learning application of Southern Khorasan PNU had a positive attitude towards it with the average satisfaction of 80%. The most important factor for this satisfaction was the safety of the presented architecture, while avoiding complex and time-consuming control mechanisms. Conclusions: In the current study a secure architecture was provided for mobile system that was simple, fast, and applicable on all mobile network operators. Given the positive perspectives of professors, this architecture can be a good solution to secure mlearning environments.

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“…Another important feature that some surveys (Kenteris et al, 2011;Emmanouilidis et al) already have identified is the capability to dynamically adapt the recommended tour. The studied systems recommend a tour based on user interests and context.…”

Section: Systems Comparisonmentioning

confidence: 99%

Mobile application to provide personalized sightseeing tours

Anacleto¹,

Figueiredo²,

Almeida³

et al. 2014

Journal of Network and Computer Applications

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a b s t r a c tTourist recommendation systems have been growing over the last few years, mainly because of the use of mobile devices to obtain user context. This work discusses some of the most relevant systems on the field and presents PSiS Mobile, which is a mobile recommendation and planning application designed to support a tourist during his vacations. It provides recommendations about points of interest to visit based on tourist preferences and on user and sight context. Also, it suggests a visit planning which can be dynamically adapted based on current user and sight context. This tool works also like a journey dairy since it records the tourist moves and tasks to help him remember how the trip was like. To conclude, some field experiences will be presented.

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Mobile guides: Taxonomy of architectures, context awareness, technologies and applications

Cited by 125 publications

References 82 publications

Contextual Requirements for Mobile Native Applications

Contextual Requirements for Mobile Native Applications

Proposing a Secure Architecture for Mobile-Learning Environments and Investigating Teachers’ Attitude

Mobile application to provide personalized sightseeing tours

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