A survey on key fields of context awareness for mobile devices

Capurso, Nicholas; Mei, Bo; Song, Tianyi; Cheng, Xiuzhen; Yu, Jiguo

doi:10.1016/j.jnca.2018.05.006

Cited by 26 publications

(12 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the scope of context-aware systems and applications, relevant challenges, such as context acquisition and characterization, have been faced by multiple frameworks over the last years [14]. In particular, local versus centralized processing and energy consumption are still major challenges [36], especially when dealing with mobile applications [5]; however, most context-aware frameworks proposed in the past (such as [37]- [41]) do not even provide a performance analysis of resource consumption.…”

Section: Context-aware Applications Resource Consumptionmentioning

confidence: 99%

“…To identify user context, these apps collect information from the user and their environment and the particular app information is filtered accordingly, to only provide the user with the relevant one to him/her; however, such a task might imply further resource consumption [3], not only concerning battery usage, but also network traffic. Nevertheless, in order to be accepted by users, apps have to be efficient and consume a reasonable amount of resources [4], [5]. The user will have to weigh the functionalities offered by the app against resource consumption, but if there are several options available, they will probably choose the one that consumes the least amount of resources.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving Resource Consumption in Context- Aware Mobile Applications Through Alternative Architectural Styles

et al. 2019

View full text Add to dashboard Cite

Over the last years, the Internet of Things has fostered a growing interest in context-aware mobile applications; this fact is mainly due to highly favoring information provision from multiple Internetconnected devices. To identify user context, these applications collect information from the user and his/her environment and typically filter app information, so that the user receives only the interesting and relevant information. However, such a task usually implies further resource consumption on user mobile devices, not only regarding battery usage but also in terms of network traffic. Accordingly, although context-aware applications can improve user experiences in their daily lives, they must ensure the maintenance of lowlevel resource consumption; otherwise, the applications are promptly replaced by less consuming ones, and therefore, removed from the mobile market. In this paper, we evaluate and discuss several architectural styles for context-aware mobile applications, as well as, providing a set of guidelines to decide on the right architecture for a particular app depending on its characteristics. The use of such guidelines when choosing the right architectural style can strongly influence the resource consumption of context-aware mobile applications. Following these guidelines, user satisfaction of a context-aware mobile application may be improved, thus guaranteeing the app success.

show abstract

Section: Context-aware Applications Resource Consumptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving Resource Consumption in Context- Aware Mobile Applications Through Alternative Architectural Styles

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Nowadays, this domain is combined with other emerging software-related domains such as artificial intelligence, semantic web, internet of things (IoT), and hardware-related technologies (sensors, RFIDs, augmented reality-AR, etc.) [6,7]. Researchers and industries focus on collecting and utilizing contextual knowledge, every piece of information that is useful for inferring a user's situation and determining his/her requirements to display the right advertisement at the right time (contextual-based advertising) [8,9].…”

Section: Introduction 1advertisement Domainmentioning

confidence: 99%

Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework

Viktoratos

Tsadiras

2021

Information

View full text Add to dashboard Cite

This work conducts a systematic literature review about the domain of personalized advertisement, and more specifically, about the techniques that are used for this purpose. State-of-the-art publications and techniques are presented in detail, and the relationship of this domain with other related domains such as artificial intelligence (AI), semantic web, etc., is investigated. Important issues such as (a) business data utilization in personalized advertisement models, (b) the cold start problem in the domain, (c) advertisement visualization issues, (d) psychological factors in the personalization models, (e) the lack of rich datasets, and (f) user privacy are highlighted and are pinpointed to help and inspire researchers for future work. Finally, a design framework for personalized advertisement systems has been designed based on these findings.

show abstract

“…In [3], context awareness role in mobile computing was discussed, the study considered context to be the identity of the user, nearby users, location, time and season. Other studies that discussed what context could be can be found in [4] [5] [6].…”

Section: Introductionmentioning

confidence: 99%

A Defeasible Logic-based Framework for Contextualizing Deployed Applications

Al-Anbaki¹,

Obeid²,

Eddin³

2019

IJACSA

View full text Add to dashboard Cite

In human to human communication, context increases the ability to convey ideas. However, in human to application and application to application communication, this property is difficult to attain. Context-awareness becomes an emergent need to achieve the goal of delivering more user-centric personalized services, especially in ubiquitous environments. However, there is no agreed-upon generic framework that can be reused by deployed applications to support context-awareness. In this paper, a defeasible logic-based framework for contextawareness is proposed that can enhance the functionality of any deployed application. The nonmonotonic nature of defeasible logic has the capability of attaining justifiable decisions in dynamic environments. Classical defeasible logic is extended by metarules to increase its expressiveness power, facilitate its representation of complex multi-context systems, and permit distributed reasoning. The framework is able to produce justified decisions depending on both the basic functionality of the system that is itself promoted by contextual knowledge and any crosscutting concerns that might be added by different authorities or due to further improvements to the system. Active concerns that are triggered at certain contexts are encapsulated in separate defeasible theories. A proof theory is defined along with a study of its formal properties. The framework is applied to a motivating scenario to approve its feasibility and the conclusions are analyzed using argumentation as an approach of reasoning.

show abstract

A survey on key fields of context awareness for mobile devices

Cited by 26 publications

References 17 publications

Improving Resource Consumption in Context- Aware Mobile Applications Through Alternative Architectural Styles

Improving Resource Consumption in Context- Aware Mobile Applications Through Alternative Architectural Styles

Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework

A Defeasible Logic-based Framework for Contextualizing Deployed Applications

Contact Info

Product

Resources

About