Context-awareness on mobile devices - the hydrogen approach

Höfer, Thomas; Schwinger, Wieland; Pichler, Mario; Leonhartsberger, G.; Altmann, Josef; Retschitzegger, Werner

doi:10.1109/hicss.2003.1174831

Cited by 233 publications

(134 citation statements)

References 8 publications

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“…71 The majority of previous research contributions in movement analysis have investigated the external dimension, called physical (geographical) context (e.g., land use and weather conditions), although context encompasses the internal state of entities as well (e.g., user's desire and state). We adhere to this general classification because it is extendable and sufficiently flexible to be developed for the movement domain and build our taxonomy for context on the basis of internal and external contexts (see Figure 1).…”

Section: Taxonomy For Contextmentioning

confidence: 99%

Context‐aware movement analytics: implications, taxonomy, and design framework

Sharif

Alesheikh

2017

WIREs Data Min & Knowl

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Movement of an entity is greatly affected by its internal and external contexts. Such consequential influence has created new paradigms for context-aware movement data mining and analysis. The significance of incorporating contextual information and movement data is becoming quite evident because of the growing interest in context-aware movement analysis. Despite such importance, there is limited consensus among researchers on the definition of context and context-aware system design in movement studies. Therefore, this paper comprehensively reviews current concepts of context and provides a definition and a taxonomy for context in movement analysis. The paper proceeds by providing a definition of context-aware systems in the movement area after a complete review and comparison of the present definitions present in the literature. Inspired by related works, the paper further suggests a holistic three-layer design framework tailored to context-aware systems in movement studies to examine in greater depth the techniques applied during the design stages. The paper outlines the challenges and emergent issues in future research directions in context-aware movement analysis. The present study is an attempt to bridge the gap between solely using context and developing context-aware systems, thus paving the way for further research in movement applications. © 2017 Wiley Periodicals, Inc. How to cite this article:WIREs Data Mining Knowl Discov 2018Discov , 8:e1233. doi: 10.1002Discov /widm.1233 INTRODUCTIONM ovement is intrinsically a continuous phenomenon and is normally recorded as discrete snapshots at different temporal resolutions. The three fundamental sets pertinent to movement are space S (i.e., set of locations/places), time T (i.e., set of instants/intervals), and object O (i.e., set of entities). 1 In this paper, by movement we mean the change in the spatial location of one or more entities (e.g., people, animals, and vehicles) over time, not a change in entities' geometries (e.g., an individual's body parts). Such changes can be represented as a function μ: T ! S, which maps any time to a location in space. The purpose of analyzing movement data in the majority of research fields (e.g., geography, ecology, sociology, and transportation) has focused on the development of insights into the behavior of moving entities. However, the movement behavior of entities is generally associated with their internal states and external factors. 2 In other words, understanding entities' movement greatly depends on recognizing the characteristics attributed to the entity itself (e.g., the entities' purposes and intentions for movement, the entities' perceptions of space) as well as the discovery of geographical circumstances during the movement (e.g., weather conditions and traffic). We, respectively, term these influential variables internal and external contexts in this paper. of 19Because of the progress in sensing, imaging, tracking, and navigation technologies and infrastructures in recent years, unprecedented amount...

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Section: Taxonomy For Contextmentioning

confidence: 99%

Context‐aware movement analytics: implications, taxonomy, and design framework

Sharif

Alesheikh

2017

WIREs Data Min & Knowl

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“…Due to the nature of context-aware applications, which often react to changes of the context during their execution, context server is provided a subscription-based push mechanism [10], which provides synchronous access to the context. Context data distribution [11], is the capability to gather and to deliver relevant context data about the environment to all interested entities connected to the mobile ubiquitous system.…”

Section: A Contexts and Context Awarenessmentioning

confidence: 99%

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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“…GPS location). Note that this device may also be connected to, and retrieve data from, context provision units [5]. These units (e.g.…”

Section: Scalable Network Infrastructure For Context Processingmentioning

confidence: 99%

Quasi-omniscient Networks: Scenarios on Context Capturing and New Services Through Wireless Sensor Networks

Aguiar

Gomes

2008

Wireless Pers Commun

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This paper addresses future scenarios for the telecommunications field, addressing the impact of three important research trends in computer networks: Context, Sensors and Wireless Networks. The proposed scenarios clearly highlight the possible synergies between the defined areas, and describe the role of Users and Network Operators in order to achieve the described goals. The potential danger of an over-encompassing network is identified, with a brief discussion on the challenges associated to the implementation of such a knowledgeaware communications network. The paper finalizes presenting a classification on the typical scenarios to be expected, and highlighting the associated challenges. It also presents a proposal on a scalable network infrastructure for Context processing.

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Context-awareness on mobile devices - the hydrogen approach

Cited by 233 publications

References 8 publications

Context‐aware movement analytics: implications, taxonomy, and design framework

Context‐aware movement analytics: implications, taxonomy, and design framework

Contextual Requirements for Mobile Native Applications

Quasi-omniscient Networks: Scenarios on Context Capturing and New Services Through Wireless Sensor Networks

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