CybreMinder: A Context-Aware System for Supporting Reminders

Dey, Anind K.; Abowd, Gregory D.

doi:10.1007/3-540-39959-3_13

Cited by 167 publications

(119 citation statements)

References 13 publications

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“…For example, calendar or reminder programs [1] use time to display pertinent notifications to users. Tour guide applications [2,3] display different information based on the user's current physical location.…”

Section: Introductionmentioning

confidence: 99%

Supporting Generalized Context Interactions

Hackmann

Julien

Payton

et al. 2005

Lecture Notes in Computer Science

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Abstract. Context-awareness refers to a computing model where application behavior is driven by a continually-changing environment. Mobile computing poses unique challenges to context-sensitive applications and middleware, including the ability to run on resource-poor devices like PDAs and the necessity to limit assumptions about the underlying network. Though middleware exists to provide context-awareness to applications, they have not been designed with the limitations inherent in dynamic mobile environments in mind. This paper discusses a lightweight approach to context-sensitivity that takes into account these considerations. We explore the use of modularization to tailor service discovery policies for specific applications, as well as leveraging existing language constructs for simplifying the creation and aggregation of different context types. We also discuss a Java implementation of these concepts, along with three sample applications that can automatically propagate changes in context to clients running on devices varying from mobile phones to desktop computers.

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Section: Introductionmentioning

confidence: 99%

Supporting Generalized Context Interactions

Hackmann

Julien

Payton

et al. 2005

Lecture Notes in Computer Science

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“…During the years 2000 and 2001 a series of frameworks for the management of ubiquitous systems were developed [6], [7] and [8]. In particular, the most widely used architecture of the systems of the time was ContextToolkit.…”

Section: Related Workmentioning

confidence: 99%

Mobile Architecture for Communication and Development of Applications Based on Context

Morillo¹,

Ramírez²,

Abril³

et al. 2011

Lecture Notes in Computer Science

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Abstract. The arrival of ubiquitous computing and the increasing use of mobile devices can geta lot of information about the user. This information is used by some applications to adapt its functionality to the user itself and the surrounding environment. In this way the applications need to become more autonomous and less each time user interaction. However, the computational cost, battery consumption and the complex process of obtaining useful information from sensory data means that many applications do not use this information in a massive way. This research proposes a framework and a middleware for the development, implementation and communication of contextual applications. Using this architecture allows communication between applications so that they can share applications without contextual information should both generate. Thanks to definition of a SOA platform,subscription to services provided by other applications is possible through the middleware.

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“…An event-based location reminder system has been advocated by many human computer interaction projects [16,19,9,17,14]. Understandably, the primary focus of the work is from the point of view of the usability of such systems.…”

Section: Related Workmentioning

confidence: 99%

Scalable Processing of Spatial Alarms

Bamba¹,

Liu²,

Yu³

et al. 2008

High Performance Computing - HiPC 2008

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Spatial alarms extend the idea of time-based alarms to the spatial dimension. Just as time-based alarms are set to remind us of the arrival of a future reference time point, spatial alarms are set on a spatial location of interest which the subscribers of the alarm will travel to sometime in the future. Spatial alarm processing requires meeting two demanding objectives: high accuracy, which ensures zero or very low alarm misses, and high scalability, which requires highly efficient and optimal processing of spatial alarms. In this paper we present a motion-aware framework, facilitated by two systematic methods, for scalable processing of spatial alarms. First, we introduce the concept of safe period to minimize the number of unnecessary spatial alarm evaluations, increasing the throughput and scalability of the system. We show that our safe period-based alarm evaluation techniques can significantly reduce the server load for spatial alarm processing compared to the periodic evaluation approach, while preserving the accuracy and timeliness of spatial alarms. Second, we develop a suite of spatial alarm grouping techniques based on spatial locality of the alarms and motion behavior of the mobile users, which reduces the safe period computation cost for spatial alarm evaluation at the server side. We evaluate the scalability and accuracy of our approach using a road network simulator and show that the proposed motion-aware safe period-based approach to spatial alarm processing offers significant performance enhancements for the alarm processing server while maintaining high accuracy of spatial alarms, especially compared to the conventional periodic alarm evaluation approach.

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CybreMinder: A Context-Aware System for Supporting Reminders

Cited by 167 publications

References 13 publications

Supporting Generalized Context Interactions

Supporting Generalized Context Interactions

Mobile Architecture for Communication and Development of Applications Based on Context

Scalable Processing of Spatial Alarms

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