Using Quality of Context to Resolve Conflicts in Context-Aware Systems

Manzoor, Atif; Truong, Hong-Linh; Dustdar, Schahram

doi:10.1007/978-3-642-04559-2_13

Cited by 27 publications

(20 citation statements)

References 14 publications

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“…In practice, smartness manifests in proactive and/or responsive context-sensitive operations and adaptation to users and environmental situations. Smartness and context-awareness together lend themselves to a situated operation of systems [91]. For instance, Wagner and Arnfast implemented a context aware medication reminder system that responds to the context of the user and only disturbs the user when needed [92].…”

Section: Typical Applicationsmentioning

confidence: 99%

Ubiquitous computer aided design: A broken promise or a Sleeping Beauty?

Horváth

Vroom

2015

Computer-Aided Design

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Section: Typical Applicationsmentioning

confidence: 99%

Ubiquitous computer aided design: A broken promise or a Sleeping Beauty?

Horváth

Vroom

2015

Computer-Aided Design

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“…Work by Buchholz et al [3], Henricksen et al [4] and Manzoor et al [5] defined several quality metrics for context information. Buchholz et al [3] argued on the importance of QoC for real-life applications to make effective use of provided context information.…”

Section: Related Workmentioning

confidence: 99%

A Methodological Approach to Quality of Future Context for Proactive Smart Systems

Vanrompay

Berbers

2012

Internet of Things, Smart Spaces, and Next Generation Networking

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Abstract. Many current context-aware systems only react to the current situation and context changes as the occur. In order to anticipate to future situations and exhibit proactive behavior, these systems should also be aware of their future context. Since predicted context is uncertain and can be wrong, applications need to be able to assess the quality of the predicted context information. This allows applications to make a wellinformed decision whether to act on the prediction or not. In this paper, we present prediction quality metrics to evaluate the probability of future situations. These metrics are integrated in a structured prediction component development methodology, which is illustrated by a health care application scenario. The metrics and the methodology address the needs of the developer aiming to build context-aware applications that realize proactive behavior with regard to past, present and future context.

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“…Ranganathan et al [10] proposed a model for dealing with uncertainty in different situations. Manzoor et al [11] use the QoC (Quality of Context) parameter to resolve the conflicts that occur from the diverse sensing method. The QoC is evaluated dynamically through the context data.…”

Section: B the Context Qualitymentioning

confidence: 99%

“…Policies used to resolve the conflicts are suggested by using performance parameters, such as up-to datedness, trustworthiness, completeness, and significance [11], [12] .…”

Section: B the Context Qualitymentioning

confidence: 99%

Efficient context-aware selection based on user feedback

Lee

Kim

2012

IEEE Trans. Consumer Electron.

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Adaptive services in pervasive environments are based on the correct detection of context. However, sensor malfunctions and inappropriate inference in regards to dynamic environments can lead to incorrect context detection that is unintended by the user. In addition, an appropriate context-aware method needs to be accurate even when environmental conditions change. Feedback from the user is one of the methods used to correctly acquire contextual information and feedback data that can be used to select the adaptive context-aware method. This paper presents a scheme that evaluates context-aware methods based on the feedback data from the user. The evaluation is performed by comparing the feedback data within the context of the currently running context-aware methods. The error rates of all the contextaware methods are calculated and the service provider then selects the appropriate context-aware method which possesses the smallest error rate amongst them. Experiment results show that the proposed method improves the context-aware rate by up to 10.3% compared to the trust-worthiness based method and 16.4% compared to the voting method. 1

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Using Quality of Context to Resolve Conflicts in Context-Aware Systems

Cited by 27 publications

References 14 publications

Ubiquitous computer aided design: A broken promise or a Sleeping Beauty?

Ubiquitous computer aided design: A broken promise or a Sleeping Beauty?

A Methodological Approach to Quality of Future Context for Proactive Smart Systems

Efficient context-aware selection based on user feedback

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