Extending Authoring Tools for Location-Aware Applications with an Infrastructure Visualization Layer

Oppermann, Leif; Broll, Gregor; Capra, Mauricio; Benford, Steve

doi:10.1007/11853565_4

Cited by 22 publications

(14 citation statements)

References 7 publications

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“…The authors suggested that uncertainty of user location should be addressed and categorised and they proposed five different strategies of dealing with it, depending on the context of application use. However, it was concluded in the follow-up research that a good representation of uncertainty is still a challenge [22]; and Patel et al [23] stated that it may even be more challenging when developing general-purpose applications for non-experts.…”

Section: Related Workmentioning

confidence: 98%

A Unified Scalable Model of User Localisation with Uncertainty Awareness for Large-scale Pervasive Environments

Aksenov

Luyten

Coninx

2011

2011 Fifth International Conference on Next Generation Mobile Applications, Services and Technologies

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Localisation has become a standard feature in many mobile applications. Numerous techniques for both indoor and outdoor location tracking are available today, providing a diversity of ways positioning information can be delivered to a mobile application (e.g., a location-based service). Such factors as the variation of precision over time and covered areas or the difference in quality and reliability make the adoption of several techniques for one application cumbersome. This work presents an approach that models the capabilities of localisation systems and then uses this model to build a unified view on localisation, with special attention paid to uncertainty coming from different localisation conditions and its presentation to the user. We discuss technical considerations, challenges and issues of the approach and report about a user study on users' acceptance of the suggested behaviour of an application based on the approach. The results of the study showed the feasibility of the approach and revealed users' preference towards automatic but yet informed changes they experienced while using the application.

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Section: Related Workmentioning

confidence: 98%

A Unified Scalable Model of User Localisation with Uncertainty Awareness for Large-scale Pervasive Environments

Aksenov

Luyten

Coninx

2011

2011 Fifth International Conference on Next Generation Mobile Applications, Services and Technologies

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“…GPS, Wi-Fi, Cell ID, Bluetooth, Near Field Communications (NFC) and more are examples. The range of the precision can have a big impact when building and designing location based applications or services; it can greatly influence the end-user experience such as in the case of mobile games [10]. This means that the range of precision can be applied to suit individual purposes.…”

Section: Introductionmentioning

confidence: 99%

Using the physicality of NFC to combat grokking of the check-in mechanic

Nandwani

Coulton

Edwards

2011

Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments

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Checking-in to social networks to inform 'friends' of a user's upto-date location and activities is becoming part of the information we reveal. However, it is possible for users to 'cheat' the system to gain extra points as the granularity of the positioning technologies allows a user to check-in to location they may not actually be physically present within. Whilst such actions may be of little concern to players they are significant to locations using such systems as a means of increasing engagement with customers. In this paper we present a system that prevents such abuse of the check-in mechanic by requiring a user to physically check-in at a location. This system allows location owners to validate location check-ins and provide added value services and an enhanced social experience by directly interacting with those utilizing such services.

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“…The problem is that although locationaware applications often need a neat position, with all technological details and sensing uncertainties hidden away, often access to these details are needed. For instance, for improving positioning using probabilistic tracking [1], visualizing the positioning infrastructure [2], minimizing energy consumption of location-aware applications [3] or adding high-level reasoning based on machine learning [4]. Therefore, a positioning middleware that gives a structured cross-level access to the positioning mechanisms is needed.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, access to low-level information and the ability of inspection and extension is needed to visualize the positioning infrastructure when authoring location-aware applications [2], manage sensors to minimizing energy consumption [3] or to structure the reasoning process when determining transportation mode of a target by segmentation, feature extraction, decision tree classification and hidden-markov model post processing [4]. When designing a middleware it is virtually impossible to foresee all the features that will be useful in the future.…”

Section: Introductionmentioning

confidence: 99%

PerPos: A Translucent Positioning Middleware Supporting Adaptation of Internal Positioning Processes

Jensen¹,

Schougaard²,

Kjærgaard

et al. 2010

Middleware 2010

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Abstract.A positioning middleware benefits the development of location aware applications. Traditionally, positioning middleware provides position transparency in the sense that it hides low-level details. However, many applications require access to specific details of the usually hidden positioning process. To address this problem this paper proposes a positioning middleware named PerPos that is translucent and adaptable, i.e., it supports both high-and low-level interaction. The PerPos middleware provides translucency with respect to the positioning process and allows programmatic definition of application specific features that can be applied to the internal position processing of the middleware. To evaluate these capabilities we extend the internal position processing of the middleware with functionality supporting probabilistic position tracking and strategies for minimization of the energy consumption. The result of the evaluation is that using only the proposed capabilities we can, in a structured manner, extend the internal positioning processing.

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Extending Authoring Tools for Location-Aware Applications with an Infrastructure Visualization Layer

Cited by 22 publications

References 7 publications

A Unified Scalable Model of User Localisation with Uncertainty Awareness for Large-scale Pervasive Environments

A Unified Scalable Model of User Localisation with Uncertainty Awareness for Large-scale Pervasive Environments

Using the physicality of NFC to combat grokking of the check-in mechanic

PerPos: A Translucent Positioning Middleware Supporting Adaptation of Internal Positioning Processes

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