An Exploration of Location Error Estimation

Dearman, David; Varshavsky, Alex; Lara, Eyal de; Truong, Khai N.

doi:10.1007/978-3-540-74853-3_11

Cited by 33 publications

(61 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, Rukzio et al found that displaying uncertainty slowed down user performance, because users would double-check fields with lower certainty [19]. In studies of presenting location information, visualizations of location certainty were found to improve user performance with location-based services [6,13]. Though not explicitly investigating about uncertainty, Yan et al found that displaying higher trust and reputation values of mobile applications increased users' willingness to continue using them [22].…”

Section: Displaying Uncertainty In Context-aware Applicationsmentioning

confidence: 99%

Investigating intelligibility for uncertain context-aware applications

Lim

Dey

2011

Proceedings of the 13th International Conference on Ubiquitous Computing

View full text Add to dashboard Cite

Context-aware applications use sensing and inference to attempt to determine users' contexts, and take appropriate action. However, they are prone to uncertainty, and this may compromise the trust users have in them. Providing intelligibility has been proposed to help explain to users how context-aware applications work in order to improve user impressions of them. However, we hypothesize that intelligibility may actually be harmful for applications that are very uncertain of their actions. We conducted a large controlled study of a location-aware and a sound-aware application, investigating the impact of intelligibility on understanding, and user impression of applications with varying certainty. We found that intelligibility impacts user impressions, depending on the application's certainty and behavior appropriateness. Intelligibility is helpful for applications with high certainty, but it is harmful if applications behave appropriately, yet display low certainty.

show abstract

Section: Displaying Uncertainty In Context-aware Applicationsmentioning

confidence: 99%

Investigating intelligibility for uncertain context-aware applications

Lim

Dey

2011

Proceedings of the 13th International Conference on Ubiquitous Computing

View full text Add to dashboard Cite

show abstract

“…In each task, the uncertainty was visualised according to either the referred basic technique, which previously proved to be beneficial for navigation tasks (Dearman et al 2007), or the experimental design under investigation. The results of the study show that the extended design turns out to be at least as good to use as the basic one, i.e.…”

Section: Discussionmentioning

confidence: 99%

“…But some factors about uncertainty can only become known when they appear, so that they need to be processed and visualised at run-time using the information at hand. For example, Dearman et al (2007) visualisation showing the predicted position only, a circle centred in the predicted position and extending proportionally to the speed of walking, and street segments, i.e. the routes along which the participants could actually walk, coloured also according to the walking speed.…”

Section: Visualising Uncertainty About Locationmentioning

confidence: 99%

O brother, where art thou located?: raising awareness of variability in location tracking for users of location-based pervasive applications

Aksenov

Luyten

Coninx

2012

Journal of Location Based Services

View full text Add to dashboard Cite

There is a diversity of ways to determine a user's location in a pervasive environment today. On a large-scale, this diversity often results in variability of location tracking conditions throughout the environment. For an important class of pervasive applications, which often rely on the ubiquitous availability of location tracking -location-based pervasive applications, the consistency of their behaviour under this variability cannot be guaranteed. This type of limitation raises a need for the adaptation of the application's behaviour that would reflect this variability. We investigated empirically how visualising different aspects of uncertainty about location and of the behaviour of localisation systems affects users' impressions about a location-based application. The two components -an ontology that models properties of localisation systems and a set of mapping rules that define how these properties should be visualised in a user interfaceare at the core of our approach to providing awareness. The results of the investigation show that the additional visual demand, intended for raising users' awareness of uncertainty about their location tracking conditions, is perceived to be beneficial by users. We reveal also that different characteristics of this awareness are of different importance to users. Furthermore, we conclude that the particular importance depends on users' personal profiles (e.g., their eyesight level), on the distance between the users (e.g., knowing about someone else's state is less important if they are far), and on the quality of tracking (the importance increases in problematic areas). Based on the obtained results and observations, we suggest a set of guidelines and visualisations which could be used in designing pervasive applications that require location tracking.

show abstract

“…As a study by Dearman et al [18] has shown, even this unspecific knowledge of the error distribution helps users of an LBS to perform better when e.g., solving location-specific tasks.…”

Section: A Error Distributionmentioning

confidence: 99%

“…The authors of [18] also introduced the use of multiple regression to estimate the position error. Using the training data and a smaller amount of test measurements for the reference spots, the system operator computes a linear model of the error that has to be expected based on a defined set of signal features.…”

Section: B Multiple Regressionmentioning

confidence: 99%