Evaluation of Overcluttering Prevention Techniques for Mobile Devices

Pombinho, Paulo; Carmo, Maria Beatriz; Afonso, Ana Paula

doi:10.1109/iv.2009.51

Cited by 15 publications

(13 citation statements)

References 10 publications

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“…Mobile devices feature small displays and limited interaction capabilities. Usability studies reveal that a naïve approach to information supply is not applicable to mobile usage of geographic information (Pombinho et al 2009). The most eminent problem arising from the large amount of spatial data available is the likelihood of human information suggested.…”

Section: Introductionmentioning

confidence: 99%

Criteria of geographic relevance: an experimental study

Sabbata

Reichenbacher

2012

International Journal of Geographical Information Science

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The relevance of geographic information has become an emerging problem in geographic information science due to an enormous increase in volumes of data at high spatial, temporal, and semantic resolution, because of ever faster rates of new data capturing. At the same time, it is not clear whether the concept of relevance developed in information science and implemented for document-based information retrieval can be directly applied to this new, highly dynamic setting. In this study, we analyze the criteria users apply when judging the relevance of geographic entities in a given mobile usage context. Two different experiments have been set up in order to gather users' opinions on a set of possible criteria, and their relevance judgements in a given scenario. The importance ascribed to the criteria in both experiments clearly implies that a new concept of relevance is required when dealing with geographic entities instead of digital documents. This new concept of 'Geographic Relevance' is highly dependent on personal mobility and user's activity, whose understanding may in turn be refined by the assimilation of 'Geographic Relevance' itself.

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Section: Introductionmentioning

confidence: 99%

Criteria of geographic relevance: an experimental study

Sabbata

Reichenbacher

2012

International Journal of Geographical Information Science

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“…After evaluating the previously described degree of interest function [10] it was concluded that although considered useful, the use of this type of function can be confusing. One of the reasons for this is the need to specify a large set of attributes for each query made and simultaneously understand and specify the weights for each of them.…”

Section: Adaptive Degree Of Interest Functionmentioning

confidence: 99%

Context aware point of interest adaptive recommendation

Pombinho

Carmo

Afonso

2012

Proceedings of the 2nd Workshop on Context-Awareness in Retrieval and Recommendation

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Applications that allow the users to search for nearby points of interest have, recently, become very popular amongst mobile device users. However, the increasing amount of available information and the limitations of current mobile devices can hinder an efficient and helpful user experience. It is fundamental that what is shown to the user is relevant. We propose an adaptive recommendation function that uses location and temporal contexts combined with the historical context of the previous searches to quantify the relevance of the points of interest shown to the user.

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“…In [16] an application for the visualization of points of interest on a 2D map interface was tested. This application used some adaptation methods that filtered the points of interest shown to the user depending on the location context and the user's search preferences, to show only the most relevant ones.…”

Section: Application Of the Frameworkmentioning

confidence: 99%