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Proceedings Paper

A location-based notification- and visualization-system indicating social activities
Author(s): Sammy David; Stefan Edlich
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Paper Abstract

This paper examines the implementation of a notification- and visualization-system generally aiming to provide users with a comprehensive possibility to spontaneously get in touch and stay in contact with their friends and acquaintances. Essential part of the system is the mobile application, based on the Google Android platform, which can be used to keep track about the spatial positions of a user's contacts. One of the main aspects of the presented system is the automatic contact alert mechanism, which notifies users every time that one or more of their contacts are located nearby. In case a contact is in vicinity the application initiates a visual and/or acoustic signal on the mobile device. At any time users are able to easily take a glance at a geographical map displaying the surrounding area of their current position and all of their online contacts within this area. Moreover, users have the possibility to retrieve further information for each of their displayed contacts (if provided by the contact), such as their current activity or specific location metadata, e.g. the speed, direction and distance of a contact to the user's own location. Additionally, a user can explicitly look out for a specific contact, regardless of where the contact is located globally, as long as the contact is logged on to the system and shares his/her location information. Furthermore, the system supports the exchange of location- and event-messages, enabling users to easily share location data or set up appointments with their contacts. Another main feature of the prototype is the automatic location context determination, which provides users not just the raw location information on a map, but also the contextual meaning specified by the contact. That means users can see that a contact is e.g. at home or at work, when the user is indeed within the spatial range of his home or work location. The system can detect automatically if a user reaches one of his most common places and provide this information to contacts (allowance required).

Paper Details

Date Published: 28 January 2009
PDF: 7 pages
Proc. SPIE 7256, Multimedia on Mobile Devices 2009, 72560Q (28 January 2009); doi: 10.1117/12.810140
Show Author Affiliations
Sammy David, TFH Berlin (Germany)
Stefan Edlich, TFH Berlin (Germany)

Published in SPIE Proceedings Vol. 7256:
Multimedia on Mobile Devices 2009
Reiner Creutzburg; David Akopian, Editor(s)

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