Investigating How Automatic Disclosure of Partners' Location Influences Mobile Coordination
Publications associées (36)
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Securing access to data in location- based services and mobile applications requires the definition of spatially aware access- control systems. Even if some approaches have already been proposed either in the context of geographic database systems or conte ...
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This contribution presents an ongoing study focused on how location awareness feature modifies collaboration in the context of mobile computing. First it describes the environment we designed and implemented in the form of a mobile game called CatchBob!. T ...
In this paper we seek to empirically study the use of location-awareness of others in the context of mobile collaboration. We report on a field experiment carried out using a pervasive game we developed called CatchBob!. Using both quantitative and qualita ...
The purpose of this demonstration is to illustrate that an off-the-shelf Wireless Sensor and Actuator Network (WSAN) can be used to discover resource availability and guide mobile users to these resources without any support from a navigation system like G ...
There is an ever growing number of mobile learning applications based on location-awareness, However, there is still a lack of information concerning how it might impact socio-cognitive processes involved in collaboration. This is what the following empiri ...
Travel has many situations where context-aware computing can bring important benefits. In this paper, we describe an approach for integrating context-aware computing to a mobile travel assistant. Travel plans, generated using reality [2], are enriched with ...
"Where are you?". This recurring question when opening a mobile conversation attests the importance of spatialisation in social interactions. More and more applications support mutual location-awareness: they enable members of a group to locate their partn ...
The automatic analysis of real-life, long-term behavior and dynamics of individuals and groups from mobile sensor data constitutes an emerging and challenging domain. We present a framework to classify people's daily routines (defined by day type, and by g ...