By Topic

Groupanizer: a method to correlate multi-users position with daily moments

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
J. O. Caron ; Aoyama Morikawa Lab., Tokyo Univ., Japan ; Y. Kawahara ; H. Morikawa ; T. Aoyama

Groupanizer is an extension of groupware and constitutes a development platform to integrate user-centric information for the benefit of groupware applications. User-centric context is used in a collaborative manner to positively link and reinforce group member idiosyncrasies. In order to do so, monitoring of the user's daily context is essential, and thus, one aspect we aim at integrating is user physical position. We believe that common visited places and trajectories constitute one user-centric element that should be used to bias transactions - namely tasks or scheduling - in groupware. Although physical location could by itself be integrated in a model, we believe that motion behaviors are intrinsically linked to moments of daily life. We define those moments using three context elements - a time period, an activity and the current day. This definition leverages position mapping to include its implicit nature. Essentially, the aim is for our model to ideally reflect a group's ecology, namely relations between multiple users given their current and future locations. This paper defines the ontology, mapping locations and moments among users, and the hidden Markov model used to derive location patterns. Finally, it describes the experimentation phase and its results

Published in:

Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)

Date of Conference:

13-17 March 2006