You are not logged in.

Sensing and using social context

Adams, Brett, Phung, Dinh and Venkatesh, Svetha 2008, Sensing and using social context, ACM transactions on multimedia computing communications and applications, vol. 5, no. 2, pp. 1-27.

Attached Files
Name Description MIMEType Size Downloads

Title Sensing and using social context
Author(s) Adams, Brett
Phung, DinhORCID iD for Phung, Dinh orcid.org/0000-0002-9977-8247
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Journal name ACM transactions on multimedia computing communications and applications
Volume number 5
Issue number 2
Start page 1
End page 27
Total pages 27
Publisher Association for Computing Machinery
Place of publication New York, N. Y.
Publication date 2008-11
ISSN 1551-6857
1551-6865
Keyword(s) multimedia browsing
social context
algorithms
human factors
experimentation
Summary We present online algorithms to extract social context: Social spheres are labeled locations of significance, represented as convex hulls extracted from GPS traces. Colocation is determined from Bluetooth and GPS to extract social rhythms, patterns in time, duration, place, and people corresponding to real-world activities. Social ties are formulated from proximity and shared spheres and rhythms. Quantitative evaluation is performed for 10+ million samples over 45 man-months. Applications are presented with assessment of perceived utility: Socio-Graph, a video and photo browser with filters for social metadata, and Jive, a blog browser that uses rhythms to discover similarity between entries automatically.
Language eng
Field of Research 080305 Multimedia Programming
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2008, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044270

Document type: Journal Article
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 12 times in TR Web of Science
Scopus Citation Count Cited 25 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 311 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Thu, 05 Apr 2012, 16:02:29 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.