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Social net: using patterns of physical proximity over time to infer shared interests
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Source Conference on Human Factors in Computing Systems archive
CHI '02 extended abstracts on Human factors in computing systems table of contents
Minneapolis, Minnesota, USA
SESSION: Short Talks table of contents
Pages: 816 - 817  
Year of Publication: 2002
ISBN:1-58113-454-1
Authors
Michael Terry  Georgia Tech, Atlanta, GA
Elizabeth D. Mynatt  Georgia Tech, Atlanta, GA
Kathy Ryall  Mitsubishi Electric Research Labs, Cambridge, MA
Darren Leigh  Mitsubishi Electric Research Labs, Cambridge, MA
Sponsors
SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGDOC: ACM Special Interest Group for Design of Communications
SIGLINK: Hypertext, Hypermedia, and Web
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 18,   Downloads (12 Months): 89,   Citation Count: 23
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ABSTRACT

We describe Social Net, a novel interest-matching application that uses patterns of collocation, over time, to infer shared interests between users. Social Net demonstrates new possibilities and methods for using the capabilities of mobile devices equipped with RF-communications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bleep at First Sight. Wired News. http://www.wired.com/news/culture/0,1284,12342,00.html
 
2
Cybiko, Inc. http://www.cybiko.com
 
3
The Official Bluetooth Wireless Info Site. http://www.bluetooth.com
 
4
Holmquist, L.E., Falk J., and Wigström, J., Supporting Group Collaboration with Inter-Personal Awareness Devices. Journal of Personal Technologies 3(1--2) 1999.
 
5

CITED BY  23

Collaborative Colleagues:
Michael Terry: colleagues
Elizabeth D. Mynatt: colleagues
Kathy Ryall: colleagues
Darren Leigh: colleagues