social net

Wireless, peer-to-peer RF-communication is an increasingly accessible option when designing mobile devices, such as PDAs. This project seeks to explore new possibilities for utilizing these communication capabilities in mobile electronic devices.

Social Net is a novel interest-matching application that looks at patterns of collocation over time to infer shared interests between people. When two people are frequently observed near one another, Social Net searches for a mutual friend to introduce the two. In this way, Social Net strikes a balance between the affordances and capabilities of the technology (i.e., the ability to detect long-term trends of collocation between people) and the natural ability for people to mediate interpersonal interactions (e.g., deciding if, when, and how two people should be introduced).

 

 

people
Michael Terry [mterry@cc.gatech.edu]
Elizabeth Mynatt [mynatt@cc.gatech.edu]

 

funding
This project is funded by MERL.

 

publications
Terry, M., Mynatt, E.D., Ryall, K., and Leigh, D. (2002). "Social net: Using patterns of physical proximity over time to infer shared interests." In Extended Abstracts of the ACM Conference on Human Factors in Computing Systems (CHI 2002). Minneapolis, Minnesota: ACM Press, pp. 816-817. [pdf]