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Social Serendipity Review

Presentation on main concepts of using bluetooth as a means to facilitate interaction with individuals in close proxmity. Work by MIT Media Laboratory. Presented by Guillermo Cabrera

Guillermo Cabrera

on 14 April 2010

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Transcript of Social Serendipity Review

Questions Social Serendipity:
Mobilizing Social
Software Nathan Eagle and Alex Pentland
MIT Media Laboratory What is Serendipity Application Goal: Facilitate interaction with
individuals in close proximity Centralized 802.11 Bluetooth Components BlueAware BlueDar Passive Bluetooth ID Mobile Information Device Profile (MIDP) Energy Consumption
Continous -> Once every 5 min Proximity log BTID || TimeStamp if detect new BTID and not in log
then send to SERVER via GPRS
endif Goal: Transmit BTID to server via 802.11 Static Class 1 Bluetooth
(30 - 100 mts) Applications Mobile Profile Matching Relationship Inference Use weights for attributes Compute similarity score Track behavioral data? Threshold 1. Server (S) gets data 2. S gets user profiles (MySQL) 3. Compute similarity score 4. If score > threshold 4.1 Alert both users 4.2 Send pic and talk points =o Include cell tower information (ex. cell tower IDs, communication logs) Use proximity context to infer relationships User studies Privacy Conclusions Tested at conferences High density in talks Avoid suggestions by introducing "BLOCK" devices 1 out of 150 has "visible" device "Revealing BTID does not reveal identity" “ Releasing the data and just removing the names does nothing for privacy. If you know their name and a few records, then you can identify that person in the other (private) database. ” Vitaly Shatikov, CS Profesor, UTexas Great amount of testing, but limited results Similar to PeopleNet, relies on finer granularity Extend? Devices as mules for far apart individuals with same interests Possible to decentralize and make use of MANET? Idea to combine cell tower information good
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