• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content

Loading…

Flash Player 9 (or above) is needed to view presentations.
We have detected that you do not have it on your computer. To install it, go here.

Like this presentation? Why not share!

Empirical Models of Privacy in Location Sharing

on

  • 1,661 views

Recently, I presented our paper "Empirical models of privacy in location sharing" (PDF) in Ucibomp - a great conference about mobile computing. The idea behind the paper is to study what type of ...

Recently, I presented our paper "Empirical models of privacy in location sharing" (PDF) in Ucibomp - a great conference about mobile computing. The idea behind the paper is to study what type of privacy preferences people assign to distinct places in location sharing scenarios (e.g., when using applications such as Foursquare, Facebook Places and Google Latitude). In order to study this question, we asked 28 people to use our location sharing application, Locaccino, with their actual friends for a month. We found out that people are more likely to share places with high entropy: places which are visited frequently by a diverse population. Entropy is a super-easy method for predicting which places will be shared. Also, we have seen that users who visit lots of low entropy places are more likely to have more privacy concerns and more restrictive privacy preferences.

You can find more information about the paper here: http://bit.ly/aRLqje

Statistics

Views

Total Views
1,661
Views on SlideShare
1,615
Embed Views
46

Actions

Likes
0
Downloads
34
Comments
0

2 Embeds 46

http://useroriented.wordpress.com 44
http://feeds.feedburner.com 2

Accessibility

Upload Details

Uploaded via as Apple Keynote

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • The one measure that was significant was location entropy <br />
  • The one measure that was significant was location entropy <br />
  • The one measure that was significant was location entropy <br />
  • The one measure that was significant was location entropy <br />
  • We showed unique locations - 500 meters away from other places <br /> And only locations in which they were 5 minutes or more <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • <br />
  • Number of observations has a bias in in homes. If users visits their home a lot, then they will have high entropy. <br />
  • <br />

Empirical Models of Privacy in Location Sharing Empirical Models of Privacy in Location Sharing Presentation Transcript