Locality and Privacy in People-Nearby Applications
Mike LinUbiComp’13, September 8–12, 2013, Zurich, Switzerland
Outline
AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment
Authors
Eran TochLecturerDepartment of Industrial Engineering, The Iby and Aladar Fleischman Faculty of Engineering , Tel Aviv University.
Authors
Lab and Research Group at Tel Aviv UniversityJunior Faculty - Cognitive Aspects of Human Factors, Quantitative Models of Human Performance at Tel Aviv University
Project Manager & Inter-Enterprise Process Management System Designer at IBMSecurity Staff at IAA
Outline
AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment
Introduction
People-Nearby Applications (PNAs)•For dating
•Grindr or Skout•For finding activity partners
•Highlight or Circle
Introduction
People-Nearby Applications (PNAs)•For dating
•Grindr or Skout•For finding activity partners
•Highlight or Circle
Introduction
People-Nearby Applications (PNAs)•For dating
•Grindr or Skout•For finding activity partners
•Highlight or Circle
Introduction
Badoo•175 million users
Skout •1 million new users every month
Grindr•4.1 million registered users
Introduction
•Two main contributions •Analysis of usage patterns•Connection of the physical realm and the digital realm
Introduction
• Circlehttp://www.youtube.com/watch?v=WYTT3FoKrMo
• SayHihttp://www.youtube.com/watch?v=utAfdLVByLI
Outline
AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment
RELATED WORKS
• Privacy in location-based social applications•Foursquare
•empirically explore emerging usage practices in the real world.
RELATED WORKS
• computer-mediated communication• certain language-based strategies to reduce uncertainty
RELATED WORKS
• Hybrid ecology• Dragon Quest 9
• interact with each other in an urban environment
Outline
AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment
PEOPLE-NEARBY APPLICATIONS
Focus•provide general means of communication between strangers
PEOPLE-NEARBY APPLICATIONS
•Badoo is a social network where you can meet new people.•Email, name, age,gender, sexual orientation
PEOPLE-NEARBY APPLICATIONS
•Banjo integrates the largest social networks to provide on-the-ground view.•Facebook login
PEOPLE-NEARBY APPLICATIONS
•Blendr -The new way to make friends nearby.•Birth date
PEOPLE-NEARBY APPLICATIONS
•Circle Social Radar to find your friends and contacts that are nearby.•Facebook login
PEOPLE-NEARBY APPLICATIONS
•Highlight -Fun, simple way to learn more about the people around you.•Facebook login
PEOPLE-NEARBY APPLICATIONS
•Grindr Grindr is the essential location-based app to meet gay, bi and curious guys for dating, socializing and friendship.•Nickname
PEOPLE-NEARBY APPLICATIONS
•SayHi SayHi can help you find new people nearby! •Nickname, sexual orientation, birthdate
PEOPLE-NEARBY APPLICATIONS
•Skout Instantly meet people near you or around theworld.•Sexual orientation,search radius
PEOPLE-NEARBY APPLICATIONS
Outline
AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment
METHODOLOGY
•100 KM or less from the interviewer.
•320 users were invited
•Interviewed 25 participants.
METHODOLOGY
Why do participants use the applications?
METHODOLOGY
’talking with new people’,’dating’, and ’making new Friends’
METHODOLOGY
Use of Location
”Of course that location is important. I want to find someone and meet her, so why should I waste time on just talking? I won’t talk with someone who is 200 kilometer away.” -Male
METHODOLOGY
Use of Location
I am here to meet people from Asia. I am interestedin the Far East.”-Female
METHODOLOGY
Use of Location
”I am here mainly to improve my English.”-Male
METHODOLOGY
Use of Location
”the location does tell me a little about them, their culture, their perception.” -Female
METHODOLOGY
Trust Approaches
“nothing can help me trust people in this application”-Female
METHODOLOGY
Trust Approaches
“is not particularly safe”-Female
METHODOLOGY
Trust Approaches
“I do not believe that you can find someone who can be trusted through this app”.-Female
METHODOLOGY
Trust Approaches
“Deception is very easy. Everybody can fill in fake details into their profiles.”- Male
METHODOLOGY
Trust Approaches
“Everybody wears a mask when they are online”-Female
METHODOLOGY
Trust Approaches
“Everything seems to be fake here. I do not think that I will be ablento meet someone here... I do not trust these apps very much.” -Male
METHODOLOGY
Trust Mechanisms
location, profile, chat and blocking.
METHODOLOGY
Trust Mechanisms
“Knowing the distance kind of helps me trust people.The feeling is that you can trust someone nearby as he or she are not total strangers.”-Male
METHODOLOGY
Trust MechanismsQuestion: Does location helps you trust other people?Answer: -Male
Yes, in a sense. Also, because they see where I am. If I am saying that I am somewhere near X and they see that its really so.On the other hand, its also possible to use [location] for deception by blocking it on the mobile.
.-Male
METHODOLOGY
Trust MechanismsQuestion: does the physical location [of the otherperson] affect your trust?Answer: -FemaleYes. The further away I am, the more I believe there is no chance of meeting that person.
METHODOLOGY
Trust Mechanisms
“I try to ask a lot of questions, and to request photos to see if the person is trustworthy or not.”-Male
METHODOLOGY
Trust Mechanisms
“A profile picture and a picture album mean that theperson is actually the person in the picture... Posts, vocabulary and location give an indication for intelligence and trust.”-Male
METHODOLOGY
Trust Mechanisms
“I ask some basic questions, and I continue to where it takes me. If I see that it [the chat] becomes harassing,I block right away.”-Female
METHODOLOGY
Privacy Management
•Recognizable picture•only 3 out of the 7 females exhibiting
•“I never give my [phone] number here or my Facebook [page].”-Female
METHODOLOGY
Application Usage Context
METHODOLOGY
Application Usage Context“I move them to Skype, with camera and all that.”-
Female
“Question: How do you make sure that someone is trustful?
Answer: -MaleFacebook. You cannot fake pictures with friends,and
friends’ comments and stuff like that.”
Outline
AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment
DISCUSSION
•Pseudo-anonymized identity schema•Public-hybrid ecology•Search radius:
•Average of 50km,Standard deviation of 20km.
Outline
AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment
COMMENT
Mark Zuckerberg -This is a map of all of the friendships formed on Facebook across the world. 2013/9/24
COMMENT
Radius:90km
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