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Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland
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Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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Page 1: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Locality and Privacy in People-Nearby Applications

Mike LinUbiComp’13, September 8–12, 2013, Zurich, Switzerland

Page 2: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Outline

AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment

Page 3: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Authors

Eran TochLecturerDepartment of Industrial Engineering, The Iby and Aladar Fleischman Faculty of Engineering , Tel Aviv University.

Page 4: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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

Page 5: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Outline

AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment

Page 6: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Introduction

People-Nearby Applications (PNAs)•For dating

•Grindr or Skout•For finding activity partners

•Highlight or Circle

Page 7: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Introduction

People-Nearby Applications (PNAs)•For dating

•Grindr or Skout•For finding activity partners

•Highlight or Circle

Page 8: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Introduction

People-Nearby Applications (PNAs)•For dating

•Grindr or Skout•For finding activity partners

•Highlight or Circle

Page 9: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Introduction

Badoo•175 million users

Skout •1 million new users every month

Grindr•4.1 million registered users

Page 10: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Introduction

•Two main contributions •Analysis of usage patterns•Connection of the physical realm and the digital realm

Page 11: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Introduction

• Circlehttp://www.youtube.com/watch?v=WYTT3FoKrMo

• SayHihttp://www.youtube.com/watch?v=utAfdLVByLI

Page 12: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Outline

AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment

Page 13: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

RELATED WORKS

• Privacy in location-based social applications•Foursquare

•empirically explore emerging usage practices in the real world.

Page 14: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

RELATED WORKS

• computer-mediated communication• certain language-based strategies to reduce uncertainty

Page 15: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

RELATED WORKS

• Hybrid ecology• Dragon Quest 9

• interact with each other in an urban environment

Page 16: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Outline

AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment

Page 17: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

Focus•provide general means of communication between strangers

Page 18: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

•Badoo is a social network where you can meet new people.•Email, name, age,gender, sexual orientation

Page 19: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

•Banjo integrates the largest social networks to provide on-the-ground view.•Facebook login

Page 20: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

•Blendr -The new way to make friends nearby.•Birth date

Page 21: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

•Circle Social Radar to find your friends and contacts that are nearby.•Facebook login

Page 22: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

•Highlight -Fun, simple way to learn more about the people around you.•Facebook login

Page 23: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

•Grindr Grindr is the essential location-based app to meet gay, bi and curious guys for dating, socializing and friendship.•Nickname

Page 24: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

•SayHi SayHi can help you find new people nearby! •Nickname, sexual orientation, birthdate

Page 25: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

•Skout Instantly meet people near you or around theworld.•Sexual orientation,search radius

Page 26: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

PEOPLE-NEARBY APPLICATIONS

Page 27: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Outline

AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment

Page 28: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

•100 KM or less from the interviewer.

•320 users were invited

•Interviewed 25 participants.

Page 29: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Why do participants use the applications?

Page 30: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

’talking with new people’,’dating’, and ’making new Friends’

Page 31: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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

Page 32: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Use of Location

I am here to meet people from Asia. I am interestedin the Far East.”-Female

Page 33: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Use of Location

”I am here mainly to improve my English.”-Male

Page 34: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Use of Location

”the location does tell me a little about them, their culture, their perception.” -Female

Page 35: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Trust Approaches

“nothing can help me trust people in this application”-Female

Page 36: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Trust Approaches

“is not particularly safe”-Female

Page 37: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Trust Approaches

“I do not believe that you can find someone who can be trusted through this app”.-Female

Page 38: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Trust Approaches

“Deception is very easy. Everybody can fill in fake details into their profiles.”- Male

Page 39: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Trust Approaches

“Everybody wears a mask when they are online”-Female

Page 40: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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

Page 41: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Trust Mechanisms

location, profile, chat and blocking.

Page 42: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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

Page 43: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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

Page 44: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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.

Page 45: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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

Page 46: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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

Page 47: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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

Page 48: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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

Page 49: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

METHODOLOGY

Application Usage Context

Page 50: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

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.”

Page 51: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Outline

AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment

Page 52: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

DISCUSSION

•Pseudo-anonymized identity schema•Public-hybrid ecology•Search radius:

•Average of 50km,Standard deviation of 20km.

Page 53: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

Outline

AuthorsIntroductionRelated worksPeople-Nearby ApplicationsMethodologyDiscussionComment

Page 54: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

COMMENT

Mark Zuckerberg -This is a map of all of the friendships formed on Facebook across the world. 2013/9/24

Page 55: Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland.

COMMENT

Radius:90km