Locality and privacy in people nearby applications
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Locality and Privacy in People-Nearby Applications. UbiComp’13, September 8–12, 2013, Zurich, Switzerland. Mike Lin. Outline. Authors Introduction Related works People-Nearby Applications Methodology Discussion Comment. Authors. Eran Toch

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Locality and Privacy in People-Nearby Applications

UbiComp’13, September 8–12, 2013, Zurich, Switzerland

Mike Lin


Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


Authors

Eran Toch

LecturerDepartment of Industrial Engineering, The Iby and Aladar Fleischman Faculty of Engineering ,

Tel Aviv University.


Authors

Lab and Research Group at 

Tel Aviv University

Junior Faculty - Cognitive Aspects of Human Factors, Quantitative Models of Human Performance at Tel Aviv University

Project Manager & Inter-Enterprise Process Management System Designer at IBM

Security Staff at IAA


Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


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

  • Circle

    http://www.youtube.com/watch?v=WYTT3FoKrMo

  • SayHi

    http://www.youtube.com/watch?v=utAfdLVByLI


Outline

Authors

Introduction

Related works

People-Nearby Applications

Methodology

Discussion

Comment


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

Authors

Introduction

Relatedworks

People-NearbyApplications

Methodology

Discussion

Comment


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

  • SkoutInstantly meet people near you or around theworld.

  • Sexual orientation,search radius


PEOPLE-NEARBY APPLICATIONS


Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


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 interested

in 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 Mechanisms

  • Question: 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 Mechanisms

Question: does the physical location [of the other

person] affect your trust?

Answer: -Female

Yes. 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 the

person 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: -Male

Facebook. You cannot fake pictures with friends,and friends’ comments and stuff like that.”


Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


DISCUSSION

  • Pseudo-anonymized identity schema

  • Public-hybrid ecology

  • Search radius:

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


Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


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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