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

Locality and Privacy in People-Nearby Applications

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

Mike Lin


Outline

Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


Authors

Authors

Eran Toch

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

Tel Aviv University.


Authors1

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


Outline1

Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


Introduction

Introduction

  • People-Nearby Applications (PNAs)

  • For dating

    • Grindr or Skout

  • For finding activity partners

    • Highlight or Circle


Introduction1

Introduction

  • People-Nearby Applications (PNAs)

  • For dating

    • Grindr or Skout

  • For finding activity partners

    • Highlight or Circle


Introduction2

Introduction

  • People-Nearby Applications (PNAs)

  • For dating

    • Grindr or Skout

  • For finding activity partners

    • Highlight or Circle


Introduction3

Introduction

  • Badoo

    • 175 million users

  • Skout

    • 1 million new users every month

  • Grindr

    • 4.1 million registered users


Introduction4

Introduction

  • Two main contributions

    • Analysis of usage patterns

    • Connection of the physical realm and the digital realm


Introduction5

Introduction

  • Circle

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

  • SayHi

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


Outline2

Outline

Authors

Introduction

Related works

People-Nearby Applications

Methodology

Discussion

Comment


Related works

RELATED WORKS

  • Privacy in location-based social applications

    • Foursquare

      • empirically explore emerging usage practices in the real world.


Related works1

RELATED WORKS

  • computer-mediated communication

    • certain language-based strategies to reduce uncertainty


Related works2

RELATED WORKS

  • Hybrid ecology

  • Dragon Quest 9

    • interact with each other in an urban environment


Outline3

Outline

Authors

Introduction

Relatedworks

People-NearbyApplications

Methodology

Discussion

Comment


People nearby applications

PEOPLE-NEARBY APPLICATIONS

  • Focus

    • provide general means of communication between strangers


People nearby applications1

PEOPLE-NEARBY APPLICATIONS

  • Badoo is a social network where you can meet new people.

  • Email, name, age,gender, sexual orientation


People nearby applications2

PEOPLE-NEARBY APPLICATIONS

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

  • Facebook login


People nearby applications3

PEOPLE-NEARBY APPLICATIONS

  • Blendr-The new way to make friends nearby.

  • Birth date


People nearby applications4

PEOPLE-NEARBY APPLICATIONS

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

  • Facebook login


People nearby applications5

PEOPLE-NEARBY APPLICATIONS

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

  • Facebook login


People nearby applications6

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 applications7

PEOPLE-NEARBY APPLICATIONS

  • SayHi SayHi can help you find new people nearby!

  • Nickname, sexual orientation, birthdate


People nearby applications8

PEOPLE-NEARBY APPLICATIONS

  • SkoutInstantly meet people near you or around theworld.

  • Sexual orientation,search radius


People nearby applications9

PEOPLE-NEARBY APPLICATIONS


Outline4

Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


Methodology

METHODOLOGY

  • 100 KM or less from the interviewer.

  • 320 users were invited

  • Interviewed 25 participants.


Methodology1

METHODOLOGY

Why do participants use the applications?


Methodology2

METHODOLOGY

’talking with new people’,

’dating’, and ’making new Friends’


Methodology3

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


Methodology4

METHODOLOGY

Use of Location

I am here to meet people from Asia. I am interested

in the Far East.”-Female


Methodology5

METHODOLOGY

Use of Location

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


Methodology6

METHODOLOGY

Use of Location

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


Methodology7

METHODOLOGY

Trust Approaches

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


Methodology8

METHODOLOGY

Trust Approaches

“is not particularly safe”-Female


Methodology9

METHODOLOGY

Trust Approaches

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


Methodology10

METHODOLOGY

Trust Approaches

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


Methodology11

METHODOLOGY

Trust Approaches

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


Methodology12

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


Methodology13

METHODOLOGY

Trust Mechanisms

location, profile, chat and blocking.


Methodology14

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


Methodology15

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


Methodology16

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.


Methodology17

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


Methodology18

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


Methodology19

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


Methodology20

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


Methodology21

METHODOLOGY

Application Usage Context


Methodology22

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.”


Outline5

Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


Discussion

DISCUSSION

  • Pseudo-anonymized identity schema

  • Public-hybrid ecology

  • Search radius:

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


Outline6

Outline

Authors

Introduction

Relatedworks

People-Nearby Applications

Methodology

Discussion

Comment


Comment

COMMENT

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


Comment1

COMMENT

Radius:90km


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