research-article

Empirical models of privacy in location sharing

Authors:

Justin Cranshaw,

Paul Hankes Drielsma,

Janice Y. Tsai,

Patrick Gage Kelley,

James Springfield,

Norman SadehAuthors Info & Claims

UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computing

Pages 129 - 138

https://doi.org/10.1145/1864349.1864364

Published: 26 September 2010 Publication History

Abstract

The rapid adoption of location tracking and mobile social networking technologies raises significant privacy challenges. Today our understanding of people's location sharing privacy preferences remains very limited, including how these preferences are impacted by the type of location tracking device or the nature of the locations visited. To address this gap, we deployed Locaccino, a mobile location sharing system, in a four week long field study, where we examined the behavior of study participants (n=28) who shared their location with their acquaintances (n=373.) Our results show that users appear more comfortable sharing their presence at locations visited by a large and diverse set of people. Our study also indicates that people who visit a wider number of places tend to also be the subject of a greater number of requests for their locations. Over time these same people tend to also evolve more sophisticated privacy preferences, reflected by an increase in time- and location-based restrictions. We conclude by discussing the implications our findings.

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Cited By

Islami LKitkowska AFischer-Hübner S(2024)Inter-regional Lens on the Privacy Preferences of Drivers for ITS and Future VANETsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641997(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641997
Shamsazar S(2023)Attribute-Based Location Sharing for Cloud Computing EnvironmentsSSRN Electronic Journal10.2139/ssrn.4532163Online publication date: 2023
https://doi.org/10.2139/ssrn.4532163
Schmitt VLi ZPoikela MSpang RMöller SBoureanu ISchneider SReaves BTippenhauer N(2023)What is Your Location Privacy Worth? Monetary Valuation of Different Location Types and Privacy Influencing FactorsProceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks10.1145/3558482.3590180(19-29)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3558482.3590180
Show More Cited By

Index Terms

Empirical models of privacy in location sharing
1. Human-centered computing
  1. Collaborative and social computing
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design

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cover image ACM Conferences

UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computing

September 2010

366 pages

ISBN:9781605588438

DOI:10.1145/1864349

General Chairs:
Jakob E. Bardram
IT University of Copenhagen, Denmark
,
Marc Langheinrich
University of Lugano, Switzerland
,
Program Chairs:
Khai N. Truong
University of Toronto, Canada
,
Paddy Nixon
University College Dublin, Ireland

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 26 September 2010

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Ubicomp '10

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Ubicomp '10: The 2010 ACM Conference on Ubiquitous Computing

September 26 - 29, 2010

Copenhagen, Denmark

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UbiComp '10 Paper Acceptance Rate 39 of 202 submissions, 19%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Islami LKitkowska AFischer-Hübner S(2024)Inter-regional Lens on the Privacy Preferences of Drivers for ITS and Future VANETsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641997(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641997
Shamsazar S(2023)Attribute-Based Location Sharing for Cloud Computing EnvironmentsSSRN Electronic Journal10.2139/ssrn.4532163Online publication date: 2023
https://doi.org/10.2139/ssrn.4532163
Schmitt VLi ZPoikela MSpang RMöller SBoureanu ISchneider SReaves BTippenhauer N(2023)What is Your Location Privacy Worth? Monetary Valuation of Different Location Types and Privacy Influencing FactorsProceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks10.1145/3558482.3590180(19-29)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3558482.3590180
Özdal Oktay SHeitmann SKray C(2023)Linking location privacy, digital sovereignty and location-based services: a meta reviewJournal of Location Based Services10.1080/17489725.2023.223918018:1(1-52)Online publication date: 7-Aug-2023
https://doi.org/10.1080/17489725.2023.2239180
Schmitt VConde DSahitaj PMöller S(2023)What is Your Information Worth? A Systematic Analysis of the Endowment Effect of Different Data TypesSecure IT Systems10.1007/978-3-031-47748-5_13(223-242)Online publication date: 8-Nov-2023
https://doi.org/10.1007/978-3-031-47748-5_13
Wisniewski PPage X(2022)Privacy Theories and FrameworksModern Socio-Technical Perspectives on Privacy10.1007/978-3-030-82786-1_2(15-41)Online publication date: 9-Feb-2022
https://doi.org/10.1007/978-3-030-82786-1_2
Gonçalves TJerónimo PCorreia J(2021)Local News and Geolocation Technology in the Case of PortugalPublications10.3390/publications90400539:4(53)Online publication date: 11-Nov-2021
https://doi.org/10.3390/publications9040053
Namara MSloan HKnijnenburg B(2021)The Effectiveness of Adaptation Methods in Improving User Engagement and Privacy Protection on Social Network SitesProceedings on Privacy Enhancing Technologies10.2478/popets-2022-00312022:1(629-648)Online publication date: 20-Nov-2021
https://doi.org/10.2478/popets-2022-0031
Ruan OZhang LZhang Y(2021)Location-sharing protocol for privacy protection in mobile online social networksEURASIP Journal on Wireless Communications and Networking10.1186/s13638-021-01999-z2021:1Online publication date: 17-May-2021
https://doi.org/10.1186/s13638-021-01999-z
Ramokapane KMisra GSuch JPreibusch SKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Truth or Dare: Understanding and Predicting How Users Lie and Provide Untruthful Data OnlineProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445625(1-15)Online publication date: 6-May-2021
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