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The price is right?: economic value of location sharing

Authors:

Omer Barak,

Gabriella Cohen,

Alla Gazit,

Eran TochAuthors Info & Claims

UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

Pages 891 - 900

https://doi.org/10.1145/2494091.2497343

Published: 08 September 2013 Publication History

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Abstract

The popularity of location-based services such as Foursquare has made location sharing a common practice. Commercial companies can use the shared location for marketing purposes and often motivate users to share using discounts or special offers. We examine the reward users demand in such a scenario to try and estimate the value they ascribe to their own location information. Our user study is conducted using a mobile phone application that randomly offers users hypothetical money coupons in exchange for publishing their location. Responses by 25 participants to 481 such offers show that the willingness to share increases with coupon value, yet varies greatly with the location being shared. We use logistic regression to estimate the value above which most users will share their location and find it to be ∈8/∈5.4 ($10.4/$7) for a user's home and work respectively. This work contributes to the growing body of knowledge about the economic aspects of location-based services.

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Cited By

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Shore ACummings J(2022)An Exploratory Analysis of Interface Features Influencing Mobile Location Data DisclosureInternational Journal of Human–Computer Interaction10.1080/10447318.2022.210442839:19(3758-3773)Online publication date: 8-Aug-2022
https://doi.org/10.1080/10447318.2022.2104428
Poikela MPoikela M(2019)Quantifying Location PrivacyPerceived Privacy in Location-Based Mobile System10.1007/978-3-030-34171-8_6(83-107)Online publication date: 19-Dec-2019
https://doi.org/10.1007/978-3-030-34171-8_6
Keßler CMcKenzie G(2017)A geoprivacy manifestoTransactions in GIS10.1111/tgis.1230522:1(3-19)Online publication date: 6-Dec-2017
https://doi.org/10.1111/tgis.12305
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Index Terms

The price is right?: economic value of location sharing
1. Security and privacy
  1. Human and societal aspects of security and privacy
2. Social and professional topics
  1. Computing / technology policy
    1. Privacy policies

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Published In

UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

September 2013

1608 pages

ISBN:9781450322157

DOI:10.1145/2494091

General Chairs:
Friedemann Mattern
ETH Zurich, CH
,
Silvia Santini
TU Darmstadt, DE
,
Program Chairs:
John F. Canny
UC Berkeley, US
,
Marc Langheinrich
Università della Svizzera italiana, CH
,
Jun Rekimoto
University of Tokyo, JP

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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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2013

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UbiComp '13

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SIGMOBILE
University of Florida
SIGCHI

UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 8 - 12, 2013

Zurich, Switzerland

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UbiComp '13 Adjunct Paper Acceptance Rate 254 of 399 submissions, 64%;

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

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Cited By

View all

Shore ACummings J(2022)An Exploratory Analysis of Interface Features Influencing Mobile Location Data DisclosureInternational Journal of Human–Computer Interaction10.1080/10447318.2022.210442839:19(3758-3773)Online publication date: 8-Aug-2022
https://doi.org/10.1080/10447318.2022.2104428
Poikela MPoikela M(2019)Quantifying Location PrivacyPerceived Privacy in Location-Based Mobile System10.1007/978-3-030-34171-8_6(83-107)Online publication date: 19-Dec-2019
https://doi.org/10.1007/978-3-030-34171-8_6
Keßler CMcKenzie G(2017)A geoprivacy manifestoTransactions in GIS10.1111/tgis.1230522:1(3-19)Online publication date: 6-Dec-2017
https://doi.org/10.1111/tgis.12305
Reinhardt DMichalak MLokaiczyk RHara TShigeno H(2016)Job Alerts in the WildProceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/2994374.2994383(65-74)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/2994374.2994383
Hosio SFerreira DGoncalves Jvan Berkel NLuo CAhmed MFlores HKostakos VKaye JDruin ALampe CMorris DHourcade J(2016)Monetary Assessment of Battery Life on SmartphonesProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858285(1869-1880)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858285
Barak OCohen GToch E(2016)Anonymizing mobility data using semantic cloakingPervasive and Mobile Computing10.1016/j.pmcj.2015.10.01328:C(102-112)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2015.10.013

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