Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41395

Understanding the Valuation of Location Privacy: a Crowdsourcing-Based Approach

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Title: Understanding the Valuation of Location Privacy: a Crowdsourcing-Based Approach
Authors: Poikela, Maija
Toch, Eran
Keywords: crowdsourcing
location privacy
location valuation
usable privacy
Issue Date: 04 Jan 2017
Abstract: The exchange of private information for services or other benefits is a commonplace practice today in the advent of mobile technology. In the case of mobile services, the exchanged commodity is increasingly often spatial location of the user. To decide whether this transaction is beneficial, the user needs to evaluate the exchange value of this commodity. To assess the value users give to their location, and to understand its relationship with location sharing, we conducted a study on a mobile crowdsourcing platform (N=190). We find that users' valuation of location privacy is dependent on the sharing scenario. For instance, when the location is to be shared with an untrusted advertiser, the users require a premium as compensation for their information. Additionally, benefit perception and trust are found to be connected with more frequent location sharing, while perceived risks and privacy concern are associated with sharing one’s location less frequently.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41395
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.241
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Digital Location Minitrack



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