Effects of Contextual Properties on Users' Privacy Preferences in Mobile Computing Environments

Kim, Seung Hyun; Ko, Han-Gyu; Ko, In-Young; Choi, Daeseon

doi:10.1109/trustcom.2015.413

Cited by 6 publications

(7 citation statements)

References 22 publications

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“…A representative concept of the utility-privacy trade-off is called the privacy calculus theory. Kim et al defined various types and quality levels of private information in an ontology-based model called the quality of private information (QoPI) model [8]. The majority of related studies simply assumed that the service utility is inversely related to the privacy risk and presented various mathematical models to express utility-privacy trade-offs.…”

Section: Utility-privacy Trade-offsmentioning

confidence: 99%

“…Figure 1 shows the QoPI model that they proposed in their previous work [8]. To do that, it is necessary to define multiple quality levels of private information and the modification methods that modify the original private information according to the quality level selected by a user.…”

Section: Multilevel Privacy Controlsmentioning

confidence: 99%

“…Furthermore, applications that run in mobile computing environments generally incorporate regular private information [8]. The authors have focused on studying users in mobile computing environments, because they have become the most popular and common computing environments employed by people worldwide.…”

Section: Design Of the User Surveymentioning

confidence: 99%

“…They found that these privacy-related factors significantly influence the users' privacy decisions. Kim et al defined various types and quality levels of private information in an ontology-based model called the quality of private information (QoPI) model [8]. A QoPI level defines the quality of private information that can be sent to a mobile application by modifying the original private information to a form that meets a user's privacy requirement.…”

Section: Utility-privacy Trade-offsmentioning

confidence: 99%

“…In the previous study, they conducted an intensive survey on existing approaches to represent multiple abstraction levels of private information, and defined a model to represent five different quality levels of private information (from "no disclosure of private information" (Level 0) to "full disclosure of private information" (Level 4)) that can be applied to various types of private information in the mobile computing domain. Figure 1 shows the QoPI model that they proposed in their previous work [8]. The parts that are highlighted with a red box are for specifying the QoPI levels and the modification methods.…”

Section: Multilevel Privacy Controlsmentioning

confidence: 99%

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How do multilevel privacy controls affect utility-privacy trade-offs when used in mobile applications?

Kim

2018

ETRI Journal

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In existing mobile computing environments, users need to choose between their privacy and the services that they can receive from an application. However, existing mobile platforms do not allow users to perform such trade‐offs in a fine‐grained manner. In this study, we investigate whether users can effectively make utility‐privacy trade‐offs when they are provided with a multilevel privacy control method that allows them to recognize the different quality of service that they will receive from an application by limiting the disclosure of their private information in multiple levels. We designed a research model to observe users’ utility‐privacy trade‐offs in accordance with the privacy control methods and other factors such as the trustworthiness of an application, quality level of private information, and users’ privacy preferences. We conducted a user survey with 516 participants and found that, compared with the existing binary privacy controls, both the service utility and the privacy protection levels were significantly increased when the users used the multilevel privacy control method.

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Section: Utility-privacy Trade-offsmentioning

confidence: 99%

Section: Multilevel Privacy Controlsmentioning

confidence: 99%

Section: Design Of the User Surveymentioning

confidence: 99%

Section: Utility-privacy Trade-offsmentioning

confidence: 99%

Section: Multilevel Privacy Controlsmentioning

confidence: 99%

See 3 more Smart Citations