"About your smartphone usage" — Privacy in location-based mobile participation

Poikela, Maija; Schmidt, Robert; Wechsung, Ina; Möller, Sebastian

doi:10.1109/istas.2015.7439421

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…People perform their own risk and benefit assessment when they face a choice. The benefits provided by mHealth apps can be free cost, convenience, real-time health services, saving time, and other monetary incentives [46,47]. If users believe that the benefits outweigh the security and privacy risks, they may choose to sacrifice privacy and enjoy the benefits offered by the service, even though they still have concerns.…”

Section: Discussionmentioning

confidence: 99%

Barriers to and Facilitators of the Use of Mobile Health Apps From a Security Perspective: Mixed-Methods Study

Zhou¹,

Bao²,

Watzlaf³

et al. 2019

JMIR Mhealth Uhealth

178

148

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Background A large number of mobile health (mHealth) apps have been created to help users to manage their health or receive health care services. Many of these mHealth apps have proven to be helpful for maintaining or improving their users’ health. However, many people still choose not to use mHealth apps or only use them for a short period. One of the reasons behind this lack of use is the concern for their health information security and privacy. Objective The goal of this study was to determine the relationship between users’ characteristics and their security and privacy concerns and to identify desired security features in mHealth apps, which could reduce these concerns. Methods A questionnaire was designed and validated by the research team. This questionnaire was then used to determine mobile app users’ security and privacy concerns regarding personal health data in mHealth apps as well as the security features most users’ desire. A semistructured interview was used to identify barriers to and facilitators of adopting mHealth apps. Results In total, 117 randomly selected study participants from a large pool took part in this study and provided responses to the validated questionnaire and the semistructured interview questions. The results indicate that most study participants did have concerns about their privacy when using mHealth apps. They also expressed their preferences regarding several security features in mHealth apps, such as regular password updates, remote wipe, user consent, and access control. An association between their demographic characteristics and their concerns and preferences in security and privacy was identified; however, in most cases, the differences among the different demographic groups were not statistically significant, except for a few very specific aspects. These study participants also indicated that the cost of apps and lack of security features in mHealth apps were barriers for adoption, whereas having free apps, strong but easy-to-use security features, and clear user protection privacy policies might encourage them to use mHealth apps in their health management. Conclusions This questionnaire and interview study verified the security and privacy concerns of mHealth app users, identified the desired security and privacy features, and determined specific barriers to and facilitators of users adopting mHealth apps. The results can be used to guide mHealth app developers to create apps that would be welcomed by users.

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Section: Discussionmentioning

confidence: 99%

Barriers to and Facilitators of the Use of Mobile Health Apps From a Security Perspective: Mixed-Methods Study

Zhou¹,

Bao²,

Watzlaf³

et al. 2019

JMIR Mhealth Uhealth

178

148

View full text Add to dashboard Cite

show abstract

“…In this field of study, there are other proposed methods to conceal the location of a user [14] There are few existing studies regarding privacy perception surveys. in [18], results show that users have a variety of motivations for participating in location-based surveys and that these motivations depend on the type of the survey in question. This study concluded that users concerned with privacy are less likely to be motivated by a monetary benefit but by the importance of the topic and that the intrinsic motivators that drive the users concerned with privacy differ from those that drive unconcerned users.…”

Section: Related Workmentioning

confidence: 97%

Privacy perception in location-based services for mobile devices in the university community of the north coast of Colombia

Gamarra¹,

Fuentes²,

Calabria-Sarmiento³

et al. 2019

IyU

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Introduction: The use of mobile applications has increased in the last years. Most of them require the knowledge of the user location, either for their core service or for marketing purposes. Location-based services (LBS) offer context-based assistance to users based on their location. Although these applications ask the user for permission to use their location and even explain in detail how this information will be used in its terms and conditions, most users are not aware or even interested in the fact that their location information is stored in databases and monetized by selling it to third-party companies. Regarding this situation, we developed a study with the aim to assess perception, concerns and awareness from users about their location information. Methods: This work is based on an exploratory survey applied to the university community, mainly from the North Coast of Colombia, to measure the perception of location privacy of users with mobile devices. The questionnaire was applied using Google Forms. The survey has nineteen questions organized in three sections: personal information, identification of privacy and privacy management. These questions were designed to know the users’ perceptions of privacy concerns in LBS and any actions they take to preserve it. Results: The results show that, in general, the respondents do not have a real concern regarding the privacy of their geolocation data, and the majority is not willing to pay to protect their privacy. Conclusions: This type of surveys can generate awareness among participants about the use of their private information. The results expose in this paper can be used to create government policies and regulations by technology companies about the privacy management.

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“…Moreover, next-POI recommendation solutions have tried to address an important challenge of the domain, which is the lack of individual data about tourists' POI visits. In fact, tourists do have privacy concerns (Poikela et al 2015;Perentis, Vescovi, and Lepri 2015) and many tourists are reluctant to share their location with companies. As a consequence of that, for each single tourist, the set of opinions about the visited POIs., for example, booked hotels or attractions, could be very small and even empty (Bin et al 2019).…”

Section: Recommender Systems For Tourismmentioning

confidence: 99%

“…In fact, tourists do have privacy concerns (Poikela et al. 2015; Perentis, Vescovi, and Lepri 2015) and many tourists are reluctant to share their location with companies. As a consequence of that, for each single tourist, the set of opinions about the visited POIs., for example, booked hotels or attractions, could be very small and even empty (Bin et al.…”

Section: Recommender Systems For Tourismmentioning

confidence: 99%

Building effective recommender systems for tourists

Massimo

Ricci

2022

AI Magazine

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Recommender systems (RSs) are personalized information search and discovery applications helping users to identify and choose useful items and information. In this paper, we focus on the tourism application scenario and its specific requirements. We discuss a novel RS approach that copes with the specific application constraints of the domain and produces recommendations that better match the true needs of tourists. We illustrate the proposed next POI recommendation approach in a case study and we compare it with a state-of-the-art nearest neighbor-based next item RS. With the analysis of this case study, we aim at illustrating the specific features of the compared approaches also with the goal to raise the discussion on RSs validation methods, with a particular attention to tourism applications. We finally discuss some significant limitations of current evaluation approaches that must be addressed in future studies.

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"About your smartphone usage" — Privacy in location-based mobile participation

Cited by 4 publications

References 15 publications

Barriers to and Facilitators of the Use of Mobile Health Apps From a Security Perspective: Mixed-Methods Study

Barriers to and Facilitators of the Use of Mobile Health Apps From a Security Perspective: Mixed-Methods Study

Privacy perception in location-based services for mobile devices in the university community of the north coast of Colombia

Building effective recommender systems for tourists

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