Network tourism: A fallacy of location privacy!

This contribution aims to discuss if “locational” privacy in tourism is a fallacy! Nevertheless, the authors inform that the reason for this debate is 21st century tourist distinctive characteristic, constantly “wired” through ICT, leading to serious ethical issues as regards to personal privacy. Therefore, this paper is divided into five core sections: background (tourist, and ICT for tourism and tourist); control (etymology, the thin bound concerning security, and control and personal data); privacy (the concept, evolution, and dimensions); empirical evidences (overview, crime scene investigation, and keen exhibits); and finally, discussion (act 1 and act 2)

Network tourism: a fallacy of location privacy!

Abstract This contribution aims to discuss if "locational" privacy in tourism is a fallacy! Nevertheless, the authors inform that the reason for this debate is 21 st century tourist distinctive characteristic, constantly "wired" through ICT, leading to serious ethical issues as regards to personal privacy. Therefore, this paper is divided into five core sections: background (tourist, and ICT for tourism and tourist); control (etymology, the thin bound concerning security, and control and personal data); privacy (the concept, evolution, and dimensions); empirical evidences (overview, crime scene investigation, and keen exhibits); and finally, discussion (act 1 and act 2)

Intentions to Use Location-Based Services: Refining a Predictive Model and Understanding Contexts of Use

This thesis is concerned with the processes involved in the perception, adoption and use of location-based services (LBS). Location-based services are able to pinpoint the geographical position of an individual and are most often deployed on mobile devices. The capability for LBS to be integrated into other systems such as social networking sites is also growing. The focus of current LBS research is on the development of security measures to protect privacy. The actual privacy concerns of real LBS users, however, have not been considered. The work in this thesis examines location-based services from a user perspective. A previously untested predictive model of LBS was assessed, and shown to be unsuited to account for intentions to use the technology in a workplace setting. A revised and improved model is proposed that suggests four factors account for intentions: perceived usefulness, trust of the LBS provider, disclosure to employer and trust of the employer. This research investigated the types of location information that might be disclosed when using LBS, who the recipients might be, and how people categorise location information into meaningful clusters. Results showed that people have explicit LBS preferences, with the receiver of information and context playing a large role in determining disclosure. Three qualitative case studies aimed to understand implications of LBS use with different populations. Participants raised concerns about trustworthiness of their employer and knowledge of LBS providers, providing support for the theoretical model. These case studies suggest LBS could also successfully be applied to alternate user groups. These findings have important implications for LBS providers and industry. People have a desire to know who the LBS provider is and what role they will play. Making these issues explicit should improve trust and develop the user-LBS provider relationship. When implementing LBS in the workplace, consultation with employees and providing clear information may enhance trust of the employer

Applying privacy on the dissemination of location information

Recent achievements in the positioning technology enable the provision of location-based services that require high accuracy. On the other hand, location privacy is important, since position information is considered as personal information. Thus, anonymity and location privacy in mobile and pervasive environments has been receiving increasing attention during the last few years, and several mechanisms and architectures have been proposed to prevent "big brother" phenomena. In this paper, we discuss an architecture to shield the location of a mobile user and preserve the anonymity on the service delivery. This architecture relies on un-trusted entities to distribute segments of anonymous location information, and authorizes other entities to combine these portions and derive the actual location of a user. The paper describes how the proposed architecture takes into account the location privacy requirements, and how it is used by the end users' devices, e.g., mobile phones, for the dissemination of location information to Service Providers. Furthermore, it discusses performance study experiments, based on real location data, and summarizes the threats analysis results. © 2005 Elsevier Ltd. All rights reserved