User needs for location-aware mobile services

By Eija Kaasinen. Personal and Ubiquitous Computing, 2003

607 citations recorded by the source corpus.

Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Transportation

View Paper: https://www.semanticscholar.org/paper/0d8f17d8d1d05d6405be964648e7fc622c776c5d

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In Computer Science Applications

In Computer Vision and Pattern Recognition

In Transportation

Citations in the corpus

Bluetooth and WAP push based location-aware mobile advertising system (2004, background): “Kaasinen [8] analyzed user needs for mobile location-aware services.”
Inference Attacks on Location Tracks (2007, background): “In 55 interviews with subjects in Finland, Kaasinen[17] found that “.”
Expected user experience of mobile augmented reality services: a user study in the context of shopping centres (2011, background): “By further increasing the sensing capabilities of technology, location awareness [25, 39] is another key component in any ubiquitous computing service.”
The Determinants of Consumers' Attitude towards Advertising/LES DÉTERMINANTS DE L'ATTITUDE DES CONSOMMATEURS ENVERS LA PUBLICITÉ (2010, background): “Consumers’ always want to have quick access to information that they are looking for their current content of use, and it is possible that the information is automatically delivered to the consumers’ (Kaasinen, 2003). Studies such as Ramaprasad and Thurwanger (1998); Haghirian and Madlberger (2005);”
The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services (2009, background): “Future work could be directed to look into the applicability of our findings to different types of LBS applications (Kaasinen 2003).”
A peer-to-peer spatial cloaking algorithm for anonymous location-based service (2006, methodology): “Our employed privacy profile matches the privacy requirements of mobiles users as depicted by several social science studies (e.g., see [4, 15, 17, 22 , 29]).”
Understanding and capturing people’s privacy policies in a mobile social networking application (2009, background): “There has been a fair amount of user interface work looking at what information people are willing to share under what conditions, in the form of diary studies [2], interviews [9, 12, 15], surveys [20], and experience sampling techniques [6, 16].”
Personal privacy through understanding and action: five pitfalls for designers (2004, background): “This includes polls showing considerable public concern about privacy on the Internet [5-7]; interviews and surveys exploring privacy design issues for contextaware systems [8-10]; studies exposing privacy perceptions and practices in groupware [11], multimedia environments [12], and location-aware ”
Falling asleep with Angry Birds, Facebook and Kindle: a large scale study on mobile application usage (2011, background): “apps in our case – depend on their locations [14].”
A Formal Model of Obfuscation and Negotiation for Location Privacy (2005, background): “Within a pervasive computing environment, failure to protect location privacy has been associated with negative effects across at least three distinct areas [12,27,18].”
The new Casper: query processing for location services without compromising privacy (2006, unknown): “Our employed privacy proﬁle matches the privacy requirements of mobiles users as depicted by several social studies (e.g., see [6, 18, 20, 26, 32]).”
Redpin - adaptive, zero-configuration indoor localization through user collaboration (2008, background): “Luckily, however, surveys of the most prominent challenges and issues in ubiquitous computing have shown that it is sufficient to localize a user within room-level accuracy for almost all applications [1, 3, 6, 12, 15, 30].”
An architecture for privacy-sensitive ubiquitous computing (2004, unknown): “[8, 35, 43]), essays (e.”