A Privacy Awareness System for Ubiquitous Computing Environments
By Marc Langheinrich. Ubiquitous Computing, 2002
583 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/9f4bd1889760045a07f3bc57f26c8b01e4782d45
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sabrina De Capitani di Vimercati
- Marco Cremonini
- Claudio Agostino Ardagna
- Lorrie Faith Cranor
- Jason I. Hong
- Pierangela Samarati
- Ernesto Damiani
- Laura Brandimarte
In Information Systems
- Jason I. Hong
- Lorrie Faith Cranor
- Alessandro Acquisti
- Norman M. Sadeh
- James A. Landay
- Florian Schaub
- Laura Brandimarte
- Saranga Komanduri
In Sociology and Political Science
- Lorrie Faith Cranor
- Jason I. Hong
- Florian Schaub
- Norman M. Sadeh
- Laura Brandimarte
- Sabrina De Capitani di Vimercati
- Marco Cremonini
- Claudio Agostino Ardagna
Citations in the corpus
- The Third Wave?: Inclusive Privacy and Security (2017, unknown): “In addition, there are more design-oriented privacy frameworks [12, 40, 52, 57, 87].”
- Enhancing Lifelogging Privacy by Detecting Screens (2016, background): “For instance, Virtual Walls [20] suppresses sharing sensor data based on the physical metaphor of transparency, while Langheinrich [25] uses “beacons” to push sharing preferences to nearby devices.”
- Location-Based Services for Mobile Telephony: a Study of Users' Privacy Concerns (2003, background): “Another study compares general privacy concerns in different situations to the inquirer of the information and finds that inquirer is a greater determinant for what people want to reveal, than situation (Lederer et al., 2002).”
- Preserving Privacy in Environments with Location-Based Applications (2003, methodology): “While such a validator does not begin to address the desire for calm technology it is a useful component at the end of a chain of other validators when the system has been unable to decide automatically whether or not to accept a request.”
- A Design Space for Effective Privacy Notices (2015, background): “…developed design space can help designers, developers, and researchers identify notice and choice requirements and develop a comprehensive notice concept for their system that addresses the needs of different audiences and considers the system’s limitations and opportunities for providing notice.”
- Location Privacy Protection Through Obfuscation-Based Techniques (2007, background): “Other works study the possibility of protecting users privacy through the definition of complex rule-based policies [10, 11].”
- Nudges for Privacy and Security (2017, background): “…research in privacy and security decision making has been explored for over 15 years in the computer science literature (see Bishop [2000], Langheinrich [2002], and Cranor and Garfinkel [2005], respectively); in comparison, the exploration of soft paternalism or nudging to support online…”
- Location privacy in pervasive computing (2008, background): “Policy-based techniques are based on the definition of privacy policies and provide solutions for the protection of all privacy categories [22] [26] [28] [31] [34].”
- Protecting Location Privacy Through Path Confusion (2005, background): “Prior work on location-aware systems has concentrated on privacy-policy mechanisms [19, 18, 12], where service providers publish policies that explain data collection and handling practices to potential users.”
- Personal privacy through understanding and action: five pitfalls for designers (2004, unknown): “nearby ubicomp systems in the manner of Langheinrich’s Privacy Awareness System [25].”
- A Formal Model of Obfuscation and Negotiation for Location Privacy (2005, background): “, [28, 19, 21]), the IETF draft geographic location privacy charter (GeoPriv; e.”
- An architecture for privacy-sensitive ubiquitous computing (2004, background): “Langheinrich [47] described pawS, a privacy awareness system for ubicomp that lets deployed systems announce P3P policies of what data is being collected, and offers database support for enforcing those policies.”