Who wants to know what when? privacy preference determinants in ubiquitous computing
By Scott Lederer, Jennifer Mankoff, Anind K. Dey. CHI Extended Abstracts, 2003
348 citations recorded by the source corpus.
Subfields: Information Systems and Management, Sociology and Political Science, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/a99670dffaa3d2d39398582287b01b08bf02c8cd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Jason I. Hong
- James A. Landay
- Eric Horvitz
- Sunny Consolvo
- John Zimmerman
- Anind K. Dey
- Lorrie Faith Cranor
- Brian Y. Lim
In Sociology and Political Science
- Jason I. Hong
- Lorrie Faith Cranor
- Norman M. Sadeh
- James A. Landay
- Hana Habib
- Anind K. Dey
- Jonathan T. Grudin
- Eric Horvitz
In Human-Computer Interaction
- James A. Landay
- Sunny Consolvo
- Jason I. Hong
- Lorrie Faith Cranor
- Anind K. Dey
- John Zimmerman
- Eric Horvitz
- Scott Lederer
Citations in the corpus
- Privacy risk models for designing privacy-sensitive ubiquitous computing systems (2004, background): “It is also important to identify the intended data observers in a system, since this is a significant factor in whether or not a data sharer is willing to share personal information, as indicated by Adams’ work in privacy in multimedia spaces [3] and Lederer’s work in managing end-user privacy in ub”
- I'm the mayor of my house: examining why people use foursquare - a social-driven location sharing application (2011, background): “Past work [5, 11, 22, 25, 30, 31] has found that privacy is a barrier to adoption of location sharing services.”
- Personal privacy through understanding and action: five pitfalls for designers (2004, background): “We surveyed 130 people on the Web to investigate factors that determine privacy preferences in ubicomp [10].”
- 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].”
- Privacy Expectations and Preferences in an IoT World (2017, background): “Several of these factors have already been shown in prior work to be important to individuals, when presented individually or in combination [4, 17, 19, 20, 21, 22].”
- A study of preferences for sharing and privacy (2005, background): “Willingness to share may vary with the type of information, who will see it, and reason the data is being sought [1, 2, 3, 8 ].”
- Location disclosure to social relations: why, when, & what people want to share (2005, background): “User location and activity (Adams’ context) was found to be a factor of lesser importance, as supported by Lederer et al. [ 16 ].”