The Virtual Community: Finding Commection in a Computerized World
The Virtual Community: Finding Commection in a Computerized World
Approximate Information Flows: Socially-Based Modeling of Privacy in Ubiquitous Computing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Privacy and Rationality in Individual Decision Making
IEEE Security and Privacy
Keeping ubiquitous computing to yourself: a practical model for user control of privacy
International Journal of Human-Computer Studies - Special isssue: HCI research in privacy and security is critical now
Measuring self-disclosure online: Blurring and non-response to sensitive items in web-based surveys
Computers in Human Behavior
Human-Computer Interaction
Four billion little brothers?: privacy, mobile phones, and ubiquitous data collection
Communications of the ACM - Scratch Programming for All
Enhancing privacy management support in instant messaging
Interacting with Computers
The impact of perceived risk, intangibility and consumer characteristics on online game playing
Computers in Human Behavior
Sharing ephemeral information in online social networks: privacy perceptions and behaviours
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Privacy, availability and economics in the Polaris mobile social network
Proceedings of the 12th Workshop on Mobile Computing Systems and Applications
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Despite the rapid growth of context-aware systems and ubiquitous computing, the factors influencing users' decision to share their context information in a social setting are poorly understood. This study aims to clarify why users share their context information in social network service (SNS), even while they are concerned with the potential risk at the same time. Drawing on the diverse theories of self-disclosure, we take an approach that the consideration of benefit encourages users to endure the existence of risk, and that users actively adjust the way they share their information to optimize the level of benefit and risk. In a qualitative study, we examined what kinds of risks and benefits exist in context information sharing situations and how users control them. An experiment was conducted using stimuli that simulate the actual use of SNS to investigate the effect of various context types and control types on users' expected benefit and risk and their intention to share. The results showed that both expected benefit and expected risk influenced users' intention to share. More interestingly, the effect of expected benefit was found to be stronger than that of expected risk. Moreover, different privacy control strategies were found to have induced different effects on the expected benefit and expected risk. Implications and limitations of this study were proposed at the end of this study.