Abstract—Privacy has already been identified as the main threat to long-term success of ubiquitous computing, especially in environments, which target at promoting ubiquitous social networking. Notably, these environments are founded on disclosure of personal information and thus, the amount of data disclosed is directly proportional to potential networking benefits. The networking advantages would be maximized by sharing all available personal data, however this would result in jeopardizing of users’ privacy and a compromise is necessary. Consequently, privacy management systems of ubiquitous computing must be capable of disclosing only personal data, which is relevant, however not sensitive in specific circumstances. In this paper we provide insight into human personal data sensitivity and disclosure decisions by presenting results of an online survey regarding respondents’ willingness to share their personal information under different circumstances. We believe that our findings provide relevant inputs for the design of management privacy models in ubiquitous computing.
Index Terms—Information Disclosure, Privacy, Social Networking, Ubiquitous Computing.
Boon-Chong Seet is with the Auckland University of Technology, 92006, Auckland 1142, New Zealand (e-mail: bseet@aut.ac.nz).
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Cite: Antonio Sapuppo and Boon-Chong Seet, "An Empirical Investigation of Disclosure of Personal Information in Ubiquitous Social Computing,"
International Journal of Computer Theory and Engineering vol. 4, no. 3, pp. 373-378, 2012.
