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Reality Mining and Personal Privacy Will Privacy Disappear when Social Sensors Learn Our Lives ?

We define reality mining as quantifying and modeling long-term human behavior and social interactions, by using mobile phones and wearable badges as sensors that capture realworld face-to-face interactions. In this paper, we describe two experiments that use this approach: (a) understanding the diffusion of social behaviors using mobile phones at an undergraduate dormitory for an entire year and (b) studying the interactions that influence workplace and task-level productivity at a data server configuration firm, using badges for an entire month. We illustrate that this approach allows us to build better computational and social models of human behavior. Such data and tools are promising for computational social science applications, but the legal and ethical boundaries around data ownership and user privacy are still unclear. For example, who owns such employee data in a corporate setting? In the consumer setting, what data access rights should service providers have? How are users who don’t directly participate in research or use applications affected? In the second part of this paper, we discuss our perspective on these questions within the context of the above experiments. Keywordshuman behavior modeling; reality mining; privacy and