Enabling an Ecosystem of Personal Behavioral Data

Every computational system a person interacts with has the potential to keep a detailed log of that person’s behavior. The potential of long-term personal logs across many data sources promises a breadth of new service opportunities for improving people’s lives through deep personalization, tools to manage aspects of their personal wellbeing, and services that support identity construction. For example, applications might use data from communication logs to automate or partially automate the process of specifying sharing preferences by inferring the emotional closeness and life facet of the user’s social relationships with other people [3, 5]. Opportunities exist for using this data through tools to manage aspects of the user’s personal wellbeing like physical activity (i.e. observing movement with accelerometers and location) [2] or mental health (i.e. observing a user’s calls and text messages) [1]