Towards sharing life-log information with society

We are living in an era of social medias such as online communities and social networking sites. Exposing or sharing personal information to these communities has risks as well as benefits and there is always a challenge between the risks versus the benefits of using these technologies. Life-logs are pervasive tools or systems which sense and capture contextual information from the user’s environment in a continuous manner. A life-log produces a dataset which consists of a continuous streams of sensor data. Sharing this information has a wide range of advantages for both user and society. On the other side, in terms of individual privacy, life-log information is very sensitive. In this paper, first we list risks and benefits of sharing life-log information. Although social medias enable users to define share limitation for their information, but because of the life-log data structure, current sharing models are not capable of handling life-log information while maintaining user privacy. Therefore, based on the identified risks we propose a data model for sharing life-log information. This data model has been designed for life-logs and it tries to reduce the associated risks. Furthermore, ethics for providing and using life-log tools will be discussed. These ethics focus on reducing risks as much as possible while sharing life-log information.