Explanations play an important part in the interaction with any intelligent system. This is particular important in context-aware and social awareness systems that regularly assume responsibility for a user and act proactively. Explanations are often generated using all available information. However, privacy issues in context-aware systems might dictate a limited distribution of information. The work presented here demonstrates how personal awareness-systems can fulfil different goals a user can have towards explanations, yet maintain a sensible level of privacy.