Humans are engaging in information exchange related to their activities using a wide range of social interaction tools. There is a need to automate this process of exchanging information as manual updates are time consuming and intrusive.In our research, we aim to solve the problem of detecting and inferring a user’s multiple activity infused presence information and then share this with the correct social interaction tool. Humans also inherently multitask in varying time spans and their higher level activities can be formed by different types of lower level activities which can be shared with different social interaction tools accordingly. We propose a system which can infer these multiple activities fromwearable sensors as well as other context information, then determine a user’s multiple presence information, i.e. crystal presence based on these activities by spatio-temporal analysis and then automatically share the correct presence information with the correct social-interaction tool automatically.