In order to help address problems of information overload in task domains that employ digital imagery, we have developed an interactive approach for the capture and reuse of image context information. Our work attempts to leverage a measure of the user's intentions with regard to tasks that they address and to model different aspects of the relationship between images and the domain tasks being performed. We analyze human-computer interaction information that enables us to infer why image contents are important in a particular context and how specific images have been used to address particular domain goals.