The context is the set circumstances that surround an event or object as reminded by [1]. According to this definition, taking the context into account when analyzing an activity would require having at one's disposal information describing the circumstances that surround each object concerned by this activity. This information is, by definition, difficult to describe precisely at the beginning of the analysis and must be progressively defined during the analysis process. We propose to gradually define the context information surrounding objects concerned by the activity, based on the interactive learning of activity traces, revisited by successive interpretations during the analysis. The context model of the components proposed by [1] will be considered as the basis to define the activity components, which are the objects concerned by the activity. The approach by interactive discovery of knowledge from activity traces should allow to discover the values of these components but also new knowledge specific to the observed activity. This approach allows us to dynamically build the context useful to the activity analysis. This methodology will be applied in the field of transportation to determine the impact of driving behaviors on fuel consumption.