Dynamically assigning multi-modality circumstantial data to assistant action requests for correlating with subsequent requests

A computing device, comprising:

• one or more microphones;
• memory storing instructions;
• one or more processors that execute the instructions to:
• receive audio data that is captured via the one or more microphones and that captures a spoken utterance, of a user, that is directed to an automated assistant of the computing device;
• determine, based on processing the audio data:
• that the spoken utterance requests performance, by the automated assistant, of an action that is of an ongoing action type, and
• that the user is non-authenticated;
• cause performance of the action in response to determining that the spoken utterance requests performance of the action;
• in response to determining that the user is non-authenticated and in response to determining that the action is of the ongoing action type:
• store, locally in the memory or other storage of the computing device and only transiently until one or more purge conditions are satisfied, circumstantial data and an association of the circumstantial data to the action, the circumstantial data characterizing one or more circumstantial conditions associated with the user providing the spoken utterance;
• receive, at the computing device and prior to the one or more purge conditions being satisfied, further user interface input that requests modification of the action;
• in response to the further user interface input requesting modification of the action:
• compare the circumstantial data, stored in association with the action, to further circumstantial data characterizing one or more circumstantial conditions associated with the further user interface input;
• and
• determine, in dependence on the comparing, whether to modify the action in accordance with the further user interface input.