In the instances where a model thinks all historical samples should be considered equally important in a sequential analysis task, we must look elsewhere for a computationally inexpensive means to understand what happened at the stopping point. 
 Question: Can their method of creating more informative visuals be applied to tasks other than turn taking in conversations?
computationally inexpensive means to understand what happened at the stopping point