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Exploratory data analysis is challenging given the complexity of data. Models find structure in the data lessening the complexity for users. These models have parameters that can be adjusted to explore the data from many different angles providing more ways to learn about the data. "Human in the loop" means users can interact with the parameters to explore alternative structures. This exploration allows for discovery. This paper examines usability issues of Human-Model Interaction (HMI) fordoi:10.1145/2939502.2939505 dblp:conf/sigmod/SelfVFN16 fatcat:mgert2jowjfq3mil74xi6cmtz4