An Investigation of Coding Schemes for Sample Entropy Analysis of Communications Data

Abstract : An investigation into the effect of coding scheme choice for sample entropy analysis of communications data is presented. Semantic contentand speaker encoding of transmissions are explored. The results suggest a scheme with a greater number of categories will more likely passsurrogate testing, whether through finer distinctions of semantic categorization or through the additions of a speaker-content interaction. Theresults also suggest the way semantic categories are formed affects how well the scheme permits discrimination between workload conditionswith a known effect.