Markov modeling and analysis of team communication

Document Type

Article

Publication Date

4-1-2020

Publication Title

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Volume

50

Issue

4

First Page

1230

Keywords

Hidden Markov models (HMMs), Markov chains (MCs), probability mass functions (PMFs), team communication, team performance

Last Page

1241

Abstract

This paper presents a predictive data analytics process for examining the relationship between team communication and performance in planning tasks. Team performance is measured in terms of the time each team spends in completing the planning task and the cost of the concomitant work schedule. The predictive data analytics process encompasses three data abstraction techniques for data preparation, three probabilistic models that represent the temporal features of data abstracted from team communication interactions, and a validation process that selects the best pair of data abstraction and model for subsequent insight analysis. Experimental data obtained from 32 teams of three members each, tasked to solve a personnel scheduling problem, is used for validating the proposed methodology.

DOI

10.1109/TSMC.2017.2748985

ISSN

21682216

E-ISSN

21682232

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