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Markov Modeling and Analysis of Team Communication.

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Bibliographic Details
Title: Markov Modeling and Analysis of Team Communication.
Authors: Martinez Ayala, Diego Fernando1 (AUTHOR) diego.f.martinez@uconn.edu, Balasingam, Balakumar1 (AUTHOR) bala@engr.uconn.edu, McComb, Sara2 (AUTHOR) sara@purdue.edu, Pattipati, Krishna R.1 (AUTHOR) krishna.pattipati@uconn.edu
Source: IEEE Transactions on Systems, Man & Cybernetics. Systems. Apr2020, Vol. 50 Issue 4, p1230-1241. 12p.
Subjects: Markov processes, Working hours, Teams, Information storage & retrieval systems, Communication planning, Tardiness
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. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
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. [ABSTRACT FROM AUTHOR]
ISSN:21682216
DOI:10.1109/TSMC.2017.2748985