Training and Performance of Multi-team Systems in Naval Warfare Environments
(Room S320A)
30 Nov 17
10:30 AM
-
11:00 AM
Speaker(s):
Jessica Wildman, Florida Institute of Technology; Amy Bolton, ONR; Jennifer Pagan, NAWCTSD; Melissa Walwanis, NAWCTSD; Andrea Postlewate, StraCon Group Services LLC; Shelby-Jo Ponto, Florida Institute of Technology; Trevor Fry, Florida Institute of Technology; Leah Ellison, Florida Institute of Technology; Patrick Converse, Florida Institute of Technology; Alyssa Mercado, NAWCTSD
Multiteam systems (MTSs) often provide benefits over traditional teams when completing work or tasks in the context of complex and dynamic environments. However, challenges still exist in understanding and capturing the processes driving successful MTS performance. In the current effort, a cognitive task analysis (CTA) methodology was utilized to explore the driving antecedents of successful MTS coordination and integration within a carrier strike group (CSG) operating in a Naval warfare environment. The CTA identified critical incidents and emergent themes through structured interviews of 59 subject matter experts across Naval surface and air units operating in warfare environments. Researchers utilized a top down approach, leveraging existing frameworks (Ishak & Ballard, 2012; Marks, Mathieu, Zaccaro, 2001; Mathieu, Maynard, Rapp, & Gilson, 2008; Pagan, Kaste, Zemen, Walwanis, Wood, & Jorett, 2015; Wildman et al., 2012) of team knowledge, skills, and attitudes (KSAs) to be applied to the multiteam domain of the CSG. The framework was used to code CTA data to determine the KSAs necessary for successful MTS performance and modified to reflect domain specificity as required. The KSA framework was then used as guidance to provide recommendations for MTS training and performance measurement. These recommendations are currently being used to develop specific, multilevel performance measures of the KSAs needed to effectively operate in changing, complex environments. The development of these performance measures also coincides with efforts to develop training to provide feedback on coordination, information exchange, and other elements of MTS performance. Finally, efforts are also being conducted towards the development of experimental, quasi-experimental, and agent-based modeling in order to evaluate the recommendations and performance measurement criteria. Execution of these recommendations, performance measures, and training are expected to improve decision-making and